# Generated from the GASP Standard (https://gaspwiki.com) by `npm run derive` in gasp-wiki-mcp. Do not edit; edit /standard/ and re-run. version: 0.2.0.dev0 name: GASP reference model description: "GASP Standard reference model: the canonical SaaS datasets, their joins and every computable GASP metric. Sources and columns use the canonical names; an adopter's mapping replaces them. https://gaspwiki.com" datasets: - name: revenue_event source: gasp.revenue_event description: "Revenue event. Kind: event. CEL class: Revenue_Event." primary_key: - event_id fields: - name: change_nature expression: dialects: - dialect: OSSIE_SQL_2026 expression: change_nature description: permanent, temporary or scheduled_reversal (Adjusted NRR/GRR) datatype: String ai_context: instructions: One of permanent, temporary, scheduled_reversal - name: currency expression: dialects: - dialect: OSSIE_SQL_2026 expression: currency description: ISO 4217 currency code datatype: String - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: event_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_date dimension: is_time: true description: Date the event occurred datatype: Date - name: event_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_id description: Unique, immutable event identifier datatype: String - name: event_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_type description: Revenue movement classifier (CEL Revenue_Event.event_type) datatype: String ai_context: instructions: One of new, expansion, contraction, churn, reactivation, renewal - name: expansion_classification expression: dialects: - dialect: OSSIE_SQL_2026 expression: expansion_classification description: ATL expansion tag; required for NRR-M and ARR-M datatype: String ai_context: instructions: One of same_product, new_module, new_buying_centre, pricing_adjustment, recontracting, usage_realisation - name: lifecycle_attribution expression: dialects: - dialect: OSSIE_SQL_2026 expression: lifecycle_attribution description: ATL lifecycle tag datatype: String ai_context: instructions: One of acquisition, activation, retention, expansion, reactivation, servicing - name: mrr_change expression: dialects: - dialect: OSSIE_SQL_2026 expression: mrr_change description: Change in MRR; negative for contraction and churn datatype: Decimal - name: new_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: new_mrr description: MRR after the event datatype: Decimal - name: prior_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: prior_mrr description: MRR before the event datatype: Decimal - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. datatype: String - name: subscription_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: subscription_id description: Subscription identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"event","cel":"Revenue_Event"}' - name: cost_event source: gasp.cost_event description: "Cost event. Kind: event. CEL class: Cost_Event." primary_key: - event_id fields: - name: cost expression: dialects: - dialect: OSSIE_SQL_2026 expression: cost description: Cost amount (CEL Cost_Event.amount) datatype: Decimal - name: cost_centre expression: dialects: - dialect: OSSIE_SQL_2026 expression: cost_centre description: Department or team that incurred the cost datatype: String ai_context: instructions: One of marketing, sales, customer_success, support, engineering, product, finance, people, services, partnerships, general - name: cost_function expression: dialects: - dialect: OSSIE_SQL_2026 expression: cost_function description: Purpose of cost (ATL cost function, extended to all cost events) datatype: String ai_context: instructions: One of gtm, implementation, onboarding, infrastructure, support, success_engineering, account_management, research_development, general_administrative, services_delivery, recruiting, partner_program, partner_commission - name: cost_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: cost_type description: Nature of cost (CEL) datatype: String ai_context: instructions: One of personnel, software, services, infrastructure, other - name: currency expression: dialects: - dialect: OSSIE_SQL_2026 expression: currency description: ISO 4217 currency code datatype: String - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: event_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_date dimension: is_time: true description: Date the event occurred datatype: Date - name: event_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_id description: Unique, immutable event identifier datatype: String - name: lifecycle_attribution expression: dialects: - dialect: OSSIE_SQL_2026 expression: lifecycle_attribution description: ATL lifecycle tag datatype: String ai_context: instructions: One of acquisition, activation, retention, expansion, reactivation, servicing - name: partner_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_id description: Partner identifier datatype: String - name: project_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_id description: Services project identifier; null on costs not attributable to a project datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"event","cel":"Cost_Event"}' - name: contract_event source: gasp.contract_event description: "Contract event. Kind: event. CEL class: Contract_Event." primary_key: - event_id fields: - name: acv expression: dialects: - dialect: OSSIE_SQL_2026 expression: acv description: Annual contract value, recurring only datatype: Decimal - name: contract_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: contract_end description: Contract end date datatype: Date - name: contract_event_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: contract_event_type description: Contract milestone (CEL Contract_Event.event_type) datatype: String ai_context: instructions: One of new_contract, renewal, amendment, cancellation - name: contract_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: contract_start description: Contract start date datatype: Date - name: currency expression: dialects: - dialect: OSSIE_SQL_2026 expression: currency description: ISO 4217 currency code datatype: String - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: event_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_date dimension: is_time: true description: Date the event occurred datatype: Date - name: event_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_id description: Unique, immutable event identifier datatype: String - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. datatype: String - name: subscription_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: subscription_id description: Subscription identifier datatype: String - name: tcv expression: dialects: - dialect: OSSIE_SQL_2026 expression: tcv description: Total contract value datatype: Decimal custom_extensions: - vendor_name: GASP data: '{"kind":"event","cel":"Contract_Event"}' - name: amendment_event source: gasp.amendment_event description: "Amendment event. Kind: event. CEL class: Amendment_Event." primary_key: - event_id fields: - name: amendment_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: amendment_type description: Mid-term change kind (CEL, extended with cross_sell) datatype: String ai_context: instructions: One of upgrade, downgrade, add_on, cross_sell, seat_change, pricing_change - name: change_nature expression: dialects: - dialect: OSSIE_SQL_2026 expression: change_nature description: permanent, temporary or scheduled_reversal (Adjusted NRR/GRR) datatype: String ai_context: instructions: One of permanent, temporary, scheduled_reversal - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: event_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_date dimension: is_time: true description: Date the event occurred datatype: Date - name: event_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_id description: Unique, immutable event identifier datatype: String - name: expansion_classification expression: dialects: - dialect: OSSIE_SQL_2026 expression: expansion_classification description: ATL expansion tag; required for NRR-M and ARR-M datatype: String ai_context: instructions: One of same_product, new_module, new_buying_centre, pricing_adjustment, recontracting, usage_realisation - name: lifecycle_attribution expression: dialects: - dialect: OSSIE_SQL_2026 expression: lifecycle_attribution description: ATL lifecycle tag datatype: String ai_context: instructions: One of acquisition, activation, retention, expansion, reactivation, servicing - name: mrr_change expression: dialects: - dialect: OSSIE_SQL_2026 expression: mrr_change description: Change in MRR; negative for contraction and churn datatype: Decimal - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. datatype: String - name: subscription_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: subscription_id description: Subscription identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"event","cel":"Amendment_Event"}' - name: lifecycle_event source: gasp.lifecycle_event description: "Lifecycle state change. Kind: event. CEL class: Lifecycle_State_Change." primary_key: - event_id fields: - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: event_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_date dimension: is_time: true description: Date the event occurred datatype: Date - name: event_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_id description: Unique, immutable event identifier datatype: String - name: new_state expression: dialects: - dialect: OSSIE_SQL_2026 expression: new_state description: New lifecycle state datatype: String - name: prior_state expression: dialects: - dialect: OSSIE_SQL_2026 expression: prior_state description: Previous lifecycle state datatype: String - name: state_category expression: dialects: - dialect: OSSIE_SQL_2026 expression: state_category description: Lifecycle state after the change (CEL) datatype: String ai_context: instructions: One of activation, onboarding_complete, healthy, at_risk, churned, reactivated custom_extensions: - vendor_name: GASP data: '{"kind":"event","cel":"Lifecycle_State_Change"}' - name: trial source: gasp.trial description: "Trial. Kind: fact." primary_key: - trial_id - trial_end_date fields: - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: trial_end_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: trial_end_date dimension: is_time: true description: "Date the trial ended: the conversion date, the expiry date or the day it was cancelled" datatype: Date - name: trial_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: trial_id description: Trial identifier datatype: String - name: trial_start_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: trial_start_date description: Date the trial started datatype: Date - name: trial_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: trial_status description: "Outcome of the trial: active while it runs, then converted, expired or cancelled" datatype: String ai_context: instructions: One of active, converted, expired, cancelled custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: customer source: gasp.customer description: "Customer. Kind: snapshot." primary_key: - customer_id - snapshot_date fields: - name: acquisition_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: acquisition_date description: Date the customer first became paying datatype: Date - name: activation_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: activation_date description: Date the activation milestone was reached datatype: Date - name: composite_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: composite_score description: Health score on a 0 to 100 scale datatype: Decimal - name: criteria_met expression: dialects: - dialect: OSSIE_SQL_2026 expression: criteria_met description: Product-qualified criteria met datatype: Boolean - name: csm_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: csm_id description: Assigned customer success manager datatype: String - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: customer_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_status description: Customer lifecycle status; active means at least one active subscription datatype: String ai_context: instructions: One of trial, active, churned, dormant - name: last_active_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: last_active_date description: Most recent qualifying activity datatype: Date - name: onboarding_completion_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_completion_date description: Onboarding completion; null while open datatype: Date - name: qbr_completed expression: dialects: - dialect: OSSIE_SQL_2026 expression: qbr_completed description: A QBR was held in the period datatype: Boolean - name: qbr_due expression: dialects: - dialect: OSSIE_SQL_2026 expression: qbr_due description: A QBR was due in the period datatype: Boolean - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: upgrade_eligible expression: dialects: - dialect: OSSIE_SQL_2026 expression: upgrade_eligible description: Customer is on a plan with an upgrade path datatype: Boolean custom_extensions: - vendor_name: GASP data: "{\"kind\":\"snapshot\",\"activeWhen\":\"field.customer_status = 'active'\"}" - name: contact source: gasp.contact description: "Contact. Kind: snapshot." primary_key: - contact_id - snapshot_date fields: - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: contact_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: contact_id description: "Contact identifier: a named person at a customer account" datatype: String - name: contact_role expression: dialects: - dialect: OSSIE_SQL_2026 expression: contact_role description: The contact's role in the account relationship datatype: String ai_context: instructions: One of executive_sponsor, decision_maker, champion, day_to_day, procurement, other - name: contact_engaged expression: dialects: - dialect: OSSIE_SQL_2026 expression: contact_engaged description: The contact had recorded activity (meeting, email, call, QBR) in the trailing 90 days datatype: Boolean - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: plan source: gasp.plan description: "Plan. Kind: snapshot." primary_key: - plan_id - snapshot_date fields: - name: plan_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: plan_id description: Pricing plan identifier; the plan a subscription is priced by datatype: String - name: plan_name expression: dialects: - dialect: OSSIE_SQL_2026 expression: plan_name description: Plan display name (Starter, Pro, Enterprise) datatype: String - name: billing_period expression: dialects: - dialect: OSSIE_SQL_2026 expression: billing_period description: How often the plan bills datatype: String ai_context: instructions: One of monthly, annual, multi_year - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: product source: gasp.product description: "Product. Kind: snapshot." primary_key: - product_id - snapshot_date fields: - name: product_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: product_id description: Product identifier; the purchasable unit a license grants access to datatype: String - name: product_name expression: dialects: - dialect: OSSIE_SQL_2026 expression: product_name description: Product display name datatype: String - name: product_line expression: dialects: - dialect: OSSIE_SQL_2026 expression: product_line description: Product family the product belongs to datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: license source: gasp.license description: "License. Kind: snapshot." primary_key: - license_id - snapshot_date fields: - name: product_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: product_id description: Product identifier; the purchasable unit a license grants access to datatype: String - name: license_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: license_id description: "License identifier: one entitlement a subscription grants" datatype: String - name: license_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: license_status description: Whether the license currently grants access datatype: String ai_context: instructions: One of active, suspended, expired - name: seats_purchased expression: dialects: - dialect: OSSIE_SQL_2026 expression: seats_purchased description: Seats the license entitles the customer to datatype: Integer - name: seats_assigned expression: dialects: - dialect: OSSIE_SQL_2026 expression: seats_assigned description: Seats assigned to a named user datatype: Integer - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: subscription_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: subscription_id description: Subscription identifier datatype: String custom_extensions: - vendor_name: GASP data: "{\"kind\":\"snapshot\",\"activeWhen\":\"field.license_status = 'active'\"}" - name: subscription source: gasp.subscription description: "Subscription. Kind: snapshot." primary_key: - subscription_id - snapshot_date fields: - name: auto_renewed expression: dialects: - dialect: OSSIE_SQL_2026 expression: auto_renewed description: Renewal happened without manual intervention datatype: Boolean - name: contract_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: contract_end description: Contract end date datatype: Date - name: contract_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: contract_start description: Contract start date datatype: Date - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: forecast_renewal_amount expression: dialects: - dialect: OSSIE_SQL_2026 expression: forecast_renewal_amount description: Forecast renewal value datatype: Decimal - name: plan_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: plan_id description: Pricing plan identifier; the plan a subscription is priced by datatype: String - name: mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: mrr description: Monthly recurring revenue of the subscription datatype: Decimal - name: mrr_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: mrr_end description: MRR at period end (cohort form) datatype: Decimal - name: mrr_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: mrr_start description: MRR at period start (cohort form) datatype: Decimal - name: renewal_amount expression: dialects: - dialect: OSSIE_SQL_2026 expression: renewal_amount description: Value up for renewal datatype: Decimal - name: renewal_complete_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: renewal_complete_date description: Date renewal processing finished datatype: Date - name: renewal_notified_on_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: renewal_notified_on_time description: Renewal notice sent within the agreed window datatype: Boolean - name: renewal_trigger_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: renewal_trigger_date description: Date renewal processing started datatype: Date - name: renewed expression: dialects: - dialect: OSSIE_SQL_2026 expression: renewed description: Renewed at the most recent term end datatype: Boolean - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: subscription_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: subscription_id description: Subscription identifier datatype: String - name: subscription_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: subscription_status description: Subscription status datatype: String ai_context: instructions: One of active, cancelled, expired, paused custom_extensions: - vendor_name: GASP data: "{\"kind\":\"snapshot\",\"activeWhen\":\"field.subscription_status = 'active'\"}" - name: opportunity source: gasp.opportunity description: "Opportunity. Kind: snapshot." primary_key: - opportunity_id - snapshot_date fields: - name: advanced_to_next_stage expression: dialects: - dialect: OSSIE_SQL_2026 expression: advanced_to_next_stage description: Advanced one stage in the period datatype: Boolean - name: channel expression: dialects: - dialect: OSSIE_SQL_2026 expression: channel description: "Marketing channel: the channel a campaign runs in, and the first-touch channel of an opportunity" datatype: String ai_context: instructions: One of paid_ads, organic_search, email, events, content, referral, marketplace, direct, other - name: close_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: close_date description: Actual or expected close date of the opportunity; on a project or registration, the close date of the won deal datatype: Date - name: close_date_valid expression: dialects: - dialect: OSSIE_SQL_2026 expression: close_date_valid description: Close date is in the future or matches the actual close datatype: Boolean - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: forecast_category expression: dialects: - dialect: OSSIE_SQL_2026 expression: forecast_category description: Forecast category datatype: String ai_context: instructions: One of pipeline, best_case, commit, closed - name: includes_services expression: dialects: - dialect: OSSIE_SQL_2026 expression: includes_services description: Deal includes professional services datatype: Boolean - name: lead_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_id description: Lead identifier datatype: String - name: marketing_influenced expression: dialects: - dialect: OSSIE_SQL_2026 expression: marketing_influenced description: A marketing touch exists on the opportunity datatype: Boolean - name: marketing_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: marketing_source description: Team that sourced the opportunity datatype: String ai_context: instructions: One of marketing, sales, partner, other - name: opportunity_amount expression: dialects: - dialect: OSSIE_SQL_2026 expression: opportunity_amount description: Opportunity value (recurring) datatype: Decimal - name: opportunity_created_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: opportunity_created_date description: Date the opportunity was created datatype: Date - name: opportunity_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: opportunity_id description: Opportunity (deal) identifier datatype: String - name: opportunity_stage expression: dialects: - dialect: OSSIE_SQL_2026 expression: opportunity_stage description: Sales stage of an opportunity, or of a partner's registered deal datatype: String ai_context: instructions: One of qualification, discovery, proposal, negotiation, closed_won, closed_lost - name: partner_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_id description: Partner identifier datatype: String - name: partner_sourced expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_sourced description: Sourced by a partner datatype: Boolean - name: rep_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: rep_id description: Sales rep identifier datatype: String - name: required_fields_complete expression: dialects: - dialect: OSSIE_SQL_2026 expression: required_fields_complete description: All required CRM fields populated datatype: Boolean - name: revenue_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: revenue_type description: Revenue line type datatype: String ai_context: instructions: One of subscription, services, usage, other - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: stage_accurate expression: dialects: - dialect: OSSIE_SQL_2026 expression: stage_accurate description: Stage matches observed activity datatype: Boolean - name: stage_probability expression: dialects: - dialect: OSSIE_SQL_2026 expression: stage_probability description: Win probability for the stage, 0 to 1 datatype: Decimal - name: updated_within_sla expression: dialects: - dialect: OSSIE_SQL_2026 expression: updated_within_sla description: Updated inside the hygiene SLA datatype: Boolean custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: lead source: gasp.lead description: "Lead. Kind: snapshot." primary_key: - lead_id - snapshot_date fields: - name: lead_created_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_created_date description: Date the lead was created datatype: Date - name: lead_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_id description: Lead identifier datatype: String - name: lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_source description: Lead source datatype: String - name: lead_stage expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_stage description: Lead funnel stage datatype: String ai_context: instructions: One of lead, mql, sql, opportunity, disqualified - name: mql_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: mql_date description: Date the lead became an MQL datatype: Date - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: sql_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: sql_date description: Date the lead was accepted by sales datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: user source: gasp.user description: "User. Kind: snapshot." primary_key: - user_id - snapshot_date fields: - name: activation_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: activation_date description: Date the activation milestone was reached datatype: Date - name: core_features_adopted expression: dialects: - dialect: OSSIE_SQL_2026 expression: core_features_adopted description: User has adopted the defined core feature set datatype: Boolean - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: first_use_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: first_use_date description: First use of the feature datatype: Date - name: last_active_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: last_active_date description: Most recent qualifying activity datatype: Date - name: signup_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: signup_date description: User signup date datatype: Date - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: user_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: user_id description: Product user identifier datatype: String - name: user_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: user_status description: User activity status datatype: String ai_context: instructions: One of active, dormant, deactivated custom_extensions: - vendor_name: GASP data: "{\"kind\":\"snapshot\",\"activeWhen\":\"field.user_status = 'active'\"}" - name: employee source: gasp.employee description: "Employee. Kind: snapshot." primary_key: - employee_id - snapshot_date fields: - name: department expression: dialects: - dialect: OSSIE_SQL_2026 expression: department description: Department datatype: String - name: employee_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: employee_id description: Employee identifier datatype: String - name: employee_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: employee_status description: Employment status datatype: String ai_context: instructions: One of active, on_leave, terminated - name: application_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: application_date description: Date the hired employee applied; the start of Time to Hire datatype: Date - name: hire_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: hire_date description: Employment start date datatype: Date - name: hire_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: hire_source description: Recruiting channel the employee was hired through datatype: String ai_context: instructions: One of referral, inbound, sourced, agency, internal, campus, other - name: is_high_performer expression: dialects: - dialect: OSSIE_SQL_2026 expression: is_high_performer description: Rated high performer datatype: Boolean - name: job_level expression: dialects: - dialect: OSSIE_SQL_2026 expression: job_level description: Seniority level datatype: String ai_context: instructions: One of individual_contributor, manager, director, vp, c_level - name: market_midpoint expression: dialects: - dialect: OSSIE_SQL_2026 expression: market_midpoint description: Market midpoint for the role datatype: Decimal - name: performance_rating expression: dialects: - dialect: OSSIE_SQL_2026 expression: performance_rating description: Most recent performance rating datatype: Decimal - name: salary expression: dialects: - dialect: OSSIE_SQL_2026 expression: salary description: Base salary datatype: Decimal - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: termination_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: termination_date description: Employment end date datatype: Date - name: termination_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: termination_type description: Voluntary or involuntary datatype: String ai_context: instructions: One of voluntary, involuntary - name: underrepresented_group expression: dialects: - dialect: OSSIE_SQL_2026 expression: underrepresented_group description: Self-identified member of an underrepresented group datatype: Boolean custom_extensions: - vendor_name: GASP data: "{\"kind\":\"snapshot\",\"activeWhen\":\"field.employee_status = 'active'\"}" - name: partner source: gasp.partner description: "Partner. Kind: snapshot." primary_key: - partner_id - snapshot_date fields: - name: certification_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: certification_status description: Certification state datatype: String ai_context: instructions: One of none, in_progress, certified, expired - name: partner_churn_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_churn_date description: Date the partner left the programme datatype: Date - name: partner_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_id description: Partner identifier datatype: String - name: partner_recruited_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_recruited_date description: Date the partner signed datatype: Date - name: partner_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_status description: Partner lifecycle status datatype: String ai_context: instructions: One of recruited, active, churned - name: partner_tier expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_tier description: Partner programme tier datatype: String ai_context: instructions: One of registered, silver, gold, platinum - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: training_completed expression: dialects: - dialect: OSSIE_SQL_2026 expression: training_completed description: Required training completed datatype: Boolean custom_extensions: - vendor_name: GASP data: "{\"kind\":\"snapshot\",\"activeWhen\":\"field.partner_status = 'active'\"}" - name: project source: gasp.project description: "Project. Kind: snapshot." primary_key: - project_id - snapshot_date fields: - name: close_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: close_date description: Actual or expected close date of the opportunity; on a project or registration, the close date of the won deal datatype: Date - name: consultant_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: consultant_id description: Consultant identifier datatype: String - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: escalated expression: dialects: - dialect: OSSIE_SQL_2026 expression: escalated description: Escalated beyond first line datatype: Boolean - name: hours_actual expression: dialects: - dialect: OSSIE_SQL_2026 expression: hours_actual description: Actual hours datatype: Decimal - name: hours_budgeted expression: dialects: - dialect: OSSIE_SQL_2026 expression: hours_budgeted description: Budgeted hours datatype: Decimal - name: project_completion_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_completion_date description: Project completion; null while open datatype: Date - name: project_cost expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_cost description: Delivery cost of the project datatype: Decimal - name: project_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_id description: Services project identifier; null on costs not attributable to a project datatype: String - name: project_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_revenue description: Revenue recognised on the project datatype: Decimal - name: project_start_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_start_date description: Project start datatype: Date - name: referenceable expression: dialects: - dialect: OSSIE_SQL_2026 expression: referenceable description: Customer agreed to be a reference datatype: Boolean - name: scope_changed expression: dialects: - dialect: OSSIE_SQL_2026 expression: scope_changed description: Scope changed after kickoff datatype: Boolean - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: target_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: target_date description: Committed completion date datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: invoice source: gasp.invoice description: "Invoice. Kind: snapshot." primary_key: - invoice_id - snapshot_date fields: - name: billing_trigger_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: billing_trigger_date description: Date the billing event occurred datatype: Date - name: credit_memo_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: credit_memo_count description: Credit memos issued against the invoice datatype: Integer - name: currency expression: dialects: - dialect: OSSIE_SQL_2026 expression: currency description: ISO 4217 currency code datatype: String - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: invoice_amount expression: dialects: - dialect: OSSIE_SQL_2026 expression: invoice_amount description: Invoiced amount datatype: Decimal - name: invoice_corrected expression: dialects: - dialect: OSSIE_SQL_2026 expression: invoice_corrected description: Corrected after issue datatype: Boolean - name: invoice_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: invoice_date description: Invoice date datatype: Date - name: invoice_disputed expression: dialects: - dialect: OSSIE_SQL_2026 expression: invoice_disputed description: Disputed by the customer datatype: Boolean - name: invoice_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: invoice_id description: Invoice identifier datatype: String - name: outstanding_amount expression: dialects: - dialect: OSSIE_SQL_2026 expression: outstanding_amount description: Unpaid balance as of snapshot_date datatype: Decimal - name: payment_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: payment_date description: Date paid in full; null while unpaid datatype: Date - name: payment_method expression: dialects: - dialect: OSSIE_SQL_2026 expression: payment_method description: Payment method datatype: String ai_context: instructions: One of credit_card, ach, wire, check, other - name: payment_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: payment_status description: Payment status datatype: String ai_context: instructions: One of paid, unpaid, partial, written_off - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: campaign source: gasp.campaign description: "Campaign spend. Kind: fact." primary_key: - campaign_id - period_start fields: - name: ad_spend expression: dialects: - dialect: OSSIE_SQL_2026 expression: ad_spend description: Media spend in the period datatype: Decimal - name: campaign_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: campaign_id description: Campaign identifier datatype: String - name: channel expression: dialects: - dialect: OSSIE_SQL_2026 expression: channel description: "Marketing channel: the channel a campaign runs in, and the first-touch channel of an opportunity" datatype: String ai_context: instructions: One of paid_ads, organic_search, email, events, content, referral, marketplace, direct, other - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: sales_rep source: gasp.sales_rep description: "Sales rep period. Kind: fact." primary_key: - rep_id - period_start fields: - name: closed_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: closed_revenue description: Closed-won value credited to the rep in the period datatype: Decimal - name: hire_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: hire_date description: Employment start date datatype: Date - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date - name: quota expression: dialects: - dialect: OSSIE_SQL_2026 expression: quota description: Quota for the period datatype: Decimal - name: ramped_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: ramped_date description: Date the rep first hit sustained quota datatype: Date - name: rep_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: rep_id description: Sales rep identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: consultant source: gasp.consultant description: "Consultant capacity. Kind: fact." primary_key: - consultant_id - period_start fields: - name: available_hours expression: dialects: - dialect: OSSIE_SQL_2026 expression: available_hours description: Capacity hours in the period datatype: Decimal - name: consultant_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: consultant_id description: Consultant identifier datatype: String - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: ticket source: gasp.ticket description: "Support ticket. Kind: event." primary_key: - ticket_id fields: - name: agent_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: agent_id description: Handling agent datatype: String - name: created_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: created_at dimension: is_time: true description: Creation time datatype: DateTime - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: escalated expression: dialects: - dialect: OSSIE_SQL_2026 expression: escalated description: Escalated beyond first line datatype: Boolean - name: first_response_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: first_response_at description: First agent response time datatype: DateTime - name: first_response_due_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: first_response_due_at description: First response SLA deadline datatype: DateTime - name: reopened expression: dialects: - dialect: OSSIE_SQL_2026 expression: reopened description: Reopened after resolution datatype: Boolean - name: resolution_due_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: resolution_due_at description: Resolution SLA deadline datatype: DateTime - name: resolved_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: resolved_at description: Resolution time datatype: DateTime - name: resolved_first_contact expression: dialects: - dialect: OSSIE_SQL_2026 expression: resolved_first_contact description: Resolved in the first interaction datatype: Boolean - name: ticket_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: ticket_id description: Ticket identifier datatype: String - name: ticket_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: ticket_status description: Ticket status datatype: String ai_context: instructions: One of open, pending, resolved, closed - name: ticket_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: ticket_type description: Ticket category the agent or the help desk assigns datatype: String ai_context: instructions: One of how_to, bug, billing, account, feature_request, other custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: product_event source: gasp.product_event description: "Product usage event. Kind: event." primary_key: - event_id fields: - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: event_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_date dimension: is_time: true description: Date the event occurred datatype: Date - name: event_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: event_id description: Unique, immutable event identifier datatype: String - name: feature_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: feature_id description: Feature identifier datatype: String - name: product_event_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: product_event_type description: Kind of product event; qualifying events define active use datatype: String ai_context: instructions: One of qualifying, action, error, reactivation, login - name: session_duration expression: dialects: - dialect: OSSIE_SQL_2026 expression: session_duration description: Session length in minutes datatype: Integer - name: session_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: session_id description: Session identifier datatype: String - name: signup_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: signup_date description: User signup date datatype: Date - name: usage_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: usage_count description: Actions in the event or session datatype: Integer - name: user_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: user_id description: Product user identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: survey_response source: gasp.survey_response description: "Survey response. Kind: event." primary_key: - response_id fields: - name: ces_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: ces_score description: 1 to 7 effort score datatype: Integer - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: employee_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: employee_id description: Employee identifier datatype: String - name: engagement_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: engagement_score description: Engagement survey score datatype: Decimal - name: lead_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_id description: Lead identifier datatype: String - name: nps_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: nps_score description: 0 to 10 recommend score datatype: Integer - name: partner_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_id description: Partner identifier datatype: String - name: project_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_id description: Services project identifier; null on costs not attributable to a project datatype: String - name: response_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: response_id description: Survey response identifier datatype: String - name: satisfaction_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: satisfaction_score description: 1 to 5 satisfaction score datatype: Integer - name: survey_completed expression: dialects: - dialect: OSSIE_SQL_2026 expression: survey_completed description: Response completed datatype: Boolean - name: survey_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: survey_date dimension: is_time: true description: Response date datatype: Date - name: survey_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: survey_type description: Survey programme the response belongs to datatype: String ai_context: instructions: One of customer, onboarding, project, partner, employee, prospect custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: kb_article source: gasp.kb_article description: "Knowledge base article. Kind: fact." primary_key: - article_id - period_start fields: - name: article_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: article_id description: Knowledge base article identifier datatype: String - name: deflections expression: dialects: - dialect: OSSIE_SQL_2026 expression: deflections description: Sessions resolved without a ticket datatype: Integer - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: requisition source: gasp.requisition description: "Job requisition. Kind: snapshot." primary_key: - requisition_id - snapshot_date fields: - name: filled_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: filled_date description: Date the requisition was filled datatype: Date - name: hire_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: hire_date description: Employment start date datatype: Date - name: offer_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: offer_status description: Status of the latest offer datatype: String ai_context: instructions: One of extended, accepted, declined, withdrawn - name: requisition_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: requisition_id description: Requisition identifier datatype: String - name: requisition_opened_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: requisition_opened_date description: Date the requisition opened datatype: Date - name: requisition_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: requisition_status description: Requisition status datatype: String ai_context: instructions: One of open, filled, closed - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: incident source: gasp.incident description: "Incident. Kind: event." primary_key: - incident_id fields: - name: acknowledged_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: acknowledged_at description: Acknowledgement time datatype: DateTime - name: detected_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: detected_at description: Detection time datatype: DateTime - name: incident_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: incident_id description: Incident identifier datatype: String - name: incident_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: incident_type description: Incident category datatype: String ai_context: instructions: One of availability, performance, security, data - name: recovery_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: recovery_time description: Minutes from start to service restored datatype: Integer - name: resolved_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: resolved_at description: Resolution time datatype: DateTime - name: severity expression: dialects: - dialect: OSSIE_SQL_2026 expression: severity description: Incident severity datatype: String ai_context: instructions: One of sev1, sev2, sev3, sev4 - name: started_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: started_at dimension: is_time: true description: Incident start time datatype: DateTime custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: deployment source: gasp.deployment description: "Deployment. Kind: event." primary_key: - deployment_id fields: - name: committed_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: committed_at description: First commit time of the change datatype: DateTime - name: deploy_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: deploy_date dimension: is_time: true description: Deployment time datatype: DateTime - name: deployment_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: deployment_id description: Deployment identifier datatype: String - name: incident_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: incident_id description: Incident identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: vulnerability source: gasp.vulnerability description: "Vulnerability. Kind: snapshot." primary_key: - vulnerability_id - snapshot_date fields: - name: discovered_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: discovered_at description: Discovery time datatype: DateTime - name: patched_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: patched_at description: Patch time datatype: DateTime - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: vulnerability_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: vulnerability_id description: Vulnerability identifier datatype: String - name: vulnerability_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: vulnerability_status description: Vulnerability status datatype: String ai_context: instructions: One of open, patched, accepted custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: service_metrics source: gasp.service_metrics description: "Service reliability. Kind: fact." primary_key: - service_id - period_start fields: - name: downtime_minutes expression: dialects: - dialect: OSSIE_SQL_2026 expression: downtime_minutes description: Minutes unavailable in the period datatype: Integer - name: error_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: error_count description: Failed requests datatype: Integer - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date - name: request_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: request_count description: Total requests datatype: Integer - name: response_time_ms expression: dialects: - dialect: OSSIE_SQL_2026 expression: response_time_ms description: Response time per request sample datatype: Integer - name: service_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: service_id description: Service identifier datatype: String - name: sla_met expression: dialects: - dialect: OSSIE_SQL_2026 expression: sla_met description: SLA met for the period row datatype: Boolean - name: utilization expression: dialects: - dialect: OSSIE_SQL_2026 expression: utilization description: Resource utilisation, 0 to 1 datatype: Decimal custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: issue source: gasp.issue description: "Issue (bug or request). Kind: event." primary_key: - issue_id fields: - name: created_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: created_at dimension: is_time: true description: Creation time datatype: DateTime - name: issue_environment expression: dialects: - dialect: OSSIE_SQL_2026 expression: issue_environment description: Where the issue was found datatype: String ai_context: instructions: One of production, pre_production - name: issue_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: issue_id description: Issue identifier datatype: String - name: issue_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: issue_source description: Who reported the issue datatype: String ai_context: instructions: One of user_report, internal, monitoring - name: issue_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: issue_type description: Issue kind datatype: String ai_context: instructions: One of bug, feature_request, question, incident custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: feature source: gasp.feature description: "Feature. Kind: snapshot." primary_key: - feature_id - snapshot_date fields: - name: actual_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: actual_date description: Actual delivery date datatype: Date - name: feature_created_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: feature_created_date description: Date the feature was first specified datatype: Date - name: feature_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: feature_id description: Feature identifier datatype: String - name: first_use_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: first_use_date description: First use of the feature datatype: Date - name: planned_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: planned_date description: Planned delivery date datatype: Date - name: release_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: release_date description: Release date datatype: Date - name: release_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: release_id description: Release identifier datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: release source: gasp.release description: "Release. Kind: event." primary_key: - release_id fields: - name: release_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: release_date dimension: is_time: true description: Release date datatype: Date - name: release_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: release_id description: Release identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: roadmap_item source: gasp.roadmap_item description: "Roadmap item. Kind: snapshot." primary_key: - roadmap_item_id - snapshot_date fields: - name: roadmap_item_completed expression: dialects: - dialect: OSSIE_SQL_2026 expression: roadmap_item_completed description: Roadmap item delivered datatype: Boolean - name: roadmap_item_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: roadmap_item_id description: Roadmap item identifier datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: project_milestone source: gasp.project_milestone description: "Project milestone. Kind: snapshot." primary_key: - project_milestone_id - snapshot_date fields: - name: actual_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: actual_date description: Actual delivery date datatype: Date - name: planned_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: planned_date description: Planned delivery date datatype: Date - name: project_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_id description: Services project identifier; null on costs not attributable to a project datatype: String - name: project_milestone_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_milestone_id description: Project milestone identifier datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: time_entry source: gasp.time_entry description: "Time entry. Kind: event." primary_key: - entry_id fields: - name: billed_hours expression: dialects: - dialect: OSSIE_SQL_2026 expression: billed_hours description: Hours billed to the customer datatype: Decimal - name: billed_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: billed_revenue description: Revenue billed for the entry datatype: Decimal - name: consultant_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: consultant_id description: Consultant identifier datatype: String - name: entry_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: entry_date dimension: is_time: true description: Time entry date datatype: Date - name: entry_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: entry_id description: Time entry identifier datatype: String - name: hours expression: dialects: - dialect: OSSIE_SQL_2026 expression: hours description: Hours logged datatype: Decimal - name: project_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_id description: Services project identifier; null on costs not attributable to a project datatype: String - name: standard_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: standard_rate description: Standard hourly rate datatype: Decimal - name: time_entry_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: time_entry_type description: Billable or non-billable category datatype: String ai_context: instructions: One of billable, training, pre_sales, internal - name: written_off_hours expression: dialects: - dialect: OSSIE_SQL_2026 expression: written_off_hours description: Hours written off datatype: Decimal custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: deliverable source: gasp.deliverable description: "Deliverable. Kind: snapshot." primary_key: - deliverable_id - snapshot_date fields: - name: deliverable_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: deliverable_id description: Deliverable identifier datatype: String - name: project_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: project_id description: Services project identifier; null on costs not attributable to a project datatype: String - name: reworked expression: dialects: - dialect: OSSIE_SQL_2026 expression: reworked description: Deliverable required rework datatype: Boolean - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: onboarding source: gasp.onboarding description: "Onboarding engagement. Kind: snapshot." primary_key: - onboarding_id - snapshot_date fields: - name: contract_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: contract_start description: Contract start date datatype: Date - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: hours expression: dialects: - dialect: OSSIE_SQL_2026 expression: hours description: Hours logged datatype: Decimal - name: onboarding_completion_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_completion_date description: Onboarding completion; null while open datatype: Date - name: onboarding_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_id description: Onboarding engagement identifier datatype: String - name: onboarding_start_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_start_date description: Onboarding kickoff date datatype: Date - name: resource_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: resource_id description: Onboarding specialist datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: steps_completed expression: dialects: - dialect: OSSIE_SQL_2026 expression: steps_completed description: Onboarding tasks completed datatype: Integer - name: steps_total expression: dialects: - dialect: OSSIE_SQL_2026 expression: steps_total description: Onboarding tasks assigned datatype: Integer - name: target_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: target_date description: Committed completion date datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: onboarding_milestone source: gasp.onboarding_milestone description: "Onboarding milestone. Kind: event." primary_key: - onboarding_id fields: - name: contract_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: contract_start description: Contract start date datatype: Date - name: milestone_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: milestone_date dimension: is_time: true description: Date the milestone was reached datatype: Date - name: milestone_due_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: milestone_due_date description: Date the milestone is due under the onboarding plan. A planned milestone carries it before milestone_date is set datatype: Date - name: onboarding_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_id description: Onboarding engagement identifier datatype: String - name: onboarding_milestone expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_milestone description: Milestone reached datatype: String ai_context: instructions: One of kickoff, first_value, go_live, full_adoption custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: onboarding_session source: gasp.onboarding_session description: "Onboarding session. Kind: event." primary_key: - onboarding_id fields: - name: attendees expression: dialects: - dialect: OSSIE_SQL_2026 expression: attendees description: Customer attendees at the session datatype: Integer - name: onboarding_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_id description: Onboarding engagement identifier datatype: String - name: onboarding_session_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: onboarding_session_date dimension: is_time: true description: Scheduled session date datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: quote source: gasp.quote description: "Quote. Kind: snapshot." primary_key: - quote_id - snapshot_date fields: - name: list_price expression: dialects: - dialect: OSSIE_SQL_2026 expression: list_price description: List price of the quote datatype: Decimal - name: quote_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: quote_id description: Quote identifier datatype: String - name: quote_requested_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: quote_requested_at description: Quote requested datatype: DateTime - name: quote_sent_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: quote_sent_at description: Quote sent datatype: DateTime - name: quoted_price expression: dialects: - dialect: OSSIE_SQL_2026 expression: quoted_price description: Net price of the quote datatype: Decimal - name: revision_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: revision_count description: Revisions before acceptance datatype: Integer - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: order source: gasp.order description: "Order. Kind: snapshot." primary_key: - order_id - snapshot_date fields: - name: has_error expression: dialects: - dialect: OSSIE_SQL_2026 expression: has_error description: Order needed correction datatype: Boolean - name: order_completed_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: order_completed_at description: Order processed datatype: DateTime - name: order_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: order_id description: Order identifier datatype: String - name: order_received_at expression: dialects: - dialect: OSSIE_SQL_2026 expression: order_received_at description: Order received datatype: DateTime - name: quote_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: quote_id description: Quote identifier datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: revenue_schedule source: gasp.revenue_schedule description: "Revenue schedule. Kind: fact." primary_key: - subscription_id - period_start fields: - name: billed_amount expression: dialects: - dialect: OSSIE_SQL_2026 expression: billed_amount description: Amount billed for the subscription in the period datatype: Decimal - name: customer_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: customer_id description: Customer (account) identifier. Primary business noun; CEL name datatype: String - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date - name: recognition_correct expression: dialects: - dialect: OSSIE_SQL_2026 expression: recognition_correct description: Recognition matched policy on review datatype: Boolean - name: recognized_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: recognized_revenue description: Revenue recognised for the subscription in the period datatype: Decimal - name: subscription_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: subscription_id description: Subscription identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: financials source: gasp.financials description: "Income statement and cash flow. Kind: fact." primary_key: - period_start fields: - name: bad_debt_expense expression: dialects: - dialect: OSSIE_SQL_2026 expression: bad_debt_expense description: Bad debt written off in the period datatype: Decimal - name: capital_expenditures expression: dialects: - dialect: OSSIE_SQL_2026 expression: capital_expenditures description: Capital expenditure for the period datatype: Decimal - name: ebitda expression: dialects: - dialect: OSSIE_SQL_2026 expression: ebitda description: EBITDA for the period datatype: Decimal - name: net_income expression: dialects: - dialect: OSSIE_SQL_2026 expression: net_income description: Net income for the period datatype: Decimal - name: operating_cash_flow expression: dialects: - dialect: OSSIE_SQL_2026 expression: operating_cash_flow description: Operating cash flow for the period datatype: Decimal - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date - name: revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: revenue description: GAAP recognised revenue for the period datatype: Decimal - name: revenue_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: revenue_type description: Revenue line type datatype: String ai_context: instructions: One of subscription, services, usage, other custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: balance_sheet source: gasp.balance_sheet description: "Balance sheet. Kind: snapshot." primary_key: - snapshot_date fields: - name: accounts_receivable expression: dialects: - dialect: OSSIE_SQL_2026 expression: accounts_receivable description: Accounts receivable balance at period end datatype: Decimal - name: cash_balance expression: dialects: - dialect: OSSIE_SQL_2026 expression: cash_balance description: Cash and equivalents at period end datatype: Decimal - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: web_traffic source: gasp.web_traffic description: "Web traffic. Kind: fact." primary_key: - traffic_source - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date - name: traffic_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: traffic_source description: Traffic source datatype: String ai_context: instructions: One of organic_search, paid_search, paid_social, social, email, referral, direct, other - name: unique_visitors expression: dialects: - dialect: OSSIE_SQL_2026 expression: unique_visitors description: Unique visitors in the period datatype: Integer custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: brand_mention source: gasp.brand_mention description: "Brand mentions. Kind: fact." primary_key: - mention_source - period_start fields: - name: is_competitor expression: dialects: - dialect: OSSIE_SQL_2026 expression: is_competitor description: Mention is of a competitor datatype: Boolean - name: mention_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: mention_count description: Brand mentions in the period datatype: Integer - name: mention_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: mention_source description: Mention source datatype: String - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: crm_record source: gasp.crm_record description: "CRM record quality. Kind: snapshot." primary_key: - record_id - snapshot_date fields: - name: populated_field_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: populated_field_count description: Required fields populated datatype: Integer - name: record_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: record_id description: CRM record identifier datatype: String - name: required_field_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: required_field_count description: Required fields defined datatype: Integer - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date - name: sync_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: sync_status description: Cross-system match state datatype: String ai_context: instructions: One of matched, mismatched, missing custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: partner_activity source: gasp.partner_activity description: "Partner activity. Kind: event." primary_key: - activity_id fields: - name: activity_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: activity_date dimension: is_time: true description: Activity date datatype: Date - name: activity_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: activity_id description: Partner activity identifier datatype: String - name: partner_activity_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_activity_type description: Joint marketing activity kind datatype: String ai_context: instructions: One of webinar, event, content, campaign - name: partner_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_id description: Partner identifier datatype: String custom_extensions: - vendor_name: GASP data: '{"kind":"event"}' - name: deal_registration source: gasp.deal_registration description: "Partner deal registration. Kind: snapshot." primary_key: - registration_id - snapshot_date fields: - name: close_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: close_date description: Actual or expected close date of the opportunity; on a project or registration, the close date of the won deal datatype: Date - name: opportunity_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: opportunity_id description: Opportunity (deal) identifier datatype: String - name: opportunity_stage expression: dialects: - dialect: OSSIE_SQL_2026 expression: opportunity_stage description: Sales stage of an opportunity, or of a partner's registered deal datatype: String ai_context: instructions: One of qualification, discovery, proposal, negotiation, closed_won, closed_lost - name: partner_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_id description: Partner identifier datatype: String - name: registration_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: registration_date description: Date the deal was registered datatype: Date - name: registration_id expression: dialects: - dialect: OSSIE_SQL_2026 expression: registration_id description: Partner deal registration identifier datatype: String - name: snapshot_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: snapshot_date dimension: is_time: true description: As-of date of the snapshot row datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"snapshot"}' - name: forecast source: gasp.forecast description: "Revenue forecast. Kind: fact." primary_key: - period_start fields: - name: actual_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: actual_revenue description: Revenue actually closed in the period datatype: Decimal - name: forecasted_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: forecasted_revenue description: Revenue forecast made before the period datatype: Decimal - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true description: Start of the period the row describes datatype: Date custom_extensions: - vendor_name: GASP data: '{"kind":"fact"}' - name: gasp_staged_gasp_arr_o source: SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) - (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date > (p.period_end - INTERVAL '12 month') AND event_date <= p.period_end AND expansion_classification IN ('pricing_adjustment', 'recontracting') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) * 12)) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_arr_o: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort, window)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: ARR (Annual Recurring Revenue), Operating form for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_arr_o\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) - (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date > DATEADD(month, -12, p.period_end) AND event_date <= p.period_end AND expansion_classification IN ('pricing_adjustment', 'recontracting') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) * 12)) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) - (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 12 MONTH) AND event_date <= p.period_end AND expansion_classification IN ('pricing_adjustment', 'recontracting') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) * 12)) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) - (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date > DATEADD(MONTH, -12, p.period_end) AND event_date <= p.period_end AND expansion_classification IN ('pricing_adjustment', 'recontracting') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active'))) * 12)) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_mrr_growth_rate source: SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) - ((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = (p.period_end - INTERVAL '1 month') AND subscription_status = 'active'))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = (p.period_end - INTERVAL '1 month') AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_mrr_growth_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs lag)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: MRR Growth Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_mrr_growth_rate\",\"reason\":\"lag\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) - ((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(month, -1, p.period_end) AND subscription_status = 'active'))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(month, -1, p.period_end) AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) - ((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 MONTH) AND subscription_status = 'active'))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 MONTH) AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) - ((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(MONTH, -1, p.period_end) AND subscription_status = 'active'))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(MONTH, -1, p.period_end) AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_carry_mrr source: SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_carry_mrr: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Carry MRR for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_carry_mrr\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, (((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_nrr source: SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_nrr: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort, at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Net Revenue Retention (NRR) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_nrr\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_nrr_o source: SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type = 'expansion' AND expansion_classification IN ('same_product', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_nrr_o: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort, at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Net Revenue Retention (NRR), Operating form for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_nrr_o\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type = 'expansion' AND expansion_classification IN ('same_product', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type = 'expansion' AND expansion_classification IN ('same_product', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type = 'expansion' AND expansion_classification IN ('same_product', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_nrr_m source: SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'reactivation') AND expansion_classification IN ('same_product', 'new_module', 'new_buying_centre', 'pricing_adjustment', 'recontracting', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_nrr_m: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort, at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Net Revenue Retention (NRR), Market form for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_nrr_m\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'reactivation') AND expansion_classification IN ('same_product', 'new_module', 'new_buying_centre', 'pricing_adjustment', 'recontracting', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'reactivation') AND expansion_classification IN ('same_product', 'new_module', 'new_buying_centre', 'pricing_adjustment', 'recontracting', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'reactivation') AND expansion_classification IN ('same_product', 'new_module', 'new_buying_centre', 'pricing_adjustment', 'recontracting', 'usage_realisation')) AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_nrr_adjusted source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_nrr_adjusted: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Net Revenue Retention (NRR), adjusted variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_nrr_adjusted\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS DOUBLE) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS FLOAT64) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('expansion', 'contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS DOUBLE) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_nrr_by_segment source: SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d description: "Staged dataset for gasp_nrr_by_segment: one row per reporting period and segment value holding the metric value, computed by the GASP compiled query (needs cohort, at period_start)." primary_key: - period_start - segment fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment datatype: String description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Net Revenue Retention (NRR), by_segment breakdown for the period and segment custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_nrr_by_segment\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_grr source: SELECT p.period_start, p.period_end, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_grr: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort, at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Gross Revenue Retention (GRR) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_grr\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_grr_per_customer source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(LEAST(mrr_end, mrr_start)) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_grr_per_customer: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Gross Revenue Retention (GRR), per_customer variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_grr_per_customer\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(LEAST(mrr_end, mrr_start)) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) AS DOUBLE) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(LEAST(mrr_end, mrr_start)) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) AS FLOAT64) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(LEAST(mrr_end, mrr_start)) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) AS DOUBLE) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_grr_adjusted source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_grr_adjusted: one row per reporting period holding the metric value, computed by the GASP compiled query (needs cohort)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Gross Revenue Retention (GRR), adjusted variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_grr_adjusted\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS DOUBLE) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS FLOAT64) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')) + (SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (event_type IN ('contraction', 'churn') AND change_nature = 'permanent') AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) AS DOUBLE) / NULLIF((SELECT SUM(mrr_start) FROM gasp.subscription WHERE snapshot_date = p.period_end AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_grr_by_segment source: SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d description: "Staged dataset for gasp_grr_by_segment: one row per reporting period and segment value holding the metric value, computed by the GASP compiled query (needs cohort, at period_start)." primary_key: - period_start - segment fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment datatype: String description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Gross Revenue Retention (GRR), by_segment breakdown for the period and segment custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_grr_by_segment\",\"reason\":\"cohort\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment AND customer_id IN (SELECT customer_id FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.subscription WHERE segment IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_logo_churn_rate source: SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_logo_churn_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Logo Churn Rate (Customer Churn) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_logo_churn_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_logo_churn_rate_by_segment source: SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d description: "Staged dataset for gasp_logo_churn_rate_by_segment: one row per reporting period and segment value holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start - segment fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment datatype: String description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Logo Churn Rate (Customer Churn), by_segment breakdown for the period and segment custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_logo_churn_rate_by_segment\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_revenue_churn_rate source: SELECT p.period_start, p.period_end, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_revenue_churn_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Revenue Churn Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_revenue_churn_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_revenue_churn_rate_by_segment source: SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment)))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d description: "Staged dataset for gasp_revenue_churn_rate_by_segment: one row per reporting period and segment value holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start - segment fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment datatype: String description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Revenue Churn Rate, by_segment breakdown for the period and segment custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_revenue_churn_rate_by_segment\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment)))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment)))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction' AND segment = _d.segment)))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_cac_by_cost_centre source: SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm' AND cost_centre = _d.cost_centre) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d description: "Staged dataset for gasp_cac_by_cost_centre: one row per reporting period and cost_centre value holding the metric value, computed by the GASP compiled query (needs total)." primary_key: - period_start - cost_centre fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: cost_centre expression: dialects: - dialect: OSSIE_SQL_2026 expression: cost_centre datatype: String description: Department or team that incurred the cost - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: CAC (Customer Acquisition Cost), by_cost_centre breakdown for the period and cost_centre custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cac_by_cost_centre\",\"reason\":\"total\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm' AND cost_centre = _d.cost_centre) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm' AND cost_centre = _d.cost_centre) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm' AND cost_centre = _d.cost_centre) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d\"}}" - name: gasp_staged_gasp_ltv source: SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE PRECISION) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_ltv: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: LTV (Customer Lifetime Value) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ltv\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS FLOAT64) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS FLOAT64) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_ltv_o source: SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE PRECISION) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_ltv_o: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: LTV (Customer Lifetime Value), Operating form for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ltv_o\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS FLOAT64) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS FLOAT64) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_ltv_m source: SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE PRECISION) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_ltv_m: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: LTV (Customer Lifetime Value), Market form for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ltv_m\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS FLOAT64) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS FLOAT64) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_ltv_cac_ratio source: SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE PRECISION) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE PRECISION) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_ltv_cac_ratio: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: LTV:CAC Ratio for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ltv_cac_ratio\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS FLOAT64) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS FLOAT64) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS FLOAT64) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_ltv_cac_ratio_o source: SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE PRECISION) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE PRECISION) / NULLIF(((CAST(((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') + (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('implementation', 'onboarding'))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_ltv_cac_ratio_o: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: LTV:CAC Ratio, Operating form for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ltv_cac_ratio_o\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE) / NULLIF(((CAST(((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') + (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('implementation', 'onboarding'))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS FLOAT64) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS FLOAT64) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS FLOAT64) / NULLIF(((CAST(((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') + (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('implementation', 'onboarding'))) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST((((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding'))) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE) / NULLIF(((CAST(((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') + (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function IN ('implementation', 'onboarding'))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_ltv_cac_ratio_m source: SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE PRECISION) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE PRECISION) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_ltv_cac_ratio_m: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: LTV:CAC Ratio, Market form for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ltv_cac_ratio_m\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS FLOAT64) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS FLOAT64) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS FLOAT64) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST((((CAST(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active')), 0))) * ((CAST(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'infrastructure')) AS DOUBLE) / NULLIF((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end), 0)))) AS DOUBLE) / NULLIF(((CAST((((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn'))) + ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction')))) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))), 0))) AS DOUBLE) / NULLIF(((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'gtm') AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')), 0))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_rule_of_40 source: SELECT p.period_start, p.period_end, (((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = (p.period_end - INTERVAL '1 year') AND subscription_status = 'active')) * 12))) AS DOUBLE PRECISION) / NULLIF(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = (p.period_end - INTERVAL '1 year') AND subscription_status = 'active')) * 12)), 0)) + ((CAST((SELECT SUM(ebitda) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_rule_of_40: one row per reporting period holding the metric value, computed by the GASP compiled query (needs lag)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Rule of 40 for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_rule_of_40\",\"reason\":\"lag\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, (((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(year, -1, p.period_end) AND subscription_status = 'active')) * 12))) AS DOUBLE) / NULLIF(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(year, -1, p.period_end) AND subscription_status = 'active')) * 12)), 0)) + ((CAST((SELECT SUM(ebitda) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, (((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 YEAR) AND subscription_status = 'active')) * 12))) AS FLOAT64) / NULLIF(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 YEAR) AND subscription_status = 'active')) * 12)), 0)) + ((CAST((SELECT SUM(ebitda) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) AS FLOAT64) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, (((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(YEAR, -1, p.period_end) AND subscription_status = 'active')) * 12))) AS DOUBLE) / NULLIF(((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(YEAR, -1, p.period_end) AND subscription_status = 'active')) * 12)), 0)) + ((CAST((SELECT SUM(ebitda) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_tier_distribution source: SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_tier = _d.partner_tier) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d description: "Staged dataset for gasp_partner_tier_distribution: one row per reporting period and partner_tier value holding the metric value, computed by the GASP compiled query (needs total)." primary_key: - period_start - partner_tier fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: partner_tier expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_tier datatype: String description: Partner programme tier - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Tier Distribution for the period and partner_tier custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_tier_distribution\",\"reason\":\"total\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_tier = _d.partner_tier) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_tier = _d.partner_tier) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_tier = _d.partner_tier) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d\"}}" - name: gasp_staged_gasp_partner_activation_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND ((partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end) AND partner_status = 'active')) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_activation_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Activation Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_activation_rate\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND ((partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end) AND partner_status = 'active')) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND ((partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end) AND partner_status = 'active')) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND ((partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end) AND partner_status = 'active')) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_churn_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_churn_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Churn Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_churn_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_churn_rate_by_partner_tier source: SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end) AND partner_tier = _d.partner_tier) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active' AND partner_tier = _d.partner_tier), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d description: "Staged dataset for gasp_partner_churn_rate_by_partner_tier: one row per reporting period and partner_tier value holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start - partner_tier fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: partner_tier expression: dialects: - dialect: OSSIE_SQL_2026 expression: partner_tier datatype: String description: Partner programme tier - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Churn Rate, by_partner_tier breakdown for the period and partner_tier custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_churn_rate_by_partner_tier\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end) AND partner_tier = _d.partner_tier) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active' AND partner_tier = _d.partner_tier), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end) AND partner_tier = _d.partner_tier) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active' AND partner_tier = _d.partner_tier), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.partner_tier AS partner_tier, ((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end) AND partner_tier = _d.partner_tier) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active' AND partner_tier = _d.partner_tier), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'registered' AS partner_tier UNION ALL SELECT 'silver' AS partner_tier UNION ALL SELECT 'gold' AS partner_tier UNION ALL SELECT 'platinum' AS partner_tier) _d\"}}" - name: gasp_staged_gasp_partner_sourced_revenue source: SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_sourced_revenue: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner-Sourced Revenue for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_sourced_revenue\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_influenced_revenue source: SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_influenced_revenue: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner-Influenced Revenue for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_influenced_revenue\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_channel_revenue_percentage source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_channel_revenue_percentage: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Channel Revenue Percentage for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_channel_revenue_percentage\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS FLOAT64) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_revenue_growth source: SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = (p.period_end - INTERVAL '1 year') AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= (p.period_start - INTERVAL '1 year') AND close_date <= (p.period_end - INTERVAL '1 year')))))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = (p.period_end - INTERVAL '1 year') AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= (p.period_start - INTERVAL '1 year') AND close_date <= (p.period_end - INTERVAL '1 year'))))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_revenue_growth: one row per reporting period holding the metric value, computed by the GASP compiled query (needs lag, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Revenue Growth for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_revenue_growth\",\"reason\":\"lag\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = DATEADD(year, -1, p.period_end) AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= DATEADD(year, -1, p.period_start) AND close_date <= DATEADD(year, -1, p.period_end)))))) AS DOUBLE) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = DATEADD(year, -1, p.period_end) AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= DATEADD(year, -1, p.period_start) AND close_date <= DATEADD(year, -1, p.period_end))))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 YEAR) AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= DATE_SUB(p.period_start, INTERVAL 1 YEAR) AND close_date <= DATE_SUB(p.period_end, INTERVAL 1 YEAR)))))) AS FLOAT64) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 YEAR) AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= DATE_SUB(p.period_start, INTERVAL 1 YEAR) AND close_date <= DATE_SUB(p.period_end, INTERVAL 1 YEAR))))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = DATEADD(YEAR, -1, p.period_end) AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= DATEADD(YEAR, -1, p.period_start) AND close_date <= DATEADD(YEAR, -1, p.period_end)))))) AS DOUBLE) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = DATEADD(YEAR, -1, p.period_end) AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= DATEADD(YEAR, -1, p.period_start) AND close_date <= DATEADD(YEAR, -1, p.period_end))))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_average_partner_revenue source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_average_partner_revenue: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Average Partner Revenue for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_average_partner_revenue\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_deal_registration_volume source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_deal_registration_volume: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Deal Registration Volume for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_partner_deal_registration_volume","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_deal_registration_to_close_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_deal_registration_to_close_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Deal Registration-to-Close Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_deal_registration_to_close_rate\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT registration_id) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (registration_date >= p.period_start AND registration_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_win_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_win_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Win Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_win_rate\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_deal_size source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_deal_size: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Deal Size for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_deal_size\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_sales_cycle source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (close_date - registration_date)) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_sales_cycle: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Sales Cycle for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_sales_cycle\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, registration_date, close_date)) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(close_date, registration_date, DAY), 1000)[OFFSET(500)] FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(close_date, registration_date), 0.5) FROM gasp.deal_registration WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_margin_commission source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_commission') AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_margin_commission: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Margin / Commission for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_margin_commission\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_commission') AS DOUBLE) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_commission') AS FLOAT64) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_commission') AS DOUBLE) / NULLIF(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_cost_of_partner_acquisition source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cost_of_partner_acquisition: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cost of Partner Acquisition for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cost_of_partner_acquisition\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program') AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_recruited_date >= p.period_start AND partner_recruited_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_lifetime_value source: SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS DOUBLE PRECISION) / NULLIF(((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_lifetime_value: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner Lifetime Value for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_lifetime_value\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS DOUBLE) / NULLIF(((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS FLOAT64) / NULLIF(((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_id IS NOT NULL AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND partner_status = 'active')), 0))) AS DOUBLE) / NULLIF(((CAST((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_end AND (partner_churn_date >= p.period_start AND partner_churn_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM gasp.partner WHERE snapshot_date = p.period_start AND partner_status = 'active'), 0))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_partner_roi source: SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program')) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_partner_roi: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Partner ROI for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_partner_roi\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program')) AS DOUBLE) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program')) AS FLOAT64) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((partner_sourced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) - (SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program')) AS DOUBLE) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'partner_program'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_marketplace_revenue source: SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_marketplace_revenue: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Marketplace Revenue for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_marketplace_revenue\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_marketplace_as_of_revenue source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_marketplace_as_of_revenue: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Marketplace as % of Revenue for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_marketplace_as_of_revenue\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS FLOAT64) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'marketplace' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_pipeline_velocity source: SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND opportunity_stage NOT IN ('closed_won', 'closed_lost')) * ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) * ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS DOUBLE PRECISION) / NULLIF(((SELECT AVG((close_date - opportunity_created_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_pipeline_velocity: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Pipeline Velocity for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_pipeline_velocity\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND opportunity_stage NOT IN ('closed_won', 'closed_lost')) * ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) * ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS DOUBLE) / NULLIF(((SELECT AVG(DATEDIFF(day, opportunity_created_date, close_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND opportunity_stage NOT IN ('closed_won', 'closed_lost')) * ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) * ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS FLOAT64) / NULLIF(((SELECT AVG(DATE_DIFF(close_date, opportunity_created_date, DAY)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND opportunity_stage NOT IN ('closed_won', 'closed_lost')) * ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) * ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS DOUBLE) / NULLIF(((SELECT AVG(DATEDIFF(close_date, opportunity_created_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_win_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_win_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Win Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_win_rate\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_win_rate_by_channel source: SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d description: "Staged dataset for gasp_win_rate_by_channel: one row per reporting period and channel value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - channel fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: channel expression: dialects: - dialect: OSSIE_SQL_2026 expression: channel datatype: String description: "Marketing channel: the channel a campaign runs in, and the first-touch channel of an opportunity" - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Win Rate, by_channel breakdown for the period and channel custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_win_rate_by_channel\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d\"}}" - name: gasp_staged_gasp_lead_to_opportunity_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_lead_to_opportunity_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Lead-to-Opportunity Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_lead_to_opportunity_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_opportunity_to_close_rate source: SELECT p.period_start, p.period_end, (((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_opportunity_to_close_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Opportunity-to-Close Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_opportunity_to_close_rate\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, (((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, (((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, (((CAST((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage IN ('closed_won', 'closed_lost') AND (close_date >= p.period_start AND close_date <= p.period_end))), 0)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_average_deal_size source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_average_deal_size: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Average Deal Size for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_average_deal_size\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_sales_cycle source: SELECT p.period_start, p.period_end, ((SELECT AVG((close_date - opportunity_created_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_sales_cycle: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Sales Cycle Length for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_sales_cycle\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(day, opportunity_created_date, close_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT AVG(DATE_DIFF(close_date, opportunity_created_date, DAY)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(close_date, opportunity_created_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_sales_cycle_median source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (close_date - opportunity_created_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_sales_cycle_median: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Sales Cycle Length, median variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_sales_cycle_median\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, opportunity_created_date, close_date)) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(close_date, opportunity_created_date, DAY), 1000)[OFFSET(500)] FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(close_date, opportunity_created_date), 0.5) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_services_attach_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((includes_services = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_services_attach_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Services Attach Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_services_attach_rate\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((includes_services = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((includes_services = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((includes_services = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_services_backlog source: SELECT p.period_start, p.period_end, (((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (revenue_type = 'services' AND opportunity_stage = 'closed_won')) - ((SELECT SUM(revenue) FROM gasp.financials WHERE period_start <= p.period_end AND revenue_type = 'services')))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_services_backlog: one row per reporting period holding the metric value, computed by the GASP compiled query (needs to_date)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Services Backlog for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_services_backlog\",\"reason\":\"to_date\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, (((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (revenue_type = 'services' AND opportunity_stage = 'closed_won')) - ((SELECT SUM(revenue) FROM gasp.financials WHERE period_start <= p.period_end AND revenue_type = 'services')))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, (((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (revenue_type = 'services' AND opportunity_stage = 'closed_won')) - ((SELECT SUM(revenue) FROM gasp.financials WHERE period_start <= p.period_end AND revenue_type = 'services')))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, (((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (revenue_type = 'services' AND opportunity_stage = 'closed_won')) - ((SELECT SUM(revenue) FROM gasp.financials WHERE period_start <= p.period_end AND revenue_type = 'services')))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_project_margin source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) - (SELECT SUM(project_cost) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_project_margin: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Project Margin for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_project_margin","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) - (SELECT SUM(project_cost) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) - (SELECT SUM(project_cost) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) - (SELECT SUM(project_cost) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT SUM(project_revenue) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_on_time_delivery source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND project_completion_date <= target_date)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_on_time_delivery: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: On-Time Delivery for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_on_time_delivery","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND project_completion_date <= target_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND project_completion_date <= target_date)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND project_completion_date <= target_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_on_budget_delivery source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND hours_actual <= hours_budgeted)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_on_budget_delivery: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: On-Budget Delivery for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_on_budget_delivery","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND hours_actual <= hours_budgeted)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND hours_actual <= hours_budgeted)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND hours_actual <= hours_budgeted)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_project_duration_accuracy source: SELECT p.period_start, p.period_end, ((SELECT AVG((CAST((target_date - project_start_date) AS DOUBLE PRECISION) / NULLIF((project_completion_date - project_start_date), 0))) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_project_duration_accuracy: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Project Duration Accuracy for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_project_duration_accuracy","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT AVG((CAST(DATEDIFF(day, project_start_date, target_date) AS DOUBLE) / NULLIF(DATEDIFF(day, project_start_date, project_completion_date), 0))) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT AVG((CAST(DATE_DIFF(target_date, project_start_date, DAY) AS FLOAT64) / NULLIF(DATE_DIFF(project_completion_date, project_start_date, DAY), 0))) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT AVG((CAST(DATEDIFF(target_date, project_start_date) AS DOUBLE) / NULLIF(DATEDIFF(project_completion_date, project_start_date), 0))) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_reference_ability source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND referenceable = TRUE)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_reference_ability: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Reference-ability for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_reference_ability","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND referenceable = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND referenceable = TRUE)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND ((project_completion_date >= p.period_start AND project_completion_date <= p.period_end) AND referenceable = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_projects_per_consultant source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT consultant_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_projects_per_consultant: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Projects per Consultant for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_projects_per_consultant","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT consultant_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT consultant_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT consultant_id) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_average_project_duration source: SELECT p.period_start, p.period_end, ((SELECT AVG((project_completion_date - project_start_date)) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_average_project_duration: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Average Project Duration for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_average_project_duration","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(day, project_start_date, project_completion_date)) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATE_DIFF(project_completion_date, project_start_date, DAY)) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(project_completion_date, project_start_date)) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_completion_date >= p.period_start AND project_completion_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_services_win_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_services_win_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Services Win Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_services_win_rate\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((revenue_type = 'services' AND opportunity_stage IN ('closed_won', 'closed_lost')) AND (close_date >= p.period_start AND close_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_time_to_start source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (project_start_date - close_date)) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_start_date >= p.period_start AND project_start_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_time_to_start: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Time to Start for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_time_to_start","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, close_date, project_start_date)) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_start_date >= p.period_start AND project_start_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(project_start_date, close_date, DAY), 1000)[OFFSET(500)] FROM gasp.project WHERE snapshot_date = p.period_end AND (project_start_date >= p.period_start AND project_start_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(project_start_date, close_date), 0.5) FROM gasp.project WHERE snapshot_date = p.period_end AND (project_start_date >= p.period_start AND project_start_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_ticket_backlog source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at < (p.period_end + INTERVAL '1 day') AND ticket_status IN ('open', 'pending'))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_ticket_backlog: one row per reporting period holding the metric value, computed by the GASP compiled query (needs to_date)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Ticket Backlog for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ticket_backlog\",\"reason\":\"to_date\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at < DATEADD(day, 1, p.period_end) AND ticket_status IN ('open', 'pending'))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)) AND ticket_status IN ('open', 'pending'))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at < DATEADD(DAY, 1, p.period_end) AND ticket_status IN ('open', 'pending'))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_ticket_distribution_by_type source: SELECT p.period_start, p.period_end, _d.ticket_type AS ticket_type, ((CAST((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= p.period_start AND created_at < (p.period_end + INTERVAL '1 day') AND ticket_type = _d.ticket_type) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= p.period_start AND created_at < (p.period_end + INTERVAL '1 day'))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'how_to' AS ticket_type UNION ALL SELECT 'bug' AS ticket_type UNION ALL SELECT 'billing' AS ticket_type UNION ALL SELECT 'account' AS ticket_type UNION ALL SELECT 'feature_request' AS ticket_type UNION ALL SELECT 'other' AS ticket_type) _d description: "Staged dataset for gasp_ticket_distribution_by_type: one row per reporting period and ticket_type value holding the metric value, computed by the GASP compiled query (needs total)." primary_key: - period_start - ticket_type fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: ticket_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: ticket_type datatype: String description: Ticket category the agent or the help desk assigns - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Ticket Distribution by Type for the period and ticket_type custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_ticket_distribution_by_type\",\"reason\":\"total\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.ticket_type AS ticket_type, ((CAST((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= p.period_start AND created_at < DATEADD(day, 1, p.period_end) AND ticket_type = _d.ticket_type) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= p.period_start AND created_at < DATEADD(day, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'how_to' AS ticket_type UNION ALL SELECT 'bug' AS ticket_type UNION ALL SELECT 'billing' AS ticket_type UNION ALL SELECT 'account' AS ticket_type UNION ALL SELECT 'feature_request' AS ticket_type UNION ALL SELECT 'other' AS ticket_type) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.ticket_type AS ticket_type, ((CAST((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= TIMESTAMP(p.period_start) AND created_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)) AND ticket_type = _d.ticket_type) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= TIMESTAMP(p.period_start) AND created_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'how_to' AS ticket_type UNION ALL SELECT 'bug' AS ticket_type UNION ALL SELECT 'billing' AS ticket_type UNION ALL SELECT 'account' AS ticket_type UNION ALL SELECT 'feature_request' AS ticket_type UNION ALL SELECT 'other' AS ticket_type) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.ticket_type AS ticket_type, ((CAST((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= p.period_start AND created_at < DATEADD(DAY, 1, p.period_end) AND ticket_type = _d.ticket_type) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT ticket_id) FROM gasp.ticket WHERE created_at >= p.period_start AND created_at < DATEADD(DAY, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'how_to' AS ticket_type UNION ALL SELECT 'bug' AS ticket_type UNION ALL SELECT 'billing' AS ticket_type UNION ALL SELECT 'account' AS ticket_type UNION ALL SELECT 'feature_request' AS ticket_type UNION ALL SELECT 'other' AS ticket_type) _d\"}}" - name: gasp_staged_gasp_logo_retention_rate source: SELECT p.period_start, p.period_end, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_logo_retention_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Logo Retention Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_logo_retention_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active')), 0))))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_logo_retention_rate_customer_counts source: SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active') - (SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_logo_retention_rate_customer_counts: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Logo Retention Rate, customer_counts variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_logo_retention_rate_customer_counts\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active') - (SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active') - (SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND customer_status = 'active') - (SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_logo_retention_rate_by_segment source: SELECT p.period_start, p.period_end, _d.segment AS segment, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d description: "Staged dataset for gasp_logo_retention_rate_by_segment: one row per reporting period and segment value holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start - segment fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment datatype: String description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Logo Retention Rate, by_segment breakdown for the period and segment custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_logo_retention_rate_by_segment\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((1 - ((CAST(((SELECT COUNT(DISTINCT customer_id) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn' AND segment = _d.segment)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active' AND segment = _d.segment)), 0))))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_at_risk_rate_entered_at_risk source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.lifecycle_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND state_category = 'at_risk') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_at_risk_rate_entered_at_risk: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: At-Risk Customer Rate, entered_at_risk variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_at_risk_rate_entered_at_risk\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.lifecycle_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND state_category = 'at_risk') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.lifecycle_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND state_category = 'at_risk') AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.lifecycle_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND state_category = 'at_risk') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_expansion_rate source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion')) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_expansion_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Expansion Revenue Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_expansion_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion')) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion')) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion')) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_expansion_rate_by_segment source: SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment)) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d description: "Staged dataset for gasp_expansion_rate_by_segment: one row per reporting period and segment value holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start - segment fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: segment datatype: String description: Customer segment (SMB, Mid-Market, Enterprise or the organisation's own scheme) at the time of the event or snapshot. The field behind the Segment concept; carried on revenue tables so retention and movement metrics slice by it without a join. - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Expansion Revenue Rate, by_segment breakdown for the period and segment custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_expansion_rate_by_segment\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment)) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment)) AS FLOAT64) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.segment AS segment, ((CAST(((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion' AND segment = _d.segment)) AS DOUBLE) / NULLIF(((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_start AND subscription_status = 'active' AND segment = _d.segment)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT segment AS segment FROM gasp.revenue_event WHERE segment IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_upsell_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'upgrade') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND upgrade_eligible = TRUE), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_upsell_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Upsell Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_upsell_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'upgrade') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND upgrade_eligible = TRUE), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'upgrade') AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND upgrade_eligible = TRUE), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'upgrade') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND upgrade_eligible = TRUE), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_cross_sell_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'cross_sell') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cross_sell_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cross-sell Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cross_sell_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'cross_sell') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'cross_sell') AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.amendment_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND amendment_type = 'cross_sell') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_start AND customer_status = 'active'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_renewal_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_renewal_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Renewal Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_renewal_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_renewal_rate_by_value source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_renewal_rate_by_value: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Renewal Rate, by_value variant for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_renewal_rate_by_value","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS DOUBLE) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS FLOAT64) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (renewed = TRUE AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS DOUBLE) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_renewal_forecast_accuracy source: SELECT p.period_start, p.period_end, ((1 - (CAST(ABS(((SELECT SUM(forecast_renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)) - (SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)), 0)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_renewal_forecast_accuracy: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Renewal Forecast Accuracy for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_renewal_forecast_accuracy","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((1 - (CAST(ABS(((SELECT SUM(forecast_renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)) - (SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)))) AS DOUBLE) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)), 0)))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((1 - (CAST(ABS(((SELECT SUM(forecast_renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)) - (SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)))) AS FLOAT64) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)), 0)))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((1 - (CAST(ABS(((SELECT SUM(forecast_renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)) - (SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)))) AS DOUBLE) / NULLIF((SELECT SUM(renewal_amount) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewed = TRUE)), 0)))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_commit_accuracy source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((forecast_category = 'commit' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND forecast_category = 'commit'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_commit_accuracy: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Commit Accuracy for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_commit_accuracy\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((forecast_category = 'commit' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND forecast_category = 'commit'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((forecast_category = 'commit' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND forecast_category = 'commit'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((forecast_category = 'commit' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND forecast_category = 'commit'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_quote_volume source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day')))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_quote_volume: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Quote Volume for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_quote_volume","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end)))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY))))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end)))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_quote_to_order_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < (p.period_end + INTERVAL '1 day'))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_quote_to_order_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Quote-to-Order Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_quote_to_order_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < DATEADD(day, 1, p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= TIMESTAMP(p.period_start) AND order_completed_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < DATEADD(DAY, 1, p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_quote_cycle_time source: SELECT p.period_start, p.period_end, (((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (EXTRACT(EPOCH FROM (quote_sent_at - quote_requested_at)) / 86400.0)) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day'))) * 24)) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_quote_cycle_time: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Quote Cycle Time for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_quote_cycle_time","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, (((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (DATEDIFF(second, quote_requested_at, quote_sent_at) / 86400.0)) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end))) * 24)) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, (((SELECT APPROX_QUANTILES((TIMESTAMP_DIFF(quote_sent_at, quote_requested_at, SECOND) / 86400.0), 1000)[OFFSET(500)] FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))) * 24)) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, (((SELECT PERCENTILE((TIMESTAMPDIFF(SECOND, quote_requested_at, quote_sent_at) / 86400.0), 0.5) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end))) * 24)) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_quote_accuracy source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND ((quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day')) AND revision_count = 0)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_quote_accuracy: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Quote Accuracy for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_quote_accuracy","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND ((quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end)) AND revision_count = 0)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND ((quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY))) AND revision_count = 0)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND ((quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end)) AND revision_count = 0)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT quote_id) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_discount_rate source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day'))) - (SELECT SUM(quoted_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day')))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < (p.period_end + INTERVAL '1 day'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_discount_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Discount Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_discount_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end))) - (SELECT SUM(quoted_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end)))) AS DOUBLE) / NULLIF((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(day, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))) - (SELECT SUM(quoted_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY))))) AS FLOAT64) / NULLIF((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= TIMESTAMP(p.period_start) AND quote_sent_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end))) - (SELECT SUM(quoted_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end)))) AS DOUBLE) / NULLIF((SELECT SUM(list_price) FROM gasp.quote WHERE snapshot_date = p.period_end AND (quote_sent_at >= p.period_start AND quote_sent_at < DATEADD(DAY, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_order_to_activation_time source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (activation_date - acquisition_date)) FROM gasp.customer WHERE snapshot_date = p.period_end AND (activation_date >= p.period_start AND activation_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_order_to_activation_time: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Order-to-Activation Time for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_order_to_activation_time","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, acquisition_date, activation_date)) FROM gasp.customer WHERE snapshot_date = p.period_end AND (activation_date >= p.period_start AND activation_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(activation_date, acquisition_date, DAY), 1000)[OFFSET(500)] FROM gasp.customer WHERE snapshot_date = p.period_end AND (activation_date >= p.period_start AND activation_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(activation_date, acquisition_date), 0.5) FROM gasp.customer WHERE snapshot_date = p.period_end AND (activation_date >= p.period_start AND activation_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_order_processing_time source: SELECT p.period_start, p.period_end, (((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (EXTRACT(EPOCH FROM (order_completed_at - order_received_at)) / 86400.0)) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < (p.period_end + INTERVAL '1 day'))) * 24)) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_order_processing_time: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Order Processing Time for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_order_processing_time","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, (((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (DATEDIFF(second, order_received_at, order_completed_at) / 86400.0)) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < DATEADD(day, 1, p.period_end))) * 24)) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, (((SELECT APPROX_QUANTILES((TIMESTAMP_DIFF(order_completed_at, order_received_at, SECOND) / 86400.0), 1000)[OFFSET(500)] FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= TIMESTAMP(p.period_start) AND order_completed_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))) * 24)) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, (((SELECT PERCENTILE((TIMESTAMPDIFF(SECOND, order_received_at, order_completed_at) / 86400.0), 0.5) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < DATEADD(DAY, 1, p.period_end))) * 24)) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_order_error_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND ((order_completed_at >= p.period_start AND order_completed_at < (p.period_end + INTERVAL '1 day')) AND has_error = TRUE)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < (p.period_end + INTERVAL '1 day'))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_order_error_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Order Error Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_order_error_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND ((order_completed_at >= p.period_start AND order_completed_at < DATEADD(day, 1, p.period_end)) AND has_error = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < DATEADD(day, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND ((order_completed_at >= TIMESTAMP(p.period_start) AND order_completed_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY))) AND has_error = TRUE)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= TIMESTAMP(p.period_start) AND order_completed_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND ((order_completed_at >= p.period_start AND order_completed_at < DATEADD(DAY, 1, p.period_end)) AND has_error = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT order_id) FROM gasp.order WHERE snapshot_date = p.period_end AND (order_completed_at >= p.period_start AND order_completed_at < DATEADD(DAY, 1, p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_billing_accuracy source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_corrected = FALSE)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_billing_accuracy: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Billing Accuracy for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_billing_accuracy","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_corrected = FALSE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_corrected = FALSE)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_corrected = FALSE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_invoice_cycle_time source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (invoice_date - billing_trigger_date)) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_invoice_cycle_time: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Invoice Cycle Time for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_invoice_cycle_time","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, billing_trigger_date, invoice_date)) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(invoice_date, billing_trigger_date, DAY), 1000)[OFFSET(500)] FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(invoice_date, billing_trigger_date), 0.5) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_billing_disputes source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_billing_disputes: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Billing Disputes for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_billing_disputes","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_billing_disputes_by_payment_status source: SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE) AND payment_status = _d.payment_status) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d description: "Staged dataset for gasp_billing_disputes_by_payment_status: one row per reporting period and payment_status value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - payment_status fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: payment_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: payment_status datatype: String description: Payment status - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Billing Disputes, by_payment_status breakdown for the period and payment_status custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_billing_disputes_by_payment_status\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE) AND payment_status = _d.payment_status) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE) AND payment_status = _d.payment_status) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND invoice_disputed = TRUE) AND payment_status = _d.payment_status) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d\"}}" - name: gasp_staged_gasp_credit_memo_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND credit_memo_count > 0)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_credit_memo_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Credit Memo Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_credit_memo_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND credit_memo_count > 0)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND credit_memo_count > 0)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND credit_memo_count > 0)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT invoice_id) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_dso source: SELECT p.period_start, p.period_end, (((CAST((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0)) * (p.period_end - p.period_start + 1))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_dso: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period_days)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Days Sales Outstanding (DSO) for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_dso","reason":"period_days","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, (((CAST((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0)) * (DATEDIFF(day, p.period_start, p.period_end) + 1))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, (((CAST((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS FLOAT64) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0)) * (DATE_DIFF(p.period_end, p.period_start, DAY) + 1))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, (((CAST((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0)) * (DATEDIFF(p.period_end, p.period_start) + 1))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_collection_effectiveness_index_cei source: SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE PRECISION) / NULLIF((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (snapshot_date - invoice_date) <= 30)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_collection_effectiveness_index_cei: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Collection Effectiveness Index (CEI) for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_collection_effectiveness_index_cei","reason":"at period_start","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND DATEDIFF(day, invoice_date, snapshot_date) <= 30)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS FLOAT64) / NULLIF((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND DATE_DIFF(snapshot_date, invoice_date, DAY) <= 30)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((((SELECT SUM(accounts_receivable) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) + (SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) - (SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND DATEDIFF(snapshot_date, invoice_date) <= 30)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_aging_buckets source: SELECT p.period_start, p.period_end, _d.bucket AS bucket, ((CAST((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND CASE WHEN (snapshot_date - invoice_date) BETWEEN 0 AND 30 THEN 'current' WHEN (snapshot_date - invoice_date) BETWEEN 31 AND 60 THEN 'days_31_60' WHEN (snapshot_date - invoice_date) BETWEEN 61 AND 90 THEN 'days_61_90' WHEN (snapshot_date - invoice_date) >= 91 THEN 'days_90_plus' END = _d.bucket) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'current' AS bucket UNION ALL SELECT 'days_31_60' AS bucket UNION ALL SELECT 'days_61_90' AS bucket UNION ALL SELECT 'days_90_plus' AS bucket) _d description: "Staged dataset for gasp_aging_buckets: one row per reporting period and bucket value holding the metric value, computed by the GASP compiled query (needs bucket, total)." primary_key: - period_start - bucket fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: bucket expression: dialects: - dialect: OSSIE_SQL_2026 expression: bucket datatype: String description: Bucket label of Aging Buckets - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Aging Buckets for the period and bucket custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_aging_buckets\",\"reason\":\"bucket\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.bucket AS bucket, ((CAST((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND CASE WHEN DATEDIFF(day, invoice_date, snapshot_date) BETWEEN 0 AND 30 THEN 'current' WHEN DATEDIFF(day, invoice_date, snapshot_date) BETWEEN 31 AND 60 THEN 'days_31_60' WHEN DATEDIFF(day, invoice_date, snapshot_date) BETWEEN 61 AND 90 THEN 'days_61_90' WHEN DATEDIFF(day, invoice_date, snapshot_date) >= 91 THEN 'days_90_plus' END = _d.bucket) AS DOUBLE) / NULLIF((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'current' AS bucket UNION ALL SELECT 'days_31_60' AS bucket UNION ALL SELECT 'days_61_90' AS bucket UNION ALL SELECT 'days_90_plus' AS bucket) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.bucket AS bucket, ((CAST((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND CASE WHEN DATE_DIFF(snapshot_date, invoice_date, DAY) BETWEEN 0 AND 30 THEN 'current' WHEN DATE_DIFF(snapshot_date, invoice_date, DAY) BETWEEN 31 AND 60 THEN 'days_31_60' WHEN DATE_DIFF(snapshot_date, invoice_date, DAY) BETWEEN 61 AND 90 THEN 'days_61_90' WHEN DATE_DIFF(snapshot_date, invoice_date, DAY) >= 91 THEN 'days_90_plus' END = _d.bucket) AS FLOAT64) / NULLIF((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'current' AS bucket UNION ALL SELECT 'days_31_60' AS bucket UNION ALL SELECT 'days_61_90' AS bucket UNION ALL SELECT 'days_90_plus' AS bucket) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.bucket AS bucket, ((CAST((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND CASE WHEN DATEDIFF(snapshot_date, invoice_date) BETWEEN 0 AND 30 THEN 'current' WHEN DATEDIFF(snapshot_date, invoice_date) BETWEEN 31 AND 60 THEN 'days_31_60' WHEN DATEDIFF(snapshot_date, invoice_date) BETWEEN 61 AND 90 THEN 'days_61_90' WHEN DATEDIFF(snapshot_date, invoice_date) >= 91 THEN 'days_90_plus' END = _d.bucket) AS DOUBLE) / NULLIF((SELECT SUM(outstanding_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'current' AS bucket UNION ALL SELECT 'days_31_60' AS bucket UNION ALL SELECT 'days_61_90' AS bucket UNION ALL SELECT 'days_90_plus' AS bucket) _d\"}}" - name: gasp_staged_gasp_payment_method_distribution source: SELECT p.period_start, p.period_end, _d.payment_method AS payment_method, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method = _d.payment_method) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method IS NOT NULL)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'credit_card' AS payment_method UNION ALL SELECT 'ach' AS payment_method UNION ALL SELECT 'wire' AS payment_method UNION ALL SELECT 'check' AS payment_method UNION ALL SELECT 'other' AS payment_method) _d description: "Staged dataset for gasp_payment_method_distribution: one row per reporting period and payment_method value holding the metric value, computed by the GASP compiled query (needs total, period bound in filter)." primary_key: - period_start - payment_method fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: payment_method expression: dialects: - dialect: OSSIE_SQL_2026 expression: payment_method datatype: String description: Payment method - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Payment Method Distribution for the period and payment_method custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_payment_method_distribution\",\"reason\":\"total\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.payment_method AS payment_method, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method = _d.payment_method) AS DOUBLE) / NULLIF((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method IS NOT NULL)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'credit_card' AS payment_method UNION ALL SELECT 'ach' AS payment_method UNION ALL SELECT 'wire' AS payment_method UNION ALL SELECT 'check' AS payment_method UNION ALL SELECT 'other' AS payment_method) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.payment_method AS payment_method, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method = _d.payment_method) AS FLOAT64) / NULLIF((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method IS NOT NULL)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'credit_card' AS payment_method UNION ALL SELECT 'ach' AS payment_method UNION ALL SELECT 'wire' AS payment_method UNION ALL SELECT 'check' AS payment_method UNION ALL SELECT 'other' AS payment_method) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.payment_method AS payment_method, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method = _d.payment_method) AS DOUBLE) / NULLIF((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_method IS NOT NULL)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'credit_card' AS payment_method UNION ALL SELECT 'ach' AS payment_method UNION ALL SELECT 'wire' AS payment_method UNION ALL SELECT 'check' AS payment_method UNION ALL SELECT 'other' AS payment_method) _d\"}}" - name: gasp_staged_gasp_deferred_revenue_balance source: SELECT p.period_start, p.period_end, (((SELECT SUM(billed_amount) FROM gasp.revenue_schedule WHERE period_start <= p.period_end) - (SELECT SUM(recognized_revenue) FROM gasp.revenue_schedule WHERE period_start <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_deferred_revenue_balance: one row per reporting period holding the metric value, computed by the GASP compiled query (needs to_date)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Deferred Revenue Balance for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_deferred_revenue_balance","reason":"to_date","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, (((SELECT SUM(billed_amount) FROM gasp.revenue_schedule WHERE period_start <= p.period_end) - (SELECT SUM(recognized_revenue) FROM gasp.revenue_schedule WHERE period_start <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, (((SELECT SUM(billed_amount) FROM gasp.revenue_schedule WHERE period_start <= p.period_end) - (SELECT SUM(recognized_revenue) FROM gasp.revenue_schedule WHERE period_start <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, (((SELECT SUM(billed_amount) FROM gasp.revenue_schedule WHERE period_start <= p.period_end) - (SELECT SUM(recognized_revenue) FROM gasp.revenue_schedule WHERE period_start <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_renewal_notification_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewal_notified_on_time = TRUE)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_renewal_notification_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Renewal Notification Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_renewal_notification_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewal_notified_on_time = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewal_notified_on_time = TRUE)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND renewal_notified_on_time = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_auto_renewal_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND auto_renewed = TRUE)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_auto_renewal_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Auto-Renewal Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_auto_renewal_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND auto_renewed = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND auto_renewed = TRUE)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND ((contract_end >= p.period_start AND contract_end <= p.period_end) AND auto_renewed = TRUE)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT subscription_id) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_renewal_processing_time source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (renewal_complete_date - renewal_trigger_date)) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_renewal_processing_time: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Renewal Processing Time for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_renewal_processing_time","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, renewal_trigger_date, renewal_complete_date)) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(renewal_complete_date, renewal_trigger_date, DAY), 1000)[OFFSET(500)] FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(renewal_complete_date, renewal_trigger_date), 0.5) FROM gasp.subscription WHERE snapshot_date = p.period_end AND (contract_end >= p.period_start AND contract_end <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_daily_active_users_dau source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > (p.period_end - INTERVAL '1 day') AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_daily_active_users_dau: one row per reporting period holding the metric value, computed by the GASP compiled query (needs window)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Daily Active Users (DAU) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_daily_active_users_dau\",\"reason\":\"window\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(day, -1, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 1 DAY) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(DAY, -1, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_weekly_active_users_wau source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > (p.period_end - INTERVAL '7 day') AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_weekly_active_users_wau: one row per reporting period holding the metric value, computed by the GASP compiled query (needs window)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Weekly Active Users (WAU) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_weekly_active_users_wau\",\"reason\":\"window\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(day, -7, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 7 DAY) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(DAY, -7, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_monthly_active_users_mau source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > (p.period_end - INTERVAL '30 day') AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_monthly_active_users_mau: one row per reporting period holding the metric value, computed by the GASP compiled query (needs window)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Monthly Active Users (MAU) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_monthly_active_users_mau\",\"reason\":\"window\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(day, -30, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 30 DAY) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(DAY, -30, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_dau_mau source: SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > (p.period_end - INTERVAL '1 day') AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > (p.period_end - INTERVAL '30 day') AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_dau_mau: one row per reporting period holding the metric value, computed by the GASP compiled query (needs window)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: DAU/MAU Ratio (Stickiness) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_dau_mau\",\"reason\":\"window\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(day, -1, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(day, -30, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 1 DAY) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 30 DAY) AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(DAY, -1, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(DAY, -30, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_waumau_ratio source: SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > (p.period_end - INTERVAL '7 day') AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > (p.period_end - INTERVAL '30 day') AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_waumau_ratio: one row per reporting period holding the metric value, computed by the GASP compiled query (needs window)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: WAU/MAU Ratio for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_waumau_ratio\",\"reason\":\"window\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(day, -7, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(day, -30, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 7 DAY) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATE_SUB(p.period_end, INTERVAL 30 DAY) AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(DAY, -7, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date > DATEADD(DAY, -30, p.period_end) AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_activation_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND activation_date IS NOT NULL)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_activation_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Onboarding-to-Active Rate (Activation Rate) for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_activation_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND activation_date IS NOT NULL)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND activation_date IS NOT NULL)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND activation_date IS NOT NULL)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT customer_id) FROM gasp.customer WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_time_to_feature_adoption source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (first_use_date - signup_date)) FROM gasp.user WHERE snapshot_date = p.period_end AND (first_use_date >= p.period_start AND first_use_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_time_to_feature_adoption: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Time to Feature Adoption for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_time_to_feature_adoption","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, signup_date, first_use_date)) FROM gasp.user WHERE snapshot_date = p.period_end AND (first_use_date >= p.period_start AND first_use_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(first_use_date, signup_date, DAY), 1000)[OFFSET(500)] FROM gasp.user WHERE snapshot_date = p.period_end AND (first_use_date >= p.period_start AND first_use_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(first_use_date, signup_date), 0.5) FROM gasp.user WHERE snapshot_date = p.period_end AND (first_use_date >= p.period_start AND first_use_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_breadth_of_adoption source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(*) FROM (SELECT DISTINCT customer_id, feature_id FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND customer_id IS NOT NULL AND feature_id IS NOT NULL) _pairs) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_breadth_of_adoption: one row per reporting period holding the metric value, computed by the GASP compiled query (needs distinct pair)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Breadth of Adoption for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_breadth_of_adoption\",\"reason\":\"distinct pair\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(*) FROM (SELECT DISTINCT customer_id, feature_id FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND customer_id IS NOT NULL AND feature_id IS NOT NULL) _pairs) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(*) FROM (SELECT DISTINCT customer_id, feature_id FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND customer_id IS NOT NULL AND feature_id IS NOT NULL) _pairs) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(*) FROM (SELECT DISTINCT customer_id, feature_id FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND customer_id IS NOT NULL AND feature_id IS NOT NULL) _pairs) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT customer_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'qualifying')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_user_retention_day_n source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE ((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND (event_date - signup_date) = 30)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_user_retention_day_n: one row per reporting period holding the metric value, computed by the GASP compiled query (needs all_time, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: User Retention (Day N) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_user_retention_day_n\",\"reason\":\"all_time\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE ((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND DATEDIFF(day, signup_date, event_date) = 30)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE ((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND DATE_DIFF(event_date, signup_date, DAY) = 30)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE ((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND DATEDIFF(event_date, signup_date) = 30)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_cohort_retention source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE (((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND (event_date - signup_date) >= 49) AND (event_date - signup_date) < 56)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cohort_retention: one row per reporting period holding the metric value, computed by the GASP compiled query (needs all_time, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cohort Retention for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cohort_retention\",\"reason\":\"all_time\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE (((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND DATEDIFF(day, signup_date, event_date) >= 49) AND DATEDIFF(day, signup_date, event_date) < 56)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE (((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND DATE_DIFF(event_date, signup_date, DAY) >= 49) AND DATE_DIFF(event_date, signup_date, DAY) < 56)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE (((product_event_type = 'qualifying' AND (signup_date >= p.period_start AND signup_date <= p.period_end)) AND DATEDIFF(event_date, signup_date) >= 49) AND DATEDIFF(event_date, signup_date) < 56)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_resurrection_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'reactivation') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_start AND user_status = 'dormant'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_resurrection_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Resurrection Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_resurrection_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'reactivation') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_start AND user_status = 'dormant'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'reactivation') AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_start AND user_status = 'dormant'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.product_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND product_event_type = 'reactivation') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_start AND user_status = 'dormant'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_feature_delivery_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND ((planned_date >= p.period_start AND planned_date <= p.period_end) AND actual_date <= planned_date)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND (planned_date >= p.period_start AND planned_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_feature_delivery_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Feature Delivery Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_feature_delivery_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND ((planned_date >= p.period_start AND planned_date <= p.period_end) AND actual_date <= planned_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND (planned_date >= p.period_start AND planned_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND ((planned_date >= p.period_start AND planned_date <= p.period_end) AND actual_date <= planned_date)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND (planned_date >= p.period_start AND planned_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND ((planned_date >= p.period_start AND planned_date <= p.period_end) AND actual_date <= planned_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT feature_id) FROM gasp.feature WHERE snapshot_date = p.period_end AND (planned_date >= p.period_start AND planned_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_time_to_market source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (release_date - feature_created_date)) FROM gasp.feature WHERE snapshot_date = p.period_end AND (release_date >= p.period_start AND release_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_time_to_market: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Time to Market for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_time_to_market","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, feature_created_date, release_date)) FROM gasp.feature WHERE snapshot_date = p.period_end AND (release_date >= p.period_start AND release_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(release_date, feature_created_date, DAY), 1000)[OFFSET(500)] FROM gasp.feature WHERE snapshot_date = p.period_end AND (release_date >= p.period_start AND release_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(release_date, feature_created_date), 0.5) FROM gasp.feature WHERE snapshot_date = p.period_end AND (release_date >= p.period_start AND release_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_uptime source: SELECT p.period_start, p.period_end, ((1 - (CAST((SELECT SUM(downtime_minutes) FROM gasp.service_metrics WHERE period_start >= p.period_start AND period_start <= p.period_end) AS DOUBLE PRECISION) / NULLIF(((p.period_end - p.period_start + 1) * 1440), 0)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_uptime: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period_days)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Uptime (Availability) for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_uptime","reason":"period_days","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((1 - (CAST((SELECT SUM(downtime_minutes) FROM gasp.service_metrics WHERE period_start >= p.period_start AND period_start <= p.period_end) AS DOUBLE) / NULLIF(((DATEDIFF(day, p.period_start, p.period_end) + 1) * 1440), 0)))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((1 - (CAST((SELECT SUM(downtime_minutes) FROM gasp.service_metrics WHERE period_start >= p.period_start AND period_start <= p.period_end) AS FLOAT64) / NULLIF(((DATE_DIFF(p.period_end, p.period_start, DAY) + 1) * 1440), 0)))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((1 - (CAST((SELECT SUM(downtime_minutes) FROM gasp.service_metrics WHERE period_start >= p.period_start AND period_start <= p.period_end) AS DOUBLE) / NULLIF(((DATEDIFF(p.period_end, p.period_start) + 1) * 1440), 0)))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_time_to_patch source: SELECT p.period_start, p.period_end, (((SELECT AVG((EXTRACT(EPOCH FROM (patched_at - discovered_at)) / 86400.0)) FROM gasp.vulnerability WHERE snapshot_date = p.period_end AND (patched_at >= p.period_start AND patched_at < (p.period_end + INTERVAL '1 day'))) * 24)) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_time_to_patch: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Time to Patch for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_time_to_patch","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, (((SELECT AVG((DATEDIFF(second, discovered_at, patched_at) / 86400.0)) FROM gasp.vulnerability WHERE snapshot_date = p.period_end AND (patched_at >= p.period_start AND patched_at < DATEADD(day, 1, p.period_end))) * 24)) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, (((SELECT AVG((TIMESTAMP_DIFF(patched_at, discovered_at, SECOND) / 86400.0)) FROM gasp.vulnerability WHERE snapshot_date = p.period_end AND (patched_at >= TIMESTAMP(p.period_start) AND patched_at < TIMESTAMP(DATE_ADD(p.period_end, INTERVAL 1 DAY)))) * 24)) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, (((SELECT AVG((TIMESTAMPDIFF(SECOND, discovered_at, patched_at) / 86400.0)) FROM gasp.vulnerability WHERE snapshot_date = p.period_end AND (patched_at >= p.period_start AND patched_at < DATEADD(DAY, 1, p.period_end))) * 24)) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_billings source: SELECT p.period_start, p.period_end, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_billings: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Billings for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_billings","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_billings_by_payment_status source: SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d description: "Staged dataset for gasp_billings_by_payment_status: one row per reporting period and payment_status value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - payment_status fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: payment_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: payment_status datatype: String description: Payment status - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Billings, by_payment_status breakdown for the period and payment_status custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_billings_by_payment_status\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.payment_status AS payment_status, ((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_status = _d.payment_status)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid' AS payment_status UNION ALL SELECT 'unpaid' AS payment_status UNION ALL SELECT 'partial' AS payment_status UNION ALL SELECT 'written_off' AS payment_status) _d\"}}" - name: gasp_staged_gasp_burn_rate source: SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE PRECISION) / NULLIF((CAST((p.period_end - p.period_start + 1) AS DOUBLE PRECISION) / 30.4375), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_burn_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period_days)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cash Burn Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_burn_rate","reason":"at period_start","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((CAST((DATEDIFF(day, p.period_start, p.period_end) + 1) AS DOUBLE) / 30.4375), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS FLOAT64) / NULLIF((CAST((DATE_DIFF(p.period_end, p.period_start, DAY) + 1) AS FLOAT64) / 30.4375), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((CAST((DATEDIFF(p.period_end, p.period_start) + 1) AS DOUBLE) / 30.4375), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_cash_runway source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS DOUBLE PRECISION) / NULLIF(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE PRECISION) / NULLIF((CAST((p.period_end - p.period_start + 1) AS DOUBLE PRECISION) / 30.4375), 0))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cash_runway: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period_days)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cash Runway for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_cash_runway","reason":"at period_start","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS DOUBLE) / NULLIF(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((CAST((DATEDIFF(day, p.period_start, p.period_end) + 1) AS DOUBLE) / 30.4375), 0))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS FLOAT64) / NULLIF(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS FLOAT64) / NULLIF((CAST((DATE_DIFF(p.period_end, p.period_start, DAY) + 1) AS FLOAT64) / 30.4375), 0))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end) AS DOUBLE) / NULLIF(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((CAST((DATEDIFF(p.period_end, p.period_start) + 1) AS DOUBLE) / 30.4375), 0))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_magic_number source: SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = (p.period_end - INTERVAL '3 month') AND subscription_status = 'active')) * 12))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date > ((p.period_end - INTERVAL '3 month') - INTERVAL '3 month') AND event_date <= (p.period_end - INTERVAL '3 month') AND cost_function = 'gtm'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_magic_number: one row per reporting period holding the metric value, computed by the GASP compiled query (needs lag, window)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Magic Number for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_magic_number\",\"reason\":\"lag\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(quarter, -1, p.period_end) AND subscription_status = 'active')) * 12))) AS DOUBLE) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date > DATEADD(quarter, -1, DATEADD(quarter, -1, p.period_end)) AND event_date <= DATEADD(quarter, -1, p.period_end) AND cost_function = 'gtm'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 QUARTER) AND subscription_status = 'active')) * 12))) AS FLOAT64) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date > DATE_SUB(DATE_SUB(p.period_end, INTERVAL 1 QUARTER), INTERVAL 1 QUARTER) AND event_date <= DATE_SUB(p.period_end, INTERVAL 1 QUARTER) AND cost_function = 'gtm'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = p.period_end AND subscription_status = 'active')) * 12)) - ((((SELECT SUM(mrr) FROM gasp.subscription WHERE snapshot_date = DATEADD(QUARTER, -1, p.period_end) AND subscription_status = 'active')) * 12))) AS DOUBLE) / NULLIF((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date > DATEADD(QUARTER, -1, DATEADD(QUARTER, -1, p.period_end)) AND event_date <= DATEADD(QUARTER, -1, p.period_end) AND cost_function = 'gtm'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_burn_multiple source: SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE PRECISION) / NULLIF((CAST((p.period_end - p.period_start + 1) AS DOUBLE PRECISION) / 30.4375), 0))) AS DOUBLE PRECISION) / NULLIF(((((((((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'reactivation'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) * 12), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_burn_multiple: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period_days)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Burn Multiple for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_burn_multiple\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((CAST((DATEDIFF(day, p.period_start, p.period_end) + 1) AS DOUBLE) / 30.4375), 0))) AS DOUBLE) / NULLIF(((((((((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'reactivation'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) * 12), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS FLOAT64) / NULLIF((CAST((DATE_DIFF(p.period_end, p.period_start, DAY) + 1) AS FLOAT64) / 30.4375), 0))) AS FLOAT64) / NULLIF(((((((((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'reactivation'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) * 12), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST(((CAST(((SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_start) - (SELECT SUM(cash_balance) FROM gasp.balance_sheet WHERE snapshot_date = p.period_end)) AS DOUBLE) / NULLIF((CAST((DATEDIFF(p.period_end, p.period_start) + 1) AS DOUBLE) / 30.4375), 0))) AS DOUBLE) / NULLIF(((((((((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'new')) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'expansion'))) + ((SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'reactivation'))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'churn')))) - ((-(SELECT SUM(mrr_change) FROM gasp.revenue_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND event_type = 'contraction'))))) * 12), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_opex_ratio_by_cost_centre source: SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function <> 'infrastructure' AND cost_centre = _d.cost_centre) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d description: "Staged dataset for gasp_opex_ratio_by_cost_centre: one row per reporting period and cost_centre value holding the metric value, computed by the GASP compiled query (needs total)." primary_key: - period_start - cost_centre fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: cost_centre expression: dialects: - dialect: OSSIE_SQL_2026 expression: cost_centre datatype: String description: Department or team that incurred the cost - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Opex Ratio, by_cost_centre breakdown for the period and cost_centre custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_opex_ratio_by_cost_centre\",\"reason\":\"total\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function <> 'infrastructure' AND cost_centre = _d.cost_centre) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function <> 'infrastructure' AND cost_centre = _d.cost_centre) AS FLOAT64) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.cost_centre AS cost_centre, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function <> 'infrastructure' AND cost_centre = _d.cost_centre) AS DOUBLE) / NULLIF(((SELECT SUM(revenue) FROM gasp.financials WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'marketing' AS cost_centre UNION ALL SELECT 'sales' AS cost_centre UNION ALL SELECT 'customer_success' AS cost_centre UNION ALL SELECT 'support' AS cost_centre UNION ALL SELECT 'engineering' AS cost_centre UNION ALL SELECT 'product' AS cost_centre UNION ALL SELECT 'finance' AS cost_centre UNION ALL SELECT 'people' AS cost_centre UNION ALL SELECT 'services' AS cost_centre UNION ALL SELECT 'partnerships' AS cost_centre UNION ALL SELECT 'general' AS cost_centre) _d\"}}" - name: gasp_staged_gasp_collection_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_date IS NOT NULL)) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_collection_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Collection Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_collection_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_date IS NOT NULL)) AS DOUBLE) / NULLIF(((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_date IS NOT NULL)) AS FLOAT64) / NULLIF(((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND ((invoice_date >= p.period_start AND invoice_date <= p.period_end) AND payment_date IS NOT NULL)) AS DOUBLE) / NULLIF(((SELECT SUM(invoice_amount) FROM gasp.invoice WHERE snapshot_date = p.period_end AND (invoice_date >= p.period_start AND invoice_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_onboarding_duration source: SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (onboarding_completion_date - onboarding_start_date)) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_onboarding_duration: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Onboarding Duration for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_onboarding_duration","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY DATEDIFF(day, onboarding_start_date, onboarding_completion_date)) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT APPROX_QUANTILES(DATE_DIFF(onboarding_completion_date, onboarding_start_date, DAY), 1000)[OFFSET(500)] FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT PERCENTILE(DATEDIFF(onboarding_completion_date, onboarding_start_date), 0.5) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_onboarding_completion source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_start_date >= p.period_start AND onboarding_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_onboarding_completion: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Onboarding Completion Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_onboarding_completion","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_start_date >= p.period_start AND onboarding_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_start_date >= p.period_start AND onboarding_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_start_date >= p.period_start AND onboarding_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_on_time_completion_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND onboarding_completion_date <= target_date)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_on_time_completion_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: On-Time Completion Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_on_time_completion_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND onboarding_completion_date <= target_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND onboarding_completion_date <= target_date)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND ((onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end) AND onboarding_completion_date <= target_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_onboardings_per_resource source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT resource_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_onboardings_per_resource: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Onboardings per Resource for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_onboardings_per_resource","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT resource_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT resource_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT resource_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_cost_per_onboarding source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'onboarding') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cost_per_onboarding: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cost per Onboarding for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cost_per_onboarding\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'onboarding') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'onboarding') AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'onboarding') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_time_spent_per_onboarding source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(hours) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_time_spent_per_onboarding: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Time Spent per Onboarding for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_time_spent_per_onboarding","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(hours) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(hours) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(hours) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT onboarding_id) FROM gasp.onboarding WHERE snapshot_date = p.period_end AND (onboarding_completion_date >= p.period_start AND onboarding_completion_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_headcount_growth_rate source: SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active')) - ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active'))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_headcount_growth_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Headcount Growth Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_headcount_growth_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active')) - ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active'))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active')) - ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active'))) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active')) - ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active'))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_employee_turnover source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE PRECISION) / 2), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_employee_turnover: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Employee Turnover Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_employee_turnover\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AS FLOAT64) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS FLOAT64) / 2), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_employee_turnover_by_department source: SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end) AND department = _d.department) AS DOUBLE PRECISION) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS DOUBLE PRECISION) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d description: "Staged dataset for gasp_employee_turnover_by_department: one row per reporting period and department value holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start - department fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: department expression: dialects: - dialect: OSSIE_SQL_2026 expression: department datatype: String description: Department - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Employee Turnover Rate, by_department breakdown for the period and department custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_employee_turnover_by_department\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end) AND department = _d.department) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end) AND department = _d.department) AS FLOAT64) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS FLOAT64) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date >= p.period_start AND termination_date <= p.period_end) AND department = _d.department) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_voluntary_turnover_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE PRECISION) / 2), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_voluntary_turnover_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Voluntary Turnover Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_voluntary_turnover_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS FLOAT64) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS FLOAT64) / 2), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_voluntary_turnover_rate_by_department source: SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AND department = _d.department) AS DOUBLE PRECISION) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS DOUBLE PRECISION) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d description: "Staged dataset for gasp_voluntary_turnover_rate_by_department: one row per reporting period and department value holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start - department fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: department expression: dialects: - dialect: OSSIE_SQL_2026 expression: department datatype: String description: Department - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Voluntary Turnover Rate, by_department breakdown for the period and department custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_voluntary_turnover_rate_by_department\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AND department = _d.department) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AND department = _d.department) AS FLOAT64) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS FLOAT64) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.department AS department, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'voluntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end)) AND department = _d.department) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active' AND department = _d.department)) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active' AND department = _d.department))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT department AS department FROM gasp.employee WHERE department IS NOT NULL) _d\"}}" - name: gasp_staged_gasp_involuntary_turnover_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'involuntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE PRECISION) / 2), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_involuntary_turnover_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Involuntary Turnover Rate for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_involuntary_turnover_rate\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'involuntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'involuntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS FLOAT64) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS FLOAT64) / 2), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_type = 'involuntary' AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE) / NULLIF((CAST((((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND employee_status = 'active')) + ((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND employee_status = 'active'))) AS DOUBLE) / 2), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_regrettable_turnover source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((termination_type = 'voluntary' AND is_high_performer = TRUE) AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND (is_high_performer = TRUE AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_regrettable_turnover: one row per reporting period holding the metric value, computed by the GASP compiled query (needs at period_start, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Regrettable Turnover for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_regrettable_turnover\",\"reason\":\"at period_start\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((termination_type = 'voluntary' AND is_high_performer = TRUE) AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND (is_high_performer = TRUE AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((termination_type = 'voluntary' AND is_high_performer = TRUE) AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND (is_high_performer = TRUE AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((termination_type = 'voluntary' AND is_high_performer = TRUE) AND (termination_date >= p.period_start AND termination_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_start AND (is_high_performer = TRUE AND employee_status = 'active')), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_day_90_turnover source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND (termination_date - hire_date) <= 90)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_day_90_turnover: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: 90-Day Turnover for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_day_90_turnover","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND DATEDIFF(day, hire_date, termination_date) <= 90)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND DATE_DIFF(termination_date, hire_date, DAY) <= 90)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND DATEDIFF(termination_date, hire_date) <= 90)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_day_90_turnover_by_hire_source source: SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND (termination_date - hire_date) <= 90) AND hire_source = _d.hire_source) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d description: "Staged dataset for gasp_day_90_turnover_by_hire_source: one row per reporting period and hire_source value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - hire_source fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: hire_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: hire_source datatype: String description: Recruiting channel the employee was hired through - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: 90-Day Turnover, by_hire_source breakdown for the period and hire_source custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_day_90_turnover_by_hire_source\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND DATEDIFF(day, hire_date, termination_date) <= 90) AND hire_source = _d.hire_source) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND DATE_DIFF(termination_date, hire_date, DAY) <= 90) AND hire_source = _d.hire_source) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (termination_date IS NOT NULL AND DATEDIFF(termination_date, hire_date) <= 90) AND hire_source = _d.hire_source) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d\"}}" - name: gasp_staged_gasp_time_to_fill source: SELECT p.period_start, p.period_end, ((SELECT AVG((filled_date - requisition_opened_date)) FROM gasp.requisition WHERE snapshot_date = p.period_end AND (filled_date >= p.period_start AND filled_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_time_to_fill: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Time to Fill for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_time_to_fill","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(day, requisition_opened_date, filled_date)) FROM gasp.requisition WHERE snapshot_date = p.period_end AND (filled_date >= p.period_start AND filled_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATE_DIFF(filled_date, requisition_opened_date, DAY)) FROM gasp.requisition WHERE snapshot_date = p.period_end AND (filled_date >= p.period_start AND filled_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(filled_date, requisition_opened_date)) FROM gasp.requisition WHERE snapshot_date = p.period_end AND (filled_date >= p.period_start AND filled_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_time_to_hire source: SELECT p.period_start, p.period_end, ((SELECT AVG((hire_date - application_date)) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_time_to_hire: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Time to Hire for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_time_to_hire","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(day, application_date, hire_date)) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATE_DIFF(hire_date, application_date, DAY)) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT AVG(DATEDIFF(hire_date, application_date)) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_cost_per_hire source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'recruiting') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cost_per_hire: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cost per Hire for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cost_per_hire\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'recruiting') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'recruiting') AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND cost_function = 'recruiting') AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_source_of_hire source: SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d description: "Staged dataset for gasp_source_of_hire: one row per reporting period and hire_source value holding the metric value, computed by the GASP compiled query (needs total, period bound in filter)." primary_key: - period_start - hire_source fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: hire_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: hire_source datatype: String description: Recruiting channel the employee was hired through - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Source of Hire for the period and hire_source custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_source_of_hire\",\"reason\":\"total\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.hire_source AS hire_source, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end) AND hire_source = _d.hire_source) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'referral' AS hire_source UNION ALL SELECT 'inbound' AS hire_source UNION ALL SELECT 'sourced' AS hire_source UNION ALL SELECT 'agency' AS hire_source UNION ALL SELECT 'internal' AS hire_source UNION ALL SELECT 'campus' AS hire_source UNION ALL SELECT 'other' AS hire_source) _d\"}}" - name: gasp_staged_gasp_diversity_hiring_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((underrepresented_group = TRUE AND hire_date >= p.period_start) AND hire_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_diversity_hiring_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Diversity Hiring Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_diversity_hiring_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((underrepresented_group = TRUE AND hire_date >= p.period_start) AND hire_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((underrepresented_group = TRUE AND hire_date >= p.period_start) AND hire_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND ((underrepresented_group = TRUE AND hire_date >= p.period_start) AND hire_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT employee_id) FROM gasp.employee WHERE snapshot_date = p.period_end AND (hire_date >= p.period_start AND hire_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_visitor_to_lead_rate source: SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF(((SELECT SUM(unique_visitors) FROM gasp.web_traffic WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_visitor_to_lead_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Visitor-to-Lead Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_visitor_to_lead_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS DOUBLE) / NULLIF(((SELECT SUM(unique_visitors) FROM gasp.web_traffic WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS FLOAT64) / NULLIF(((SELECT SUM(unique_visitors) FROM gasp.web_traffic WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS DOUBLE) / NULLIF(((SELECT SUM(unique_visitors) FROM gasp.web_traffic WHERE period_start >= p.period_start AND period_start <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_leads source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_leads: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Leads for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_leads","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_leads_by_lead_source source: SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d description: "Staged dataset for gasp_leads_by_lead_source: one row per reporting period and lead_source value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - lead_source fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_source datatype: String description: Lead source - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Leads, by_lead_source breakdown for the period and lead_source custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_leads_by_lead_source","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","BIGQUERY":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","DATABRICKS":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d"}}' - name: gasp_staged_gasp_leads_by_lead_stage source: SELECT p.period_start, p.period_end, _d.lead_stage AS lead_stage, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_stage = _d.lead_stage)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'lead' AS lead_stage UNION ALL SELECT 'mql' AS lead_stage UNION ALL SELECT 'sql' AS lead_stage UNION ALL SELECT 'opportunity' AS lead_stage UNION ALL SELECT 'disqualified' AS lead_stage) _d description: "Staged dataset for gasp_leads_by_lead_stage: one row per reporting period and lead_stage value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - lead_stage fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: lead_stage expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_stage datatype: String description: Lead funnel stage - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Leads, by_lead_stage breakdown for the period and lead_stage custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_leads_by_lead_stage\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.lead_stage AS lead_stage, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_stage = _d.lead_stage)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'lead' AS lead_stage UNION ALL SELECT 'mql' AS lead_stage UNION ALL SELECT 'sql' AS lead_stage UNION ALL SELECT 'opportunity' AS lead_stage UNION ALL SELECT 'disqualified' AS lead_stage) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.lead_stage AS lead_stage, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_stage = _d.lead_stage)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'lead' AS lead_stage UNION ALL SELECT 'mql' AS lead_stage UNION ALL SELECT 'sql' AS lead_stage UNION ALL SELECT 'opportunity' AS lead_stage UNION ALL SELECT 'disqualified' AS lead_stage) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.lead_stage AS lead_stage, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_stage = _d.lead_stage)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'lead' AS lead_stage UNION ALL SELECT 'mql' AS lead_stage UNION ALL SELECT 'sql' AS lead_stage UNION ALL SELECT 'opportunity' AS lead_stage UNION ALL SELECT 'disqualified' AS lead_stage) _d\"}}" - name: gasp_staged_gasp_mqls source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_mqls: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Marketing Qualified Leads (MQLs) for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_mqls","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_mqls_by_lead_source source: SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d description: "Staged dataset for gasp_mqls_by_lead_source: one row per reporting period and lead_source value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - lead_source fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_source datatype: String description: Lead source - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Marketing Qualified Leads (MQLs), by_lead_source breakdown for the period and lead_source custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_mqls_by_lead_source","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","BIGQUERY":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","DATABRICKS":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d"}}' - name: gasp_staged_gasp_lead_to_mql_rate source: SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_lead_to_mql_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Lead-to-MQL Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_lead_to_mql_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_lead_to_mql_rate_by_lead_source source: SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d description: "Staged dataset for gasp_lead_to_mql_rate_by_lead_source: one row per reporting period and lead_source value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - lead_source fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_source datatype: String description: Lead source - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Lead-to-MQL Rate, by_lead_source breakdown for the period and lead_source custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_lead_to_mql_rate_by_lead_source","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","BIGQUERY":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","DATABRICKS":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d"}}' - name: gasp_staged_gasp_sqls source: SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_sqls: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Sales Qualified Leads (SQLs) for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_sqls","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_mql_to_sql_rate source: SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_mql_to_sql_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: MQL-to-SQL Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_mql_to_sql_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_mql_to_sql_rate_by_lead_source source: SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end) AND lead_source = _d.lead_source)) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d description: "Staged dataset for gasp_mql_to_sql_rate_by_lead_source: one row per reporting period and lead_source value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - lead_source fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: lead_source datatype: String description: Lead source - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: MQL-to-SQL Rate, by_lead_source breakdown for the period and lead_source custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_mql_to_sql_rate_by_lead_source","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end) AND lead_source = _d.lead_source)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","BIGQUERY":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end) AND lead_source = _d.lead_source)) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d","DATABRICKS":"SELECT p.period_start, p.period_end, _d.lead_source AS lead_source, ((CAST(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end) AND lead_source = _d.lead_source)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end) AND lead_source = _d.lead_source)), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT DISTINCT lead_source AS lead_source FROM gasp.lead WHERE lead_source IS NOT NULL) _d"}}' - name: gasp_staged_gasp_sql_to_opportunity_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_sql_to_opportunity_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: SQL-to-Opportunity Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_sql_to_opportunity_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_created_date >= p.period_start AND opportunity_created_date <= p.period_end)) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (sql_date >= p.period_start AND sql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_lvr source: SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) - ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = (p.period_end - INTERVAL '1 month') AND (mql_date >= (p.period_start - INTERVAL '1 month') AND mql_date <= (p.period_end - INTERVAL '1 month'))))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = (p.period_end - INTERVAL '1 month') AND (mql_date >= (p.period_start - INTERVAL '1 month') AND mql_date <= (p.period_end - INTERVAL '1 month')))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_lvr: one row per reporting period holding the metric value, computed by the GASP compiled query (needs lag, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Lead Velocity Rate (LVR) for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_lvr","reason":"lag","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) - ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = DATEADD(month, -1, p.period_end) AND (mql_date >= DATEADD(month, -1, p.period_start) AND mql_date <= DATEADD(month, -1, p.period_end))))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = DATEADD(month, -1, p.period_end) AND (mql_date >= DATEADD(month, -1, p.period_start) AND mql_date <= DATEADD(month, -1, p.period_end)))), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) - ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 MONTH) AND (mql_date >= DATE_SUB(p.period_start, INTERVAL 1 MONTH) AND mql_date <= DATE_SUB(p.period_end, INTERVAL 1 MONTH))))) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = DATE_SUB(p.period_end, INTERVAL 1 MONTH) AND (mql_date >= DATE_SUB(p.period_start, INTERVAL 1 MONTH) AND mql_date <= DATE_SUB(p.period_end, INTERVAL 1 MONTH)))), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))) - ((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = DATEADD(MONTH, -1, p.period_end) AND (mql_date >= DATEADD(MONTH, -1, p.period_start) AND mql_date <= DATEADD(MONTH, -1, p.period_end))))) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = DATEADD(MONTH, -1, p.period_end) AND (mql_date >= DATEADD(MONTH, -1, p.period_start) AND mql_date <= DATEADD(MONTH, -1, p.period_end)))), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_cac_by_channel source: SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = _d.channel) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d description: "Staged dataset for gasp_cac_by_channel: one row per reporting period and channel value holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start - channel fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: channel expression: dialects: - dialect: OSSIE_SQL_2026 expression: channel datatype: String description: "Marketing channel: the channel a campaign runs in, and the first-touch channel of an opportunity" - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: CAC by Channel for the period and channel custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cac_by_channel\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = _d.channel) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = _d.channel) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, _d.channel AS channel, ((CAST((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = _d.channel) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT opportunity_id) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND (opportunity_stage = 'closed_won' AND (close_date >= p.period_start AND close_date <= p.period_end)) AND channel = _d.channel), 0))) AS value FROM gasp.period_spine p CROSS JOIN (SELECT 'paid_ads' AS channel UNION ALL SELECT 'organic_search' AS channel UNION ALL SELECT 'email' AS channel UNION ALL SELECT 'events' AS channel UNION ALL SELECT 'content' AS channel UNION ALL SELECT 'referral' AS channel UNION ALL SELECT 'marketplace' AS channel UNION ALL SELECT 'direct' AS channel UNION ALL SELECT 'other' AS channel) _d\"}}" - name: gasp_staged_gasp_cpl source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cpl: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cost per Lead (CPL) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cpl\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (lead_created_date >= p.period_start AND lead_created_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_cost_per_mql source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_cost_per_mql: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Cost per MQL for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_cost_per_mql\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS FLOAT64) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(cost) FROM gasp.cost_event WHERE event_date >= p.period_start AND event_date <= p.period_end AND (cost_function = 'gtm' AND cost_centre = 'marketing')) AS DOUBLE) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM gasp.lead WHERE snapshot_date = p.period_end AND (mql_date >= p.period_start AND mql_date <= p.period_end))), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_marketing_sourced_revenue source: SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_source = 'marketing' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_marketing_sourced_revenue: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Marketing Sourced Revenue for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_marketing_sourced_revenue\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_source = 'marketing' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_source = 'marketing' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_source = 'marketing' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_marketing_influenced_pipelinerevenue_revenue source: SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_influenced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_marketing_influenced_pipelinerevenue_revenue: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Marketing Influenced Pipeline/Revenue, revenue variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_marketing_influenced_pipelinerevenue_revenue\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_influenced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_influenced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((marketing_influenced = TRUE AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end)))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_paid_media_efficiency_roas source: SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'paid_ads' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = 'paid_ads'), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_paid_media_efficiency_roas: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Paid Media Efficiency (ROAS) for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_paid_media_efficiency_roas\",\"reason\":\"period bound in filter\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'paid_ads' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = 'paid_ads'), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'paid_ads' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = 'paid_ads'), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT SUM(opportunity_amount) FROM gasp.opportunity WHERE snapshot_date = p.period_end AND ((channel = 'paid_ads' AND opportunity_stage = 'closed_won') AND (close_date >= p.period_start AND close_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT SUM(ad_spend) FROM gasp.campaign WHERE period_start >= p.period_start AND period_start <= p.period_end AND channel = 'paid_ads'), 0))) AS value FROM gasp.period_spine p\"}}" - name: gasp_staged_gasp_onboarding_milestone_completion_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (((milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end) AND milestone_date IS NOT NULL) AND milestone_date <= p.period_end)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_onboarding_milestone_completion_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs all_time, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Onboarding Milestone Completion Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_onboarding_milestone_completion_rate","reason":"all_time","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (((milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end) AND milestone_date IS NOT NULL) AND milestone_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (((milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end) AND milestone_date IS NOT NULL) AND milestone_date <= p.period_end)) AS FLOAT64) / NULLIF((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (((milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end) AND milestone_date IS NOT NULL) AND milestone_date <= p.period_end)) AS DOUBLE) / NULLIF((SELECT COUNT(onboarding_id) FROM gasp.onboarding_milestone WHERE (milestone_due_date >= p.period_start AND milestone_due_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_project_milestone_completion_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND ((actual_date >= p.period_start AND actual_date <= p.period_end) AND actual_date <= planned_date)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND (actual_date >= p.period_start AND actual_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_project_milestone_completion_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Project Milestone Completion Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_project_milestone_completion_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND ((actual_date >= p.period_start AND actual_date <= p.period_end) AND actual_date <= planned_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND (actual_date >= p.period_start AND actual_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND ((actual_date >= p.period_start AND actual_date <= p.period_end) AND actual_date <= planned_date)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND (actual_date >= p.period_start AND actual_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND ((actual_date >= p.period_start AND actual_date <= p.period_end) AND actual_date <= planned_date)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT project_milestone_id) FROM gasp.project_milestone WHERE snapshot_date = p.period_end AND (actual_date >= p.period_start AND actual_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_product_activation_rate source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND ((signup_date >= p.period_start AND signup_date <= p.period_end) AND activation_date IS NOT NULL)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_product_activation_rate: one row per reporting period holding the metric value, computed by the GASP compiled query (needs period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Activation Rate for the period custom_extensions: - vendor_name: GASP data: '{"staged":true,"for":"gasp_product_activation_rate","reason":"period bound in filter","source_dialect":"postgres","sources":{"SNOWFLAKE":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND ((signup_date >= p.period_start AND signup_date <= p.period_end) AND activation_date IS NOT NULL)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","BIGQUERY":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND ((signup_date >= p.period_start AND signup_date <= p.period_end) AND activation_date IS NOT NULL)) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p","DATABRICKS":"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND ((signup_date >= p.period_start AND signup_date <= p.period_end) AND activation_date IS NOT NULL)) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM gasp.user WHERE snapshot_date = p.period_end AND (signup_date >= p.period_start AND signup_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p"}}' - name: gasp_staged_gasp_trial_to_paid_conversion_rate_by_start_date source: SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_status = 'converted' AND (trial_start_date >= p.period_start AND trial_start_date <= p.period_end))) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_start_date >= p.period_start AND trial_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p description: "Staged dataset for gasp_trial_to_paid_conversion_rate_by_start_date: one row per reporting period holding the metric value, computed by the GASP compiled query (needs all_time, period bound in filter)." primary_key: - period_start fields: - name: period_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_start dimension: is_time: true datatype: Date description: First day of the reporting period - name: period_end expression: dialects: - dialect: OSSIE_SQL_2026 expression: period_end datatype: Date description: Last day of the reporting period - name: value expression: dialects: - dialect: OSSIE_SQL_2026 expression: value datatype: Decimal description: Trial-to-Paid Conversion Rate, by_start_date variant for the period custom_extensions: - vendor_name: GASP data: "{\"staged\":true,\"for\":\"gasp_trial_to_paid_conversion_rate_by_start_date\",\"reason\":\"all_time\",\"source_dialect\":\"postgres\",\"sources\":{\"SNOWFLAKE\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_status = 'converted' AND (trial_start_date >= p.period_start AND trial_start_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_start_date >= p.period_start AND trial_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"BIGQUERY\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_status = 'converted' AND (trial_start_date >= p.period_start AND trial_start_date <= p.period_end))) AS FLOAT64) / NULLIF((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_start_date >= p.period_start AND trial_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\",\"DATABRICKS\":\"SELECT p.period_start, p.period_end, ((CAST((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_status = 'converted' AND (trial_start_date >= p.period_start AND trial_start_date <= p.period_end))) AS DOUBLE) / NULLIF((SELECT COUNT(DISTINCT trial_id) FROM gasp.trial WHERE (trial_start_date >= p.period_start AND trial_start_date <= p.period_end)), 0))) AS value FROM gasp.period_spine p\"}}" relationships: - name: revenue_event_customer_id from: revenue_event to: customer from_columns: - customer_id - event_date to_columns: - customer_id - snapshot_date - name: revenue_event_subscription_id from: revenue_event to: subscription from_columns: - subscription_id - event_date to_columns: - subscription_id - snapshot_date - name: cost_event_customer_id from: cost_event to: customer from_columns: - customer_id - event_date to_columns: - customer_id - snapshot_date - name: cost_event_partner_id from: cost_event to: partner from_columns: - partner_id - event_date to_columns: - partner_id - snapshot_date - name: cost_event_project_id from: cost_event to: project from_columns: - project_id - event_date to_columns: - project_id - snapshot_date - name: contract_event_customer_id from: contract_event to: customer from_columns: - customer_id - event_date to_columns: - customer_id - snapshot_date - name: contract_event_subscription_id from: contract_event to: subscription from_columns: - subscription_id - event_date to_columns: - subscription_id - snapshot_date - name: amendment_event_customer_id from: amendment_event to: customer from_columns: - customer_id - event_date to_columns: - customer_id - snapshot_date - name: amendment_event_subscription_id from: amendment_event to: subscription from_columns: - subscription_id - event_date to_columns: - subscription_id - snapshot_date - name: lifecycle_event_customer_id from: lifecycle_event to: customer from_columns: - customer_id - event_date to_columns: - customer_id - snapshot_date - name: trial_customer_id from: trial to: customer from_columns: - customer_id - trial_end_date to_columns: - customer_id - snapshot_date - name: contact_customer_id from: contact to: customer from_columns: - customer_id - snapshot_date to_columns: - customer_id - snapshot_date - name: license_product_id from: license to: product from_columns: - product_id - snapshot_date to_columns: - product_id - snapshot_date - name: license_subscription_id from: license to: subscription from_columns: - subscription_id - snapshot_date to_columns: - subscription_id - snapshot_date - name: subscription_customer_id from: subscription to: customer from_columns: - customer_id - snapshot_date to_columns: - customer_id - snapshot_date - name: subscription_plan_id from: subscription to: plan from_columns: - plan_id - snapshot_date to_columns: - plan_id - snapshot_date - name: opportunity_customer_id from: opportunity to: customer from_columns: - customer_id - snapshot_date to_columns: - customer_id - snapshot_date - name: opportunity_lead_id from: opportunity to: lead from_columns: - lead_id - snapshot_date to_columns: - lead_id - snapshot_date - name: opportunity_partner_id from: opportunity to: partner from_columns: - partner_id - snapshot_date to_columns: - partner_id - snapshot_date - name: opportunity_rep_id from: opportunity to: sales_rep from_columns: - rep_id to_columns: - rep_id - name: user_customer_id from: user to: customer from_columns: - customer_id - snapshot_date to_columns: - customer_id - snapshot_date - name: project_consultant_id from: project to: consultant from_columns: - consultant_id to_columns: - consultant_id - name: project_customer_id from: project to: customer from_columns: - customer_id - snapshot_date to_columns: - customer_id - snapshot_date - name: invoice_customer_id from: invoice to: customer from_columns: - customer_id - snapshot_date to_columns: - customer_id - snapshot_date - name: ticket_customer_id from: ticket to: customer from_columns: - customer_id - created_at to_columns: - customer_id - snapshot_date - name: product_event_customer_id from: product_event to: customer from_columns: - customer_id - event_date to_columns: - customer_id - snapshot_date - name: product_event_feature_id from: product_event to: feature from_columns: - feature_id - event_date to_columns: - feature_id - snapshot_date - name: product_event_user_id from: product_event to: user from_columns: - user_id - event_date to_columns: - user_id - snapshot_date - name: survey_response_customer_id from: survey_response to: customer from_columns: - customer_id - survey_date to_columns: - customer_id - snapshot_date - name: survey_response_employee_id from: survey_response to: employee from_columns: - employee_id - survey_date to_columns: - employee_id - snapshot_date - name: survey_response_lead_id from: survey_response to: lead from_columns: - lead_id - survey_date to_columns: - lead_id - snapshot_date - name: survey_response_partner_id from: survey_response to: partner from_columns: - partner_id - survey_date to_columns: - partner_id - snapshot_date - name: survey_response_project_id from: survey_response to: project from_columns: - project_id - survey_date to_columns: - project_id - snapshot_date - name: deployment_incident_id from: deployment to: incident from_columns: - incident_id to_columns: - incident_id - name: feature_release_id from: feature to: release from_columns: - release_id to_columns: - release_id - name: project_milestone_project_id from: project_milestone to: project from_columns: - project_id - snapshot_date to_columns: - project_id - snapshot_date - name: time_entry_consultant_id from: time_entry to: consultant from_columns: - consultant_id to_columns: - consultant_id - name: time_entry_project_id from: time_entry to: project from_columns: - project_id - entry_date to_columns: - project_id - snapshot_date - name: deliverable_project_id from: deliverable to: project from_columns: - project_id - snapshot_date to_columns: - project_id - snapshot_date - name: onboarding_customer_id from: onboarding to: customer from_columns: - customer_id - snapshot_date to_columns: - customer_id - snapshot_date - name: order_quote_id from: order to: quote from_columns: - quote_id - snapshot_date to_columns: - quote_id - snapshot_date - name: revenue_schedule_customer_id from: revenue_schedule to: customer from_columns: - customer_id - period_start to_columns: - customer_id - snapshot_date - name: partner_activity_partner_id from: partner_activity to: partner from_columns: - partner_id - activity_date to_columns: - partner_id - snapshot_date - name: deal_registration_opportunity_id from: deal_registration to: opportunity from_columns: - opportunity_id - snapshot_date to_columns: - opportunity_id - snapshot_date - name: deal_registration_partner_id from: deal_registration to: partner from_columns: - partner_id - snapshot_date to_columns: - partner_id - snapshot_date metrics: - name: gasp_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END) description: MRR (Monthly Recurring Revenue). The total predictable revenue from active subscriptions, normalized to a monthly value. datatype: Decimal ai_context: synonyms: - MRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/mrr-monthly-recurring-revenue. Reads the subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"mrr\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr where field.subscription_status = 'active') at period_end\"}" - name: gasp_mrr_by_plan expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END) description: MRR (Monthly Recurring Revenue), by_plan breakdown. The total predictable revenue from active subscriptions, normalized to a monthly value. datatype: Decimal ai_context: synonyms: - MRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/mrr-monthly-recurring-revenue. Broken down by plan.plan_name: report one value per plan_name, joining each dataset the expression reads to plan on plan_id (the model's relationship) and grouping on plan.plan_name. Reads the subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"mrr\",\"gasp_version\":\"1\",\"variant\":\"by_plan\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr where field.subscription_status = 'active') at period_end\",\"gasp_breakdown\":\"plan.plan_name\"}" - name: gasp_mrr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END) description: MRR (Monthly Recurring Revenue), by_segment breakdown. The total predictable revenue from active subscriptions, normalized to a monthly value. datatype: Decimal ai_context: synonyms: - MRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/mrr-monthly-recurring-revenue. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads. Reads the subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"mrr\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr where field.subscription_status = 'active') at period_end\",\"gasp_breakdown\":\"segment\"}" - name: gasp_arr expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) * 12) description: ARR (Annual Recurring Revenue). The annualized value of recurring revenue. ARR represents the yearly run rate of subscription revenue. datatype: Decimal ai_context: synonyms: - ARR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/arr-annual-recurring-revenue. Reads the subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"arr","gasp_version":"1","unit":"currency","formula":"metric.mrr * 12"}' - name: gasp_arr_o expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_arr_o.value) description: ARR (Annual Recurring Revenue), Operating form. The annualized value of recurring revenue. ARR represents the yearly run rate of subscription revenue. datatype: Decimal ai_context: synonyms: - ARR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/arr-annual-recurring-revenue. Staged (cohort): gasp_staged_gasp_arr_o holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"arr\",\"gasp_version\":\"1\",\"form\":\"O\",\"unit\":\"currency\",\"formula\":\"(metric.mrr - window(sum(field.mrr_change where field.expansion_classification in ('pricing_adjustment', 'recontracting')), 12 month)) * 12 over cohort(field.customer_id, period_end)\",\"staged\":true}" - name: gasp_arr_m expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) * 12) description: ARR (Annual Recurring Revenue), Market form. The annualized value of recurring revenue. ARR represents the yearly run rate of subscription revenue. datatype: Decimal ai_context: synonyms: - ARR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/arr-annual-recurring-revenue. Reads the subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"arr","gasp_version":"1","form":"M","unit":"currency","formula":"metric.mrr * 12"}' - name: gasp_arr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) * 12) description: ARR (Annual Recurring Revenue), by_segment breakdown. The annualized value of recurring revenue. ARR represents the yearly run rate of subscription revenue. datatype: Decimal ai_context: synonyms: - ARR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/arr-annual-recurring-revenue. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads. Reads the subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"arr","gasp_version":"1","variant":"by_segment","unit":"currency","formula":"metric.mrr * 12","gasp_breakdown":"segment"}' - name: gasp_arpa expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END)), 0)) description: ARPA (Average Revenue Per Account). Average monthly recurring revenue per customer. datatype: Decimal ai_context: synonyms: - ARPA instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/arpa-average-revenue-per-account. Reads the customer and subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"arpa","gasp_version":"1","unit":"currency","formula":"metric.mrr / metric.total_customers"}' - name: gasp_arpa_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END)), 0)) description: ARPA (Average Revenue Per Account), by_segment breakdown. Average monthly recurring revenue per customer. datatype: Decimal ai_context: synonyms: - ARPA instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/arpa-average-revenue-per-account. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads. Reads the customer and subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"arpa","gasp_version":"1","variant":"by_segment","unit":"currency","formula":"metric.mrr / metric.total_customers","gasp_breakdown":"segment"}' - name: gasp_total_customers expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END) description: Total Customers. The number of active customers at the end of the period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/total-customers. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"total_customers\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.customer_id where field.customer_status = 'active') at period_end\"}" - name: gasp_total_customers_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END) description: Total Customers, by_segment breakdown. The number of active customers at the end of the period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/total-customers. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"total_customers\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"count\",\"formula\":\"count_distinct(field.customer_id where field.customer_status = 'active') at period_end\",\"gasp_breakdown\":\"segment\"}" - name: gasp_new_customers expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END) description: "New Customers. The number of customers acquired in the period: customers whose first paid subscription started in the period." datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/new-customers." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"new_customers\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.customer_id where field.event_type = 'new')\"}" - name: gasp_new_customers_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END) description: "New Customers, by_segment breakdown. The number of customers acquired in the period: customers whose first paid subscription started in the period." datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/new-customers. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"new_customers\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"count\",\"formula\":\"count_distinct(field.customer_id where field.event_type = 'new')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_churned_customers expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'churn' THEN revenue_event.customer_id END) description: "Churned Customers. The number of customers lost in the period: customers whose last active subscription ended." datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/churned-customers." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"churned_customers\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.customer_id where field.event_type = 'churn')\"}" - name: gasp_churned_customers_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'churn' THEN revenue_event.customer_id END) description: "Churned Customers, by_segment breakdown. The number of customers lost in the period: customers whose last active subscription ended." datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/churned-customers. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"churned_customers\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"count\",\"formula\":\"count_distinct(field.customer_id where field.event_type = 'churn')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_mrr_growth_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_mrr_growth_rate.value) description: MRR Growth Rate. The month-over-month percentage change in MRR. datatype: Decimal ai_context: synonyms: - MRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/mrr-growth-rate. Staged (lag): gasp_staged_gasp_mrr_growth_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mrr_growth_rate","gasp_version":"1","unit":"percent","formula":"(metric.mrr - lag(metric.mrr, 1 month)) / lag(metric.mrr, 1 month)","staged":true}' - name: gasp_new_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.mrr_change ELSE 0 END) description: New MRR. MRR generated from brand new customers acquired in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/new-mrr." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"new_mrr\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr_change where field.event_type = 'new')\"}" - name: gasp_new_mrr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.mrr_change ELSE 0 END) description: New MRR, by_segment breakdown. MRR generated from brand new customers acquired in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/new-mrr. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"new_mrr\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr_change where field.event_type = 'new')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_expansion_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN revenue_event.event_type = 'expansion' THEN revenue_event.mrr_change ELSE 0 END) description: Expansion MRR. Additional MRR from existing customers through upgrades, add-ons, seat increases or price increases. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/expansion-mrr." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"expansion_mrr\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr_change where field.event_type = 'expansion')\"}" - name: gasp_expansion_mrr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN revenue_event.event_type = 'expansion' THEN revenue_event.mrr_change ELSE 0 END) description: Expansion MRR, by_segment breakdown. Additional MRR from existing customers through upgrades, add-ons, seat increases or price increases. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/expansion-mrr. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"expansion_mrr\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr_change where field.event_type = 'expansion')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_churned_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: (-SUM(CASE WHEN revenue_event.event_type = 'churn' THEN revenue_event.mrr_change ELSE 0 END)) description: Churned MRR. MRR lost from customers who cancelled their subscriptions. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/churned-mrr." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"churned_mrr\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"-sum(field.mrr_change where field.event_type = 'churn')\"}" - name: gasp_churned_mrr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: (-SUM(CASE WHEN revenue_event.event_type = 'churn' THEN revenue_event.mrr_change ELSE 0 END)) description: Churned MRR, by_segment breakdown. MRR lost from customers who cancelled their subscriptions. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/churned-mrr. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"churned_mrr\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"currency\",\"formula\":\"-sum(field.mrr_change where field.event_type = 'churn')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_contraction_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: (-SUM(CASE WHEN revenue_event.event_type = 'contraction' THEN revenue_event.mrr_change ELSE 0 END)) description: Contraction MRR. MRR reduction from existing customers who downgraded but didn't churn. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/contraction-mrr." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"contraction_mrr\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"-sum(field.mrr_change where field.event_type = 'contraction')\"}" - name: gasp_contraction_mrr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: (-SUM(CASE WHEN revenue_event.event_type = 'contraction' THEN revenue_event.mrr_change ELSE 0 END)) description: Contraction MRR, by_segment breakdown. MRR reduction from existing customers who downgraded but didn't churn. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/contraction-mrr. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"contraction_mrr\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"currency\",\"formula\":\"-sum(field.mrr_change where field.event_type = 'contraction')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_reactivation_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN revenue_event.event_type = 'reactivation' THEN revenue_event.mrr_change ELSE 0 END) description: Reactivation MRR. MRR regained from customers who had churned and signed up again in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/reactivation-mrr." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"reactivation_mrr\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr_change where field.event_type = 'reactivation')\"}" - name: gasp_reactivation_mrr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN revenue_event.event_type = 'reactivation' THEN revenue_event.mrr_change ELSE 0 END) description: Reactivation MRR, by_segment breakdown. MRR regained from customers who had churned and signed up again in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/reactivation-mrr. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"reactivation_mrr\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"currency\",\"formula\":\"sum(field.mrr_change where field.event_type = 'reactivation')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_carry_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_carry_mrr.value) description: "Carry MRR. The part of beginning MRR that existing customers kept paying in the period: beginning MRR less churned and contraction MRR, before any expansion." datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/carry-mrr. Staged (at period_start): gasp_staged_gasp_carry_mrr holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"carry_mrr","gasp_version":"1","unit":"currency","formula":"metric.mrr at period_start - metric.churned_mrr - metric.contraction_mrr","staged":true}' - name: gasp_net_new_mrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: (((((SUM(CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.mrr_change ELSE 0 END)) + (SUM(CASE WHEN revenue_event.event_type = 'expansion' THEN revenue_event.mrr_change ELSE 0 END))) + (SUM(CASE WHEN revenue_event.event_type = 'reactivation' THEN revenue_event.mrr_change ELSE 0 END))) - ((-SUM(CASE WHEN revenue_event.event_type = 'churn' THEN revenue_event.mrr_change ELSE 0 END)))) - ((-SUM(CASE WHEN revenue_event.event_type = 'contraction' THEN revenue_event.mrr_change ELSE 0 END)))) description: Net New MRR. The net change in MRR after accounting for all movements. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/net-new-mrr." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"net_new_mrr","gasp_version":"1","unit":"currency","formula":"metric.new_mrr + metric.expansion_mrr + metric.reactivation_mrr - metric.churned_mrr - metric.contraction_mrr"}' - name: gasp_nrr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_nrr.value) description: Net Revenue Retention (NRR). The percentage of revenue retained from existing customers over a period, including expansion, contraction and churn. Also known as Net Dollar Retention (NDR). datatype: Decimal ai_context: synonyms: - NRR - NDR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/net-revenue-retention-nrr. Staged (cohort): gasp_staged_gasp_nrr holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"nrr","gasp_version":"1","unit":"percent","formula":"(metric.mrr at period_start + metric.expansion_mrr - metric.contraction_mrr - metric.churned_mrr) / metric.mrr at period_start over cohort(field.customer_id, period_start)","staged":true}' - name: gasp_nrr_o expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_nrr_o.value) description: Net Revenue Retention (NRR), Operating form. The percentage of revenue retained from existing customers over a period, including expansion, contraction and churn. Also known as Net Dollar Retention (NDR). datatype: Decimal ai_context: synonyms: - NRR - NDR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/net-revenue-retention-nrr. Staged (cohort): gasp_staged_gasp_nrr_o holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"nrr\",\"gasp_version\":\"1\",\"form\":\"O\",\"unit\":\"percent\",\"formula\":\"(metric.mrr at period_start + sum(field.mrr_change where field.event_type = 'expansion' and field.expansion_classification in ('same_product', 'usage_realisation')) - metric.contraction_mrr - metric.churned_mrr) / metric.mrr at period_start over cohort(field.customer_id, period_start)\",\"staged\":true}" - name: gasp_nrr_m expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_nrr_m.value) description: Net Revenue Retention (NRR), Market form. The percentage of revenue retained from existing customers over a period, including expansion, contraction and churn. Also known as Net Dollar Retention (NDR). datatype: Decimal ai_context: synonyms: - NRR - NDR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/net-revenue-retention-nrr. Staged (cohort): gasp_staged_gasp_nrr_m holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"nrr\",\"gasp_version\":\"1\",\"form\":\"M\",\"unit\":\"percent\",\"formula\":\"(metric.mrr at period_start + sum(field.mrr_change where field.event_type in ('expansion', 'reactivation') and field.expansion_classification in ('same_product', 'new_module', 'new_buying_centre', 'pricing_adjustment', 'recontracting', 'usage_realisation')) - metric.contraction_mrr - metric.churned_mrr) / metric.mrr at period_start over cohort(field.customer_id, period_start)\",\"staged\":true}" - name: gasp_nrr_adjusted expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_nrr_adjusted.value) description: Net Revenue Retention (NRR), adjusted variant. The percentage of revenue retained from existing customers over a period, including expansion, contraction and churn. Also known as Net Dollar Retention (NDR). datatype: Decimal ai_context: synonyms: - NRR - NDR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/net-revenue-retention-nrr. Staged (cohort): gasp_staged_gasp_nrr_adjusted holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"nrr\",\"gasp_version\":\"1\",\"variant\":\"adjusted\",\"unit\":\"percent\",\"formula\":\"(sum(field.mrr_start) + sum(field.mrr_change where field.event_type in ('expansion', 'contraction', 'churn') and field.change_nature = 'permanent')) / sum(field.mrr_start) over cohort(field.customer_id, period_start)\",\"staged\":true}" - name: gasp_nrr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_nrr_by_segment.value) description: Net Revenue Retention (NRR), by_segment breakdown. The percentage of revenue retained from existing customers over a period, including expansion, contraction and churn. Also known as Net Dollar Retention (NDR). datatype: Decimal ai_context: synonyms: - NRR - NDR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/net-revenue-retention-nrr. Broken down by segment: report one value per segment. Staged (cohort): gasp_staged_gasp_nrr_by_segment holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"nrr","gasp_version":"1","variant":"by_segment","unit":"percent","formula":"(metric.mrr at period_start + metric.expansion_mrr - metric.contraction_mrr - metric.churned_mrr) / metric.mrr at period_start over cohort(field.customer_id, period_start)","gasp_breakdown":"segment","staged":true}' - name: gasp_grr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_grr.value) description: Gross Revenue Retention (GRR). The percentage of revenue retained from existing customers, excluding expansion revenue. Also known as Gross Dollar Retention. datatype: Decimal ai_context: synonyms: - GRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/gross-revenue-retention-grr. Staged (cohort): gasp_staged_gasp_grr holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"grr","gasp_version":"1","unit":"percent","formula":"(metric.mrr at period_start - metric.contraction_mrr - metric.churned_mrr) / metric.mrr at period_start over cohort(field.customer_id, period_start)","staged":true}' - name: gasp_grr_per_customer expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_grr_per_customer.value) description: Gross Revenue Retention (GRR), per_customer variant. The percentage of revenue retained from existing customers, excluding expansion revenue. Also known as Gross Dollar Retention. datatype: Decimal ai_context: synonyms: - GRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/gross-revenue-retention-grr. Staged (cohort): gasp_staged_gasp_grr_per_customer holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"grr","gasp_version":"1","variant":"per_customer","unit":"percent","formula":"sum(min(field.mrr_end, field.mrr_start)) / sum(field.mrr_start) over cohort(field.customer_id, period_start)","staged":true}' - name: gasp_grr_adjusted expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_grr_adjusted.value) description: Gross Revenue Retention (GRR), adjusted variant. The percentage of revenue retained from existing customers, excluding expansion revenue. Also known as Gross Dollar Retention. datatype: Decimal ai_context: synonyms: - GRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/gross-revenue-retention-grr. Staged (cohort): gasp_staged_gasp_grr_adjusted holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"grr\",\"gasp_version\":\"1\",\"variant\":\"adjusted\",\"unit\":\"percent\",\"formula\":\"(sum(field.mrr_start) + sum(field.mrr_change where field.event_type in ('contraction', 'churn') and field.change_nature = 'permanent')) / sum(field.mrr_start) over cohort(field.customer_id, period_start)\",\"staged\":true}" - name: gasp_grr_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_grr_by_segment.value) description: Gross Revenue Retention (GRR), by_segment breakdown. The percentage of revenue retained from existing customers, excluding expansion revenue. Also known as Gross Dollar Retention. datatype: Decimal ai_context: synonyms: - GRR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/gross-revenue-retention-grr. Broken down by segment: report one value per segment. Staged (cohort): gasp_staged_gasp_grr_by_segment holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"grr","gasp_version":"1","variant":"by_segment","unit":"percent","formula":"(metric.mrr at period_start - metric.contraction_mrr - metric.churned_mrr) / metric.mrr at period_start over cohort(field.customer_id, period_start)","gasp_breakdown":"segment","staged":true}' - name: gasp_logo_churn_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_logo_churn_rate.value) description: Logo Churn Rate (Customer Churn). The percentage of customers lost in a period. Also called customer churn or logo churn. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/logo-churn-rate-customer-churn. Staged (at period_start): gasp_staged_gasp_logo_churn_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"logo_churn_rate","gasp_version":"1","unit":"percent","formula":"metric.churned_customers / metric.total_customers at period_start","staged":true}' - name: gasp_logo_churn_rate_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_logo_churn_rate_by_segment.value) description: Logo Churn Rate (Customer Churn), by_segment breakdown. The percentage of customers lost in a period. Also called customer churn or logo churn. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/logo-churn-rate-customer-churn. Broken down by segment: report one value per segment. Staged (at period_start): gasp_staged_gasp_logo_churn_rate_by_segment holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"logo_churn_rate","gasp_version":"1","variant":"by_segment","unit":"percent","formula":"metric.churned_customers / metric.total_customers at period_start","gasp_breakdown":"segment","staged":true}' - name: gasp_revenue_churn_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_revenue_churn_rate.value) description: Revenue Churn Rate. The percentage of MRR lost to churn and contraction in a period. Also called MRR Churn Rate. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/revenue-churn-rate. Staged (at period_start): gasp_staged_gasp_revenue_churn_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"revenue_churn_rate","gasp_version":"1","unit":"percent","formula":"(metric.churned_mrr + metric.contraction_mrr) / metric.mrr at period_start","staged":true}' - name: gasp_revenue_churn_rate_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_revenue_churn_rate_by_segment.value) description: Revenue Churn Rate, by_segment breakdown. The percentage of MRR lost to churn and contraction in a period. Also called MRR Churn Rate. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/revenue-churn-rate. Broken down by segment: report one value per segment. Staged (at period_start): gasp_staged_gasp_revenue_churn_rate_by_segment holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"revenue_churn_rate","gasp_version":"1","variant":"by_segment","unit":"percent","formula":"(metric.churned_mrr + metric.contraction_mrr) / metric.mrr at period_start","gasp_breakdown":"segment","staged":true}' - name: gasp_nps expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((CAST((COUNT(CASE WHEN (survey_response.survey_type = 'customer' AND survey_response.nps_score >= 9) THEN survey_response.nps_score END) - COUNT(CASE WHEN (survey_response.survey_type = 'customer' AND survey_response.nps_score <= 6) THEN survey_response.nps_score END)) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'customer' THEN survey_response.nps_score END), 0)) * 100) description: NPS (Net Promoter Score). A measure of customer loyalty based on likelihood to recommend. datatype: Decimal ai_context: synonyms: - NPS instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/nps-net-promoter-score." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"nps\",\"gasp_version\":\"1\",\"unit\":\"score\",\"formula\":\"(count(field.nps_score where field.survey_type = 'customer' and field.nps_score >= 9) - count(field.nps_score where field.survey_type = 'customer' and field.nps_score <= 6)) / count(field.nps_score where field.survey_type = 'customer') * 100\"}" - name: gasp_cac expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function = 'gtm' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END)), 0)) description: CAC (Customer Acquisition Cost). The total cost to acquire a new customer. datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/cac-customer-acquisition-cost." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cac\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'gtm') / metric.new_customers\"}" - name: gasp_cac_o expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((SUM(CASE WHEN cost_event.cost_function = 'gtm' THEN cost_event.cost ELSE 0 END) + SUM(CASE WHEN cost_event.cost_function IN ('implementation', 'onboarding') THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END)), 0)) description: CAC (Customer Acquisition Cost), Operating form. The total cost to acquire a new customer. datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/cac-customer-acquisition-cost." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cac\",\"gasp_version\":\"1\",\"form\":\"O\",\"unit\":\"currency\",\"formula\":\"(sum(field.cost where field.cost_function = 'gtm') + sum(field.cost where field.cost_function in ('implementation', 'onboarding'))) / metric.new_customers\"}" - name: gasp_cac_m expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function = 'gtm' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END)), 0)) description: CAC (Customer Acquisition Cost), Market form. The total cost to acquire a new customer. datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/cac-customer-acquisition-cost." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cac\",\"gasp_version\":\"1\",\"form\":\"M\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'gtm') / metric.new_customers\"}" - name: gasp_cac_by_cost_centre expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cac_by_cost_centre.value) description: CAC (Customer Acquisition Cost), by_cost_centre breakdown. The total cost to acquire a new customer. datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/cac-customer-acquisition-cost. Broken down by cost_centre: report one value per cost_centre. Staged (total): gasp_staged_gasp_cac_by_cost_centre holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cac\",\"gasp_version\":\"1\",\"variant\":\"by_cost_centre\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'gtm') / metric.new_customers\",\"gasp_breakdown\":\"cost_centre\",\"staged\":true}" - name: gasp_ltv expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ltv.value) description: LTV (Customer Lifetime Value). The gross profit expected from a customer over their lifetime. Also known as CLV (Customer Lifetime Value) or CLTV. datatype: Decimal ai_context: synonyms: - LTV - CLV - CLTV instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/ltv-customer-lifetime-value. Staged (at period_start): gasp_staged_gasp_ltv holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ltv","gasp_version":"1","unit":"currency","formula":"metric.arpa * metric.gross_margin / metric.revenue_churn_rate","staged":true}' - name: gasp_ltv_o expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ltv_o.value) description: LTV (Customer Lifetime Value), Operating form. The gross profit expected from a customer over their lifetime. Also known as CLV (Customer Lifetime Value) or CLTV. datatype: Decimal ai_context: synonyms: - LTV - CLV - CLTV instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/ltv-customer-lifetime-value. Staged (at period_start): gasp_staged_gasp_ltv_o holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ltv","gasp_version":"1","form":"O","unit":"currency","formula":"metric.arpa * metric.gross_margin.O / metric.revenue_churn_rate","staged":true}' - name: gasp_ltv_m expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ltv_m.value) description: LTV (Customer Lifetime Value), Market form. The gross profit expected from a customer over their lifetime. Also known as CLV (Customer Lifetime Value) or CLTV. datatype: Decimal ai_context: synonyms: - LTV - CLV - CLTV instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/ltv-customer-lifetime-value. Staged (at period_start): gasp_staged_gasp_ltv_m holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ltv","gasp_version":"1","form":"M","unit":"currency","formula":"metric.arpa * metric.gross_margin / metric.revenue_churn_rate","staged":true}' - name: gasp_ltv_cac_ratio expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ltv_cac_ratio.value) description: LTV:CAC Ratio. The ratio of customer lifetime value to acquisition cost. Measures the return on investment from sales and marketing spend. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/ltvcac-ratio. Staged (at period_start): gasp_staged_gasp_ltv_cac_ratio holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ltv_cac_ratio","gasp_version":"1","unit":"ratio","formula":"metric.ltv / metric.cac","staged":true}' - name: gasp_ltv_cac_ratio_o expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ltv_cac_ratio_o.value) description: LTV:CAC Ratio, Operating form. The ratio of customer lifetime value to acquisition cost. Measures the return on investment from sales and marketing spend. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/ltvcac-ratio. Staged (at period_start): gasp_staged_gasp_ltv_cac_ratio_o holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ltv_cac_ratio","gasp_version":"1","form":"O","unit":"ratio","formula":"metric.ltv.O / metric.cac.O","staged":true}' - name: gasp_ltv_cac_ratio_m expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ltv_cac_ratio_m.value) description: LTV:CAC Ratio, Market form. The ratio of customer lifetime value to acquisition cost. Measures the return on investment from sales and marketing spend. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/ltvcac-ratio. Staged (at period_start): gasp_staged_gasp_ltv_cac_ratio_m holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ltv_cac_ratio","gasp_version":"1","form":"M","unit":"ratio","formula":"metric.ltv.M / metric.cac.M","staged":true}' - name: gasp_cac_payback expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(((CAST(SUM(CASE WHEN cost_event.cost_function = 'gtm' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END)), 0))) AS DECIMAL) / NULLIF((((CAST((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END)), 0))) * ((CAST((SUM(financials.revenue) - SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0)))), 0)) description: CAC Payback Period. The number of months required to recover the cost of acquiring a customer. Also called "Months to Recover CAC" or "Time to Recover CAC." datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/cac-payback-period. Reads the customer and subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"cac_payback","gasp_version":"1","unit":"months","formula":"metric.cac / (metric.arpa * metric.gross_margin)"}' - name: gasp_cac_payback_o expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(((CAST((SUM(CASE WHEN cost_event.cost_function = 'gtm' THEN cost_event.cost ELSE 0 END) + SUM(CASE WHEN cost_event.cost_function IN ('implementation', 'onboarding') THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END)), 0))) AS DECIMAL) / NULLIF((((CAST((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END)), 0))) * ((CAST(((SUM(financials.revenue) - SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END)) - SUM(CASE WHEN cost_event.cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding') THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0)))), 0)) description: CAC Payback Period, Operating form. The number of months required to recover the cost of acquiring a customer. Also called "Months to Recover CAC" or "Time to Recover CAC." datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/cac-payback-period. Reads the customer and subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"cac_payback","gasp_version":"1","form":"O","unit":"months","formula":"metric.cac.O / (metric.arpa * metric.gross_margin.O)"}' - name: gasp_cac_payback_m expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(((CAST(SUM(CASE WHEN cost_event.cost_function = 'gtm' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END)), 0))) AS DECIMAL) / NULLIF((((CAST((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END)), 0))) * ((CAST((SUM(financials.revenue) - SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0)))), 0)) description: CAC Payback Period, Market form. The number of months required to recover the cost of acquiring a customer. Also called "Months to Recover CAC" or "Time to Recover CAC." datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/cac-payback-period. Reads the customer and subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"cac_payback","gasp_version":"1","form":"M","unit":"months","formula":"metric.cac.M / (metric.arpa * metric.gross_margin.M)"}' - name: gasp_gross_margin expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((SUM(financials.revenue) - SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0)) description: Gross Margin. Revenue minus cost of goods sold (COGS), as a percentage of revenue. Measures profitability after direct delivery costs. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/gross-margin." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"gross_margin\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"(sum(field.revenue) - sum(field.cost where field.cost_function = 'infrastructure')) / sum(field.revenue)\"}" - name: gasp_gross_margin_o expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(((SUM(financials.revenue) - SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END)) - SUM(CASE WHEN cost_event.cost_function IN ('support', 'success_engineering', 'implementation', 'onboarding') THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0)) description: Gross Margin, Operating form. Revenue minus cost of goods sold (COGS), as a percentage of revenue. Measures profitability after direct delivery costs. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/gross-margin." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"gross_margin\",\"gasp_version\":\"1\",\"form\":\"O\",\"unit\":\"percent\",\"formula\":\"(sum(field.revenue) - sum(field.cost where field.cost_function = 'infrastructure') - sum(field.cost where field.cost_function in ('support', 'success_engineering', 'implementation', 'onboarding'))) / sum(field.revenue)\"}" - name: gasp_gross_margin_m expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((SUM(financials.revenue) - SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0)) description: Gross Margin, Market form. Revenue minus cost of goods sold (COGS), as a percentage of revenue. Measures profitability after direct delivery costs. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/gross-margin." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"gross_margin\",\"gasp_version\":\"1\",\"form\":\"M\",\"unit\":\"percent\",\"formula\":\"(sum(field.revenue) - sum(field.cost where field.cost_function = 'infrastructure')) / sum(field.revenue)\"}" - name: gasp_rule_of_40 expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_rule_of_40.value) description: Rule of 40. A heuristic that balances growth and profitability. A healthy SaaS company's growth rate plus profit margin should equal 40% or more. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/core/rule-of-40. Staged (lag): gasp_staged_gasp_rule_of_40 holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"rule_of_40","gasp_version":"1","unit":"percent","formula":"(metric.arr - lag(metric.arr, 1 year)) / lag(metric.arr, 1 year) + metric.ebitda_margin","staged":true}' - name: gasp_total_active_partners expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN partner.partner_status = 'active' THEN partner.partner_id END) description: Total Active Partners. Number of partners actively engaged in the program. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/total-active-partners. Reads the partner snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"total_active_partners\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.partner_id where field.partner_status = 'active')\"}" - name: gasp_partner_tier_distribution expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_tier_distribution.value) description: Partner Tier Distribution. Breakdown of partners by program tier. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-tier-distribution. Broken down by partner_tier: report one value per partner_tier. Staged (total): gasp_staged_gasp_partner_tier_distribution holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"partner_tier_distribution","gasp_version":"1","unit":"percent","formula":"count_distinct(field.partner_id) / total(count_distinct(field.partner_id))","gasp_breakdown":"partner_tier","staged":true}' - name: gasp_partner_activation_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_activation_rate.value) description: Partner Activation Rate. Percentage of recruited partners who become productive. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-activation-rate. Staged (period bound in filter): gasp_staged_gasp_partner_activation_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_activation_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.partner_id where in_period(field.partner_recruited_date) and field.partner_status = 'active') at period_end / count_distinct(field.partner_id where in_period(field.partner_recruited_date)) at period_end\",\"staged\":true}" - name: gasp_partner_churn_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_churn_rate.value) description: Partner Churn Rate. Percentage of partners who leave or become inactive. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-churn-rate. Staged (at period_start): gasp_staged_gasp_partner_churn_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_churn_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.partner_id where in_period(field.partner_churn_date)) / count_distinct(field.partner_id where field.partner_status = 'active') at period_start\",\"staged\":true}" - name: gasp_partner_churn_rate_by_partner_tier expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_churn_rate_by_partner_tier.value) description: Partner Churn Rate, by_partner_tier breakdown. Percentage of partners who leave or become inactive. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-churn-rate. Broken down by partner_tier: report one value per partner_tier. Staged (at period_start): gasp_staged_gasp_partner_churn_rate_by_partner_tier holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_churn_rate\",\"gasp_version\":\"1\",\"variant\":\"by_partner_tier\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.partner_id where in_period(field.partner_churn_date)) / count_distinct(field.partner_id where field.partner_status = 'active') at period_start\",\"gasp_breakdown\":\"partner_tier\",\"staged\":true}" - name: gasp_partner_sourced_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_sourced_revenue.value) description: Partner-Sourced Revenue. Revenue from deals originated by partners. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-sourced-revenue. Staged (period bound in filter): gasp_staged_gasp_partner_sourced_revenue holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_sourced_revenue\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.partner_sourced = true and field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_partner_influenced_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_influenced_revenue.value) description: Partner-Influenced Revenue. Revenue from deals where partners were involved (but may not have originated). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-influenced-revenue. Staged (period bound in filter): gasp_staged_gasp_partner_influenced_revenue holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_influenced_revenue\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.partner_id is not null and field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_channel_revenue_percentage expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_channel_revenue_percentage.value) description: Channel Revenue Percentage. Partner-sourced revenue as a percentage of total recognised (GAAP) revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/channel-revenue-percentage. Staged (period bound in filter): gasp_staged_gasp_channel_revenue_percentage holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"channel_revenue_percentage","gasp_version":"1","unit":"percent","formula":"metric.partner_sourced_revenue / metric.revenue_gaap","staged":true}' - name: gasp_partner_revenue_growth expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_revenue_growth.value) description: Partner Revenue Growth. Year-over-year growth in partner-sourced revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-revenue-growth. Staged (lag): gasp_staged_gasp_partner_revenue_growth holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"partner_revenue_growth","gasp_version":"1","unit":"percent","formula":"(metric.partner_sourced_revenue - lag(metric.partner_sourced_revenue, 1 year)) / lag(metric.partner_sourced_revenue, 1 year)","staged":true}' - name: gasp_average_partner_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_average_partner_revenue.value) description: Average Partner Revenue. Average revenue per active partner. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/average-partner-revenue. Staged (period bound in filter): gasp_staged_gasp_average_partner_revenue holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"average_partner_revenue","gasp_version":"1","unit":"currency","formula":"metric.partner_influenced_revenue / metric.total_active_partners","staged":true}' - name: gasp_partner_deal_registration_volume expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_deal_registration_volume.value) description: Partner Deal Registration Volume. Number of deals registered by partners. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-deal-registration-volume. Staged (period bound in filter): gasp_staged_gasp_partner_deal_registration_volume holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"partner_deal_registration_volume","gasp_version":"1","unit":"count","formula":"count_distinct(field.registration_id where in_period(field.registration_date))","staged":true}' - name: gasp_deal_registration_to_close_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_deal_registration_to_close_rate.value) description: Deal Registration-to-Close Rate. Percentage of registered deals that close. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/deal-registration-to-close-rate. Staged (period bound in filter): gasp_staged_gasp_deal_registration_to_close_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"deal_registration_to_close_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.registration_id where field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count_distinct(field.registration_id where in_period(field.registration_date))\",\"staged\":true}" - name: gasp_partner_win_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_win_rate.value) description: Partner Win Rate. Win rate on partner-involved opportunities. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-win-rate. Staged (period bound in filter): gasp_staged_gasp_partner_win_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_win_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.opportunity_id where field.partner_id is not null and field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count(field.opportunity_id where field.partner_id is not null and field.opportunity_stage in ('closed_won', 'closed_lost') and in_period(field.close_date))\",\"staged\":true}" - name: gasp_partner_deal_size expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_deal_size.value) description: Partner Deal Size. Average deal size for partner-sourced deals. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-deal-size. Staged (period bound in filter): gasp_staged_gasp_partner_deal_size holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_deal_size\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"metric.partner_sourced_revenue / count(field.opportunity_id where field.partner_sourced = true and field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_partner_sales_cycle expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_sales_cycle.value) description: Partner Sales Cycle. Median sales cycle for registered partner deals that closed won in the period, from registration to close. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-sales-cycle. Staged (period bound in filter): gasp_staged_gasp_partner_sales_cycle holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_sales_cycle\",\"gasp_version\":\"1\",\"unit\":\"days\",\"formula\":\"median(field.close_date - field.registration_date where field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_certification_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN partner.certification_status = 'certified' THEN partner.partner_id END) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN partner.partner_status = 'active' THEN partner.partner_id END)), 0)) description: Certification Rate. Percentage of partners with current certifications. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/certification-rate. Reads the partner snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"certification_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.partner_id where field.certification_status = 'certified') / metric.total_active_partners\"}" - name: gasp_training_completion expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN partner.training_completed = TRUE THEN partner.partner_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT partner.partner_id), 0)) description: Training Completion. Percentage of partners completing required training. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/training-completion. Reads the partner snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"training_completion","gasp_version":"1","unit":"percent","formula":"count_distinct(field.partner_id where field.training_completed = true) / count_distinct(field.partner_id)"}' - name: gasp_joint_marketing_activities expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(CASE WHEN partner_activity.partner_activity_type IN ('webinar', 'event', 'content', 'campaign') THEN partner_activity.activity_id END) description: Joint Marketing Activities. Number of co-marketing activities with partners. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/joint-marketing-activities." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"joint_marketing_activities\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count(field.activity_id where field.partner_activity_type in ('webinar', 'event', 'content', 'campaign'))\"}" - name: gasp_partner_nps expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((CAST((COUNT(CASE WHEN (survey_response.survey_type = 'partner' AND survey_response.nps_score >= 9) THEN survey_response.nps_score END) - COUNT(CASE WHEN (survey_response.survey_type = 'partner' AND survey_response.nps_score <= 6) THEN survey_response.nps_score END)) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'partner' THEN survey_response.nps_score END), 0)) * 100) description: Partner NPS. Net Promoter Score from partner satisfaction surveys. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-nps." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_nps\",\"gasp_version\":\"1\",\"unit\":\"score\",\"formula\":\"(count(field.nps_score where field.survey_type = 'partner' and field.nps_score >= 9) - count(field.nps_score where field.survey_type = 'partner' and field.nps_score <= 6)) / count(field.nps_score where field.survey_type = 'partner') * 100\"}" - name: gasp_partner_margin_commission expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_margin_commission.value) description: Partner Margin / Commission. Compensation paid to partners. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-margin-commission. Staged (period bound in filter): gasp_staged_gasp_partner_margin_commission holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_margin_commission\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.cost where field.cost_function = 'partner_commission') / metric.partner_sourced_revenue\",\"staged\":true}" - name: gasp_cost_of_partner_acquisition expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cost_of_partner_acquisition.value) description: Cost of Partner Acquisition. Cost to recruit and onboard a new partner. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/cost-of-partner-acquisition. Staged (period bound in filter): gasp_staged_gasp_cost_of_partner_acquisition holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cost_of_partner_acquisition\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'partner_program') / count_distinct(field.partner_id where in_period(field.partner_recruited_date))\",\"staged\":true}" - name: gasp_partner_lifetime_value expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_lifetime_value.value) description: Partner Lifetime Value. Expected revenue from a partner over its lifetime. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-lifetime-value. Staged (at period_start): gasp_staged_gasp_partner_lifetime_value holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"partner_lifetime_value","gasp_version":"1","unit":"currency","formula":"metric.average_partner_revenue / metric.partner_churn_rate","staged":true}' - name: gasp_partner_roi expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_partner_roi.value) description: Partner ROI. Return on investment in partner program. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/partner-roi. Staged (period bound in filter): gasp_staged_gasp_partner_roi holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"partner_roi\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"(metric.partner_sourced_revenue - sum(field.cost where field.cost_function = 'partner_program')) / sum(field.cost where field.cost_function = 'partner_program')\",\"staged\":true}" - name: gasp_marketplace_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_marketplace_revenue.value) description: Marketplace Revenue. Revenue transacted through marketplace (AWS, Azure, etc.). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/marketplace-revenue. Staged (period bound in filter): gasp_staged_gasp_marketplace_revenue holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"marketplace_revenue\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.channel = 'marketplace' and field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_marketplace_as_of_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_marketplace_as_of_revenue.value) description: Marketplace as % of Revenue. Marketplace contribution to total revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/partnerships/marketplace-as-of-revenue. Staged (period bound in filter): gasp_staged_gasp_marketplace_as_of_revenue holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"marketplace_as_of_revenue","gasp_version":"1","unit":"percent","formula":"metric.marketplace_revenue / metric.revenue_gaap","staged":true}' - name: gasp_pipeline_value expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN opportunity.opportunity_stage NOT IN ('closed_won', 'closed_lost') THEN (opportunity.opportunity_amount * opportunity.stage_probability) ELSE 0 END) description: Pipeline Value. Total value of open sales opportunities, weighted by stage probability unless stated as unweighted. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/pipeline-value. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"pipeline_value\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount * field.stage_probability where field.opportunity_stage not in ('closed_won', 'closed_lost'))\"}" - name: gasp_pipeline_value_unweighted expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN opportunity.opportunity_stage NOT IN ('closed_won', 'closed_lost') THEN opportunity.opportunity_amount ELSE 0 END) description: Pipeline Value, unweighted variant. Total value of open sales opportunities, weighted by stage probability unless stated as unweighted. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/pipeline-value. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"pipeline_value\",\"gasp_version\":\"1\",\"variant\":\"unweighted\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.opportunity_stage not in ('closed_won', 'closed_lost'))\"}" - name: gasp_pipeline_coverage expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN opportunity.opportunity_stage NOT IN ('closed_won', 'closed_lost') THEN opportunity.opportunity_amount ELSE 0 END) AS DECIMAL) / NULLIF(SUM(sales_rep.quota), 0)) description: Pipeline Coverage Ratio. The ratio of unweighted pipeline value to quota for the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/pipeline-coverage-ratio. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"pipeline_coverage\",\"gasp_version\":\"1\",\"unit\":\"ratio\",\"formula\":\"sum(field.opportunity_amount where field.opportunity_stage not in ('closed_won', 'closed_lost')) / sum(field.quota)\"}" - name: gasp_pipeline_velocity expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_pipeline_velocity.value) description: Pipeline Velocity. The speed at which pipeline converts to revenue. Also called Sales Velocity or Deal Velocity. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/pipeline-velocity. Staged (period bound in filter): gasp_staged_gasp_pipeline_velocity holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"pipeline_velocity\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"count(field.opportunity_id where field.opportunity_stage not in ('closed_won', 'closed_lost')) * metric.win_rate * metric.average_deal_size / metric.sales_cycle\",\"staged\":true}" - name: gasp_win_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_win_rate.value) description: Win Rate. The percentage of qualified opportunities closed in the period that were won. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/win-rate. Staged (period bound in filter): gasp_staged_gasp_win_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"win_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.opportunity_id where field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count(field.opportunity_id where field.opportunity_stage in ('closed_won', 'closed_lost') and in_period(field.close_date))\",\"staged\":true}" - name: gasp_win_rate_by_channel expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_win_rate_by_channel.value) description: Win Rate, by_channel breakdown. The percentage of qualified opportunities closed in the period that were won. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/win-rate. Broken down by channel: report one value per channel. Staged (period bound in filter): gasp_staged_gasp_win_rate_by_channel holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"win_rate\",\"gasp_version\":\"1\",\"variant\":\"by_channel\",\"unit\":\"percent\",\"formula\":\"count(field.opportunity_id where field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count(field.opportunity_id where field.opportunity_stage in ('closed_won', 'closed_lost') and in_period(field.close_date))\",\"gasp_breakdown\":\"channel\",\"staged\":true}" - name: gasp_lead_to_opportunity_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_lead_to_opportunity_rate.value) description: Lead-to-Opportunity Rate. The percentage of leads that become qualified opportunities. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/lead-to-opportunity-rate. Staged (period bound in filter): gasp_staged_gasp_lead_to_opportunity_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"lead_to_opportunity_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.opportunity_id where in_period(field.opportunity_created_date)) / count_distinct(field.lead_id where in_period(field.lead_created_date))","staged":true}' - name: gasp_opportunity_to_close_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_opportunity_to_close_rate.value) description: Opportunity-to-Close Rate. The percentage of qualified opportunities that close as won. Also called Close Rate. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/opportunity-to-close-rate. Staged (period bound in filter): gasp_staged_gasp_opportunity_to_close_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"opportunity_to_close_rate","gasp_version":"1","unit":"percent","formula":"metric.win_rate","staged":true}' - name: gasp_acv expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(CASE WHEN contract_event.contract_event_type = 'new_contract' THEN contract_event.acv END) description: ACV (Annual Contract Value). The annualized value of a contract, normalizing multi-year deals to a single year. Aggregated, it is the average ACV of new contracts signed in the period. datatype: Decimal ai_context: synonyms: - ACV instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/acv-annual-contract-value." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"acv\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"avg(field.acv where field.contract_event_type = 'new_contract')\"}" - name: gasp_average_deal_size expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_average_deal_size.value) description: Average Deal Size. The average total value of deals won in the period (total contract value, not annualized). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/average-deal-size. Staged (period bound in filter): gasp_staged_gasp_average_deal_size holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"average_deal_size\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count(field.opportunity_id where field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_sales_cycle expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_sales_cycle.value) description: Sales Cycle Length. The average time from opportunity creation to close. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/sales-cycle-length. Staged (period bound in filter): gasp_staged_gasp_sales_cycle holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"sales_cycle\",\"gasp_version\":\"1\",\"unit\":\"days\",\"formula\":\"avg(field.close_date - field.opportunity_created_date where field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_sales_cycle_median expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_sales_cycle_median.value) description: Sales Cycle Length, median variant. The average time from opportunity creation to close. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/sales-cycle-length. Staged (period bound in filter): gasp_staged_gasp_sales_cycle_median holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"sales_cycle\",\"gasp_version\":\"1\",\"variant\":\"median\",\"unit\":\"days\",\"formula\":\"median(field.close_date - field.opportunity_created_date where field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_quota_attainment expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(sales_rep.closed_revenue) AS DECIMAL) / NULLIF(SUM(sales_rep.quota), 0)) description: Quota Attainment. The percentage of quota achieved by a rep or team. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/quota-attainment." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"quota_attainment","gasp_version":"1","unit":"percent","formula":"sum(field.closed_revenue) / sum(field.quota)"}' - name: gasp_quota_attainment_mean_of_reps expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG((CAST(sales_rep.closed_revenue AS DECIMAL) / NULLIF(sales_rep.quota, 0))) description: Quota Attainment, mean_of_reps variant. The percentage of quota achieved by a rep or team. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/quota-attainment." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"quota_attainment","gasp_version":"1","variant":"mean_of_reps","unit":"percent","formula":"avg(field.closed_revenue / field.quota)"}' - name: gasp_revenue_per_rep expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(sales_rep.closed_revenue) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN sales_rep.quota > 0 THEN sales_rep.rep_id END), 0)) description: Revenue per Rep. New revenue closed in the period divided by the number of quota-carrying reps. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/revenue-per-rep." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"revenue_per_rep","gasp_version":"1","unit":"currency","formula":"sum(field.closed_revenue) / count_distinct(field.rep_id where field.quota > 0)"}' - name: gasp_ramp_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(AVG(DATEDIFF(day, sales_rep.hire_date, sales_rep.ramped_date)) AS DECIMAL) / 30.4375) description: Ramp Time. Time for a new sales rep to reach full productivity (carrying full quota). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/sales/ramp-time." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ramp_time","gasp_version":"1","unit":"months","formula":"(avg(field.ramped_date - field.hire_date)) / 30.4375"}' - name: gasp_services_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN financials.revenue_type = 'services' THEN financials.revenue ELSE 0 END) description: Services Revenue. Revenue from professional services (implementation, consulting, training). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/services-revenue." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"services_revenue\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.revenue where field.revenue_type = 'services')\"}" - name: gasp_services_as_of_total_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((SUM(CASE WHEN financials.revenue_type = 'services' THEN financials.revenue ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0)) description: Services as % of Total Revenue. Professional services contribution to total revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/services-as-of-total-revenue." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"services_as_of_total_revenue","gasp_version":"1","unit":"percent","formula":"metric.services_revenue / sum(field.revenue)"}' - name: gasp_services_attach_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_services_attach_rate.value) description: Services Attach Rate. Percentage of product deals that include services. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/services-attach-rate. Staged (period bound in filter): gasp_staged_gasp_services_attach_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"services_attach_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.opportunity_id where field.includes_services = true and field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count_distinct(field.opportunity_id where field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_average_services_deal_size expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN opportunity.revenue_type = 'services' THEN opportunity.opportunity_amount ELSE 0 END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN opportunity.revenue_type = 'services' THEN opportunity.opportunity_id END), 0)) description: Average Services Deal Size. Average value of services engagements. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/average-services-deal-size. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"average_services_deal_size\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.revenue_type = 'services') / count_distinct(field.opportunity_id where field.revenue_type = 'services')\"}" - name: gasp_services_backlog expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_services_backlog.value) description: Services Backlog. Contracted services not yet delivered. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/services-backlog. Staged (to_date): gasp_staged_gasp_services_backlog holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"services_backlog\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.revenue_type = 'services' and field.opportunity_stage = 'closed_won') to_date - metric.services_revenue to_date\",\"staged\":true}" - name: gasp_services_gross_margin expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(((SUM(CASE WHEN financials.revenue_type = 'services' THEN financials.revenue ELSE 0 END)) - SUM(CASE WHEN cost_event.cost_function = 'services_delivery' THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF((SUM(CASE WHEN financials.revenue_type = 'services' THEN financials.revenue ELSE 0 END)), 0)) description: Services Gross Margin. Services revenue minus direct delivery costs. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/services-gross-margin." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"services_gross_margin\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"(metric.services_revenue - sum(field.cost where field.cost_function = 'services_delivery')) / metric.services_revenue\"}" - name: gasp_project_margin expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_project_margin.value) description: Project Margin. Gross margin on individual projects. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/project-margin. Staged (period bound in filter): gasp_staged_gasp_project_margin holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"project_margin","gasp_version":"1","unit":"percent","formula":"(sum(field.project_revenue where in_period(field.project_completion_date)) - sum(field.project_cost where in_period(field.project_completion_date))) / sum(field.project_revenue where in_period(field.project_completion_date))","staged":true}' - name: gasp_realization_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(time_entry.billed_revenue) AS DECIMAL) / NULLIF(SUM((time_entry.billed_hours * time_entry.standard_rate)), 0)) description: Realization Rate. Actual revenue realized vs potential revenue at standard rates. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/realization-rate." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"realization_rate","gasp_version":"1","unit":"percent","formula":"sum(field.billed_revenue) / sum(field.billed_hours * field.standard_rate)"}' - name: gasp_write_off_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(time_entry.written_off_hours) AS DECIMAL) / NULLIF(SUM(time_entry.billed_hours), 0)) description: Write-off Rate. Percentage of billable hours written off (not billed to client). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/write-off-rate." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"write_off_rate","gasp_version":"1","unit":"percent","formula":"sum(field.written_off_hours) / sum(field.billed_hours)"}' - name: gasp_billable_utilization expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN time_entry.time_entry_type = 'billable' THEN time_entry.hours ELSE 0 END) AS DECIMAL) / NULLIF(SUM(consultant.available_hours), 0)) description: Billable Utilization. Percentage of available time spent on billable work. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/billable-utilization." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"billable_utilization\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.hours where field.time_entry_type = 'billable') / sum(field.available_hours)\"}" - name: gasp_total_utilization expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN time_entry.time_entry_type IN ('billable', 'training', 'pre_sales', 'internal') THEN time_entry.hours ELSE 0 END) AS DECIMAL) / NULLIF(SUM(consultant.available_hours), 0)) description: Total Utilization. Percentage of time spent on all productive work (billable + non-billable). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/total-utilization." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"total_utilization\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.hours where field.time_entry_type in ('billable', 'training', 'pre_sales', 'internal')) / sum(field.available_hours)\"}" - name: gasp_bench_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN project.project_id IS NULL THEN project.consultant_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT consultant.consultant_id), 0)) description: Bench Rate. Percentage of team without billable assignment. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/bench-rate. Reads the project snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"bench_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.consultant_id where field.project_id is null) / count_distinct(field.consultant_id)"}' - name: gasp_capacity expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(consultant.available_hours) description: Capacity. Total billable hours available in period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/capacity." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"capacity","gasp_version":"1","unit":"hours","formula":"sum(field.available_hours)"}' - name: gasp_capacity_utilization expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(project.hours_budgeted) AS DECIMAL) / NULLIF((SUM(consultant.available_hours)), 0)) description: Capacity Utilization. Billable hours sold vs available. Hours booked are the budgeted hours on sold projects. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/capacity-utilization. Reads the project snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"capacity_utilization","gasp_version":"1","unit":"percent","formula":"sum(field.hours_budgeted) / metric.capacity"}' - name: gasp_on_time_delivery expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_on_time_delivery.value) description: On-Time Delivery. Percentage of projects delivered by committed date. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/on-time-delivery. Staged (period bound in filter): gasp_staged_gasp_on_time_delivery holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"on_time_delivery","gasp_version":"1","unit":"percent","formula":"count_distinct(field.project_id where in_period(field.project_completion_date) and field.project_completion_date <= field.target_date) / count_distinct(field.project_id where in_period(field.project_completion_date))","staged":true}' - name: gasp_on_budget_delivery expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_on_budget_delivery.value) description: On-Budget Delivery. Percentage of projects completed in the period within their budgeted hours. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/on-budget-delivery. Staged (period bound in filter): gasp_staged_gasp_on_budget_delivery holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"on_budget_delivery","gasp_version":"1","unit":"percent","formula":"count_distinct(field.project_id where in_period(field.project_completion_date) and field.hours_actual <= field.hours_budgeted) / count_distinct(field.project_id where in_period(field.project_completion_date))","staged":true}' - name: gasp_scope_change_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN project.scope_changed = TRUE THEN project.project_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT project.project_id), 0)) description: Scope Change Rate. Percentage of projects with scope changes. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/scope-change-rate. Reads the project snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"scope_change_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.project_id where field.scope_changed = true) / count_distinct(field.project_id)"}' - name: gasp_project_duration_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_project_duration_accuracy.value) description: Project Duration Accuracy. Actual duration vs estimated duration. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/project-duration-accuracy. Staged (period bound in filter): gasp_staged_gasp_project_duration_accuracy holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"project_duration_accuracy","gasp_version":"1","unit":"percent","formula":"avg((field.target_date - field.project_start_date) / (field.project_completion_date - field.project_start_date) where in_period(field.project_completion_date))","staged":true}' - name: gasp_project_csat expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN (survey_response.survey_type = 'project' AND survey_response.satisfaction_score >= 4) THEN survey_response.satisfaction_score END) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'project' THEN survey_response.satisfaction_score END), 0)) description: Project CSAT. Customer satisfaction with services engagement. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/project-csat." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"project_csat\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.satisfaction_score where field.survey_type = 'project' and field.satisfaction_score >= 4) / count(field.satisfaction_score where field.survey_type = 'project')\"}" - name: gasp_project_nps expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((CAST((COUNT(CASE WHEN (survey_response.survey_type = 'project' AND survey_response.nps_score >= 9) THEN survey_response.nps_score END) - COUNT(CASE WHEN (survey_response.survey_type = 'project' AND survey_response.nps_score <= 6) THEN survey_response.nps_score END)) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'project' THEN survey_response.nps_score END), 0)) * 100) description: Project NPS. Net Promoter Score for services experience. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/project-nps." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"project_nps\",\"gasp_version\":\"1\",\"unit\":\"score\",\"formula\":\"(count(field.nps_score where field.survey_type = 'project' and field.nps_score >= 9) - count(field.nps_score where field.survey_type = 'project' and field.nps_score <= 6)) / count(field.nps_score where field.survey_type = 'project') * 100\"}" - name: gasp_rework_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN deliverable.reworked = TRUE THEN deliverable.deliverable_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT deliverable.deliverable_id), 0)) description: Rework Rate. Percentage of deliverables requiring rework. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/rework-rate. Reads the deliverable snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"rework_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.deliverable_id where field.reworked = true) / count_distinct(field.deliverable_id)"}' - name: gasp_reference_ability expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_reference_ability.value) description: Reference-ability. Percentage of completed projects that become referenceable. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/reference-ability. Staged (period bound in filter): gasp_staged_gasp_reference_ability holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"reference_ability","gasp_version":"1","unit":"percent","formula":"count_distinct(field.project_id where in_period(field.project_completion_date) and field.referenceable = true) / count_distinct(field.project_id where in_period(field.project_completion_date))","staged":true}' - name: gasp_revenue_per_consultant expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((SUM(CASE WHEN financials.revenue_type = 'services' THEN financials.revenue ELSE 0 END)) AS DECIMAL) / NULLIF(COUNT(DISTINCT consultant.consultant_id), 0)) description: Revenue per Consultant. Services revenue per delivery resource. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/revenue-per-consultant." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"revenue_per_consultant","gasp_version":"1","unit":"currency","formula":"metric.services_revenue / count_distinct(field.consultant_id)"}' - name: gasp_projects_per_consultant expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_projects_per_consultant.value) description: Projects per Consultant. Average projects completed per consultant in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/projects-per-consultant. Staged (period bound in filter): gasp_staged_gasp_projects_per_consultant holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"projects_per_consultant","gasp_version":"1","unit":"ratio","formula":"count_distinct(field.project_id where in_period(field.project_completion_date)) / count_distinct(field.consultant_id where in_period(field.project_completion_date))","staged":true}' - name: gasp_average_project_duration expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_average_project_duration.value) description: Average Project Duration. Average length, in days, of projects completed in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/average-project-duration. Staged (period bound in filter): gasp_staged_gasp_average_project_duration holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"average_project_duration","gasp_version":"1","unit":"days","formula":"avg(field.project_completion_date - field.project_start_date where in_period(field.project_completion_date))","staged":true}' - name: gasp_services_pipeline expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN (opportunity.revenue_type = 'services' AND opportunity.opportunity_stage NOT IN ('closed_won', 'closed_lost')) THEN opportunity.opportunity_amount ELSE 0 END) description: Services Pipeline. Value of services opportunities in pipeline. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/services-pipeline. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"services_pipeline\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.revenue_type = 'services' and field.opportunity_stage not in ('closed_won', 'closed_lost')) at period_end\"}" - name: gasp_services_win_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_services_win_rate.value) description: Services Win Rate. Percentage of services opportunities won. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/services-win-rate. Staged (period bound in filter): gasp_staged_gasp_services_win_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"services_win_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.opportunity_id where field.revenue_type = 'services' and field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count_distinct(field.opportunity_id where field.revenue_type = 'services' and field.opportunity_stage in ('closed_won', 'closed_lost') and in_period(field.close_date))\",\"staged\":true}" - name: gasp_time_to_start expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_time_to_start.value) description: Time to Start. Time from services sold to project kickoff. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/time-to-start. Staged (period bound in filter): gasp_staged_gasp_time_to_start holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_to_start","gasp_version":"1","unit":"days","formula":"median(field.project_start_date - field.close_date where in_period(field.project_start_date))","staged":true}' - name: gasp_ticket_volume expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT ticket.ticket_id) description: Ticket Volume. Total number of support tickets received in a period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/ticket-volume." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ticket_volume","gasp_version":"1","unit":"count","formula":"count_distinct(field.ticket_id)"}' - name: gasp_ticket_volume_by_ticket_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT ticket.ticket_id) description: Ticket Volume, by_ticket_type breakdown. Total number of support tickets received in a period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/ticket-volume. Broken down by ticket_type: report one value per ticket_type by grouping on the ticket_type field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ticket_volume","gasp_version":"1","variant":"by_ticket_type","unit":"count","formula":"count_distinct(field.ticket_id)","gasp_breakdown":"ticket_type"}' - name: gasp_tickets_per_customer expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((COUNT(DISTINCT ticket.ticket_id)) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END), 0)) description: Tickets per Customer. Average tickets created per active customer. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/tickets-per-customer. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"tickets_per_customer\",\"gasp_version\":\"1\",\"unit\":\"ratio\",\"formula\":\"metric.ticket_volume / count_distinct(field.customer_id where field.customer_status = 'active') at period_end\"}" - name: gasp_ticket_backlog expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ticket_backlog.value) description: Ticket Backlog. Number of tickets open or pending at the end of the period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/ticket-backlog. Staged (to_date): gasp_staged_gasp_ticket_backlog holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"ticket_backlog\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.ticket_id where field.ticket_status in ('open', 'pending')) at period_end\",\"staged\":true}" - name: gasp_ticket_distribution_by_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_ticket_distribution_by_type.value) description: Ticket Distribution by Type. Breakdown of tickets by category. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/ticket-distribution-by-type. Broken down by ticket_type: report one value per ticket_type. Staged (total): gasp_staged_gasp_ticket_distribution_by_type holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ticket_distribution_by_type","gasp_version":"1","unit":"percent","formula":"count_distinct(field.ticket_id) / total(metric.ticket_volume)","gasp_breakdown":"ticket_type","staged":true}' - name: gasp_frt expression: dialects: - dialect: OSSIE_SQL_2026 expression: (MEDIAN((DATEDIFF(second, ticket.created_at, ticket.first_response_at) / 86400.0)) * 1440) description: First Response Time (FRT). Time from ticket creation to first human response. datatype: Decimal ai_context: synonyms: - FRT instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/first-response-time-frt." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"frt","gasp_version":"1","unit":"minutes","formula":"(median(field.first_response_at - field.created_at)) * 1440"}' - name: gasp_first_response_sla_adherence expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN ticket.first_response_at <= ticket.first_response_due_at THEN ticket.ticket_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT ticket.ticket_id), 0)) description: First Response SLA Adherence. Percentage of tickets meeting FRT SLA target. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/first-response-sla-adherence." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"first_response_sla_adherence","gasp_version":"1","unit":"percent","formula":"count_distinct(field.ticket_id where field.first_response_at <= field.first_response_due_at) / count_distinct(field.ticket_id)"}' - name: gasp_resolution_time_time_to_resolution expression: dialects: - dialect: OSSIE_SQL_2026 expression: (MEDIAN((DATEDIFF(second, ticket.created_at, ticket.resolved_at) / 86400.0)) * 24) description: Resolution Time (Time to Resolution). Time from ticket creation to final resolution. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/resolution-time-time-to-resolution." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"resolution_time_time_to_resolution","gasp_version":"1","unit":"hours","formula":"(median(field.resolved_at - field.created_at)) * 24"}' - name: gasp_resolution_time_time_to_resolution_by_ticket_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: (MEDIAN((DATEDIFF(second, ticket.created_at, ticket.resolved_at) / 86400.0)) * 24) description: Resolution Time (Time to Resolution), by_ticket_type breakdown. Time from ticket creation to final resolution. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/resolution-time-time-to-resolution. Broken down by ticket_type: report one value per ticket_type by grouping on the ticket_type field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"resolution_time_time_to_resolution","gasp_version":"1","variant":"by_ticket_type","unit":"hours","formula":"(median(field.resolved_at - field.created_at)) * 24","gasp_breakdown":"ticket_type"}' - name: gasp_first_contact_resolution_fcr expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN ticket.resolved_first_contact = TRUE THEN ticket.ticket_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT ticket.ticket_id), 0)) description: First Contact Resolution (FCR). Percentage of tickets resolved in a single interaction. datatype: Decimal ai_context: synonyms: - FCR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/first-contact-resolution-fcr." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"first_contact_resolution_fcr","gasp_version":"1","unit":"percent","formula":"count_distinct(field.ticket_id where field.resolved_first_contact = true) / count_distinct(field.ticket_id)"}' - name: gasp_resolution_sla_adherence expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN ticket.resolved_at <= ticket.resolution_due_at THEN ticket.ticket_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT ticket.ticket_id), 0)) description: Resolution SLA Adherence. Percentage of tickets resolved within SLA timeframe. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/resolution-sla-adherence." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"resolution_sla_adherence","gasp_version":"1","unit":"percent","formula":"count_distinct(field.ticket_id where field.resolved_at <= field.resolution_due_at) / count_distinct(field.ticket_id)"}' - name: gasp_reopen_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN ticket.reopened = TRUE THEN ticket.ticket_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN ticket.ticket_status = 'resolved' THEN ticket.ticket_id END), 0)) description: Reopen Rate. Percentage of resolved tickets that are reopened. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/reopen-rate." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"reopen_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.ticket_id where field.reopened = true) / count_distinct(field.ticket_id where field.ticket_status = 'resolved')\"}" - name: gasp_csat expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN (survey_response.survey_type = 'customer' AND survey_response.satisfaction_score >= 4) THEN survey_response.satisfaction_score END) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'customer' THEN survey_response.satisfaction_score END), 0)) description: Customer Satisfaction Score (CSAT). Customer rating of support interaction. datatype: Decimal ai_context: synonyms: - CSAT instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/customer-satisfaction-score-csat." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"csat\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.satisfaction_score where field.survey_type = 'customer' and field.satisfaction_score >= 4) / count(field.satisfaction_score where field.survey_type = 'customer')\"}" - name: gasp_customer_effort_score_ces expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(survey_response.ces_score) description: Customer Effort Score (CES). How easy it was for the customer to get help. datatype: Decimal ai_context: synonyms: - CES instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/customer-effort-score-ces." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"customer_effort_score_ces","gasp_version":"1","unit":"score","formula":"avg(field.ces_score)"}' - name: gasp_customer_effort_score_ces_percent expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN survey_response.ces_score >= 5 THEN survey_response.ces_score END) AS DECIMAL) / NULLIF(COUNT(survey_response.ces_score), 0)) description: Customer Effort Score (CES), percent variant. How easy it was for the customer to get help. datatype: Decimal ai_context: synonyms: - CES instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/customer-effort-score-ces." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"customer_effort_score_ces","gasp_version":"1","variant":"percent","unit":"score","formula":"count(field.ces_score where field.ces_score >= 5) / count(field.ces_score)"}' - name: gasp_tickets_per_agent expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT ticket.ticket_id) AS DECIMAL) / NULLIF(COUNT(DISTINCT ticket.agent_id), 0)) description: Tickets per Agent. Average tickets handled per support agent. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/tickets-per-agent." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"tickets_per_agent","gasp_version":"1","unit":"ratio","formula":"count_distinct(field.ticket_id) / count_distinct(field.agent_id)"}' - name: gasp_cost_per_ticket expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function = 'support' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN ticket.ticket_status = 'resolved' THEN ticket.ticket_id END), 0)) description: Cost per Ticket. Total support cost divided by tickets resolved. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/cost-per-ticket." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cost_per_ticket\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'support') / count_distinct(field.ticket_id where field.ticket_status = 'resolved')\"}" - name: gasp_self_service_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(kb_article.deflections) AS DECIMAL) / NULLIF((SUM(kb_article.deflections) + (COUNT(DISTINCT ticket.ticket_id))), 0)) description: Self-Service Rate (Ticket Deflection). Percentage of support needs resolved through self-service. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/self-service-rate-ticket-deflection." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"self_service_rate","gasp_version":"1","unit":"percent","formula":"sum(field.deflections) / (sum(field.deflections) + metric.ticket_volume)"}' - name: gasp_logo_retention_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_logo_retention_rate.value) description: Logo Retention Rate. The percentage of customers retained over a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/logo-retention-rate. Staged (at period_start): gasp_staged_gasp_logo_retention_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"logo_retention_rate","gasp_version":"1","unit":"percent","formula":"1 - metric.logo_churn_rate","staged":true}' - name: gasp_logo_retention_rate_customer_counts expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_logo_retention_rate_customer_counts.value) description: Logo Retention Rate, customer_counts variant. The percentage of customers retained over a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/logo-retention-rate. Staged (at period_start): gasp_staged_gasp_logo_retention_rate_customer_counts holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"logo_retention_rate\",\"gasp_version\":\"1\",\"variant\":\"customer_counts\",\"unit\":\"percent\",\"formula\":\"(count_distinct(field.customer_id where field.customer_status = 'active') at period_end - count_distinct(field.customer_id where field.event_type = 'new')) / count_distinct(field.customer_id where field.customer_status = 'active') at period_start\",\"staged\":true}" - name: gasp_logo_retention_rate_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_logo_retention_rate_by_segment.value) description: Logo Retention Rate, by_segment breakdown. The percentage of customers retained over a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/logo-retention-rate. Broken down by segment: report one value per segment. Staged (at period_start): gasp_staged_gasp_logo_retention_rate_by_segment holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"logo_retention_rate","gasp_version":"1","variant":"by_segment","unit":"percent","formula":"1 - metric.logo_churn_rate","gasp_breakdown":"segment","staged":true}' - name: gasp_health_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(CASE WHEN customer.customer_status = 'active' THEN customer.composite_score END) description: Customer Health Score. A composite score predicting likelihood of retention or churn. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/customer-health-score. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"health_score\",\"gasp_version\":\"1\",\"unit\":\"score\",\"formula\":\"avg(field.composite_score where field.customer_status = 'active') at period_end\"}" - name: gasp_health_score_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(CASE WHEN customer.customer_status = 'active' THEN customer.composite_score END) description: Customer Health Score, by_segment breakdown. A composite score predicting likelihood of retention or churn. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/customer-health-score. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"health_score\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"score\",\"formula\":\"avg(field.composite_score where field.customer_status = 'active') at period_end\",\"gasp_breakdown\":\"segment\"}" - name: gasp_health_score_coverage expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN customer.composite_score IS NOT NULL THEN customer.customer_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END), 0)) description: Health Score Coverage. The percentage of active customers that have a health score. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/health-score-coverage. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"health_score_coverage\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.customer_id where field.composite_score is not null) / count_distinct(field.customer_id where field.customer_status = 'active')\"}" - name: gasp_health_score_coverage_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN customer.composite_score IS NOT NULL THEN customer.customer_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END), 0)) description: Health Score Coverage, by_segment breakdown. The percentage of active customers that have a health score. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/health-score-coverage. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"health_score_coverage\",\"gasp_version\":\"1\",\"variant\":\"by_segment\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.customer_id where field.composite_score is not null) / count_distinct(field.customer_id where field.customer_status = 'active')\",\"gasp_breakdown\":\"segment\"}" - name: gasp_at_risk_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN customer.composite_score < 40 THEN customer.customer_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.composite_score IS NOT NULL THEN customer.customer_id END), 0)) description: At-Risk Customer Rate. The percentage of customers flagged as at-risk. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/at-risk-customer-rate. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"at_risk_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.customer_id where field.composite_score < 40) / count_distinct(field.customer_id where field.composite_score is not null)"}' - name: gasp_at_risk_rate_entered_at_risk expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_at_risk_rate_entered_at_risk.value) description: At-Risk Customer Rate, entered_at_risk variant. The percentage of customers flagged as at-risk. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/at-risk-customer-rate. Staged (at period_start): gasp_staged_gasp_at_risk_rate_entered_at_risk holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"at_risk_rate\",\"gasp_version\":\"1\",\"variant\":\"entered_at_risk\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.customer_id where field.state_category = 'at_risk') / count_distinct(field.customer_id where field.customer_status = 'active') at period_start\",\"staged\":true}" - name: gasp_at_risk_rate_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN customer.composite_score < 40 THEN customer.customer_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.composite_score IS NOT NULL THEN customer.customer_id END), 0)) description: At-Risk Customer Rate, by_segment breakdown. The percentage of customers flagged as at-risk. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/at-risk-customer-rate. Broken down by segment: report one value per segment by grouping on the segment field of each dataset the expression reads. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"at_risk_rate","gasp_version":"1","variant":"by_segment","unit":"percent","formula":"count_distinct(field.customer_id where field.composite_score < 40) / count_distinct(field.customer_id where field.composite_score is not null)","gasp_breakdown":"segment"}' - name: gasp_qbr_completion expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN customer.qbr_completed = TRUE THEN customer.customer_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.qbr_due = TRUE THEN customer.customer_id END), 0)) description: Quarterly Business Review (QBR) Completion Rate. The percentage of eligible accounts that completed a QBR. datatype: Decimal ai_context: synonyms: - QBR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/quarterly-business-review-qbr-completion-rate. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"qbr_completion","gasp_version":"1","unit":"percent","formula":"count_distinct(field.customer_id where field.qbr_completed = true) / count_distinct(field.customer_id where field.qbr_due = true)"}' - name: gasp_executive_sponsor_coverage expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN (contact.contact_role = 'executive_sponsor' AND contact.contact_engaged = TRUE) THEN contact.customer_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END), 0)) description: Executive Sponsor Coverage. The percentage of active accounts with an engaged contact whose role is executive sponsor. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/executive-sponsor-coverage. Reads the contact and customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"executive_sponsor_coverage\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.customer_id where field.contact_role = 'executive_sponsor' and field.contact_engaged = true) / count_distinct(field.customer_id where field.customer_status = 'active')\"}" - name: gasp_contact_coverage expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN contact.contact_engaged = TRUE THEN contact.contact_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END), 0)) description: Contact Coverage. Average number of engaged contacts per active account. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/contact-coverage. Reads the contact and customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"contact_coverage\",\"gasp_version\":\"1\",\"unit\":\"ratio\",\"formula\":\"count_distinct(field.contact_id where field.contact_engaged = true) / count_distinct(field.customer_id where field.customer_status = 'active')\"}" - name: gasp_expansion_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_expansion_rate.value) description: Expansion Revenue Rate. Expansion MRR as a percentage of beginning MRR. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/expansion-revenue-rate. Staged (at period_start): gasp_staged_gasp_expansion_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"expansion_rate","gasp_version":"1","unit":"percent","formula":"metric.expansion_mrr / metric.mrr at period_start","staged":true}' - name: gasp_expansion_rate_by_segment expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_expansion_rate_by_segment.value) description: Expansion Revenue Rate, by_segment breakdown. Expansion MRR as a percentage of beginning MRR. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/expansion-revenue-rate. Broken down by segment: report one value per segment. Staged (at period_start): gasp_staged_gasp_expansion_rate_by_segment holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"expansion_rate","gasp_version":"1","variant":"by_segment","unit":"percent","formula":"metric.expansion_mrr / metric.mrr at period_start","gasp_breakdown":"segment","staged":true}' - name: gasp_license_utilization expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN license.license_status = 'active' THEN license.seats_assigned ELSE 0 END) AS DECIMAL) / NULLIF(SUM(CASE WHEN license.license_status = 'active' THEN license.seats_purchased ELSE 0 END), 0)) description: License Utilization. The share of purchased seats that are assigned to a user, across active licenses at period end. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/license-utilization. Reads the license snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"license_utilization\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.seats_assigned where field.license_status = 'active') / sum(field.seats_purchased where field.license_status = 'active')\"}" - name: gasp_license_utilization_by_product expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN license.license_status = 'active' THEN license.seats_assigned ELSE 0 END) AS DECIMAL) / NULLIF(SUM(CASE WHEN license.license_status = 'active' THEN license.seats_purchased ELSE 0 END), 0)) description: License Utilization, by_product breakdown. The share of purchased seats that are assigned to a user, across active licenses at period end. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/license-utilization. Broken down by product.product_name: report one value per product_name, joining each dataset the expression reads to product on product_id (the model's relationship) and grouping on product.product_name. Reads the license snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"license_utilization\",\"gasp_version\":\"1\",\"variant\":\"by_product\",\"unit\":\"percent\",\"formula\":\"sum(field.seats_assigned where field.license_status = 'active') / sum(field.seats_purchased where field.license_status = 'active')\",\"gasp_breakdown\":\"product.product_name\"}" - name: gasp_upsell_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_upsell_rate.value) description: Upsell Rate. The percentage of customers eligible for an upgrade at period start who upgraded in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/upsell-rate. Staged (at period_start): gasp_staged_gasp_upsell_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"upsell_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.customer_id where field.amendment_type = 'upgrade') / count_distinct(field.customer_id where field.upgrade_eligible = true) at period_start\",\"staged\":true}" - name: gasp_cross_sell_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cross_sell_rate.value) description: Cross-sell Rate. The percentage of customers active at period start who bought an additional product in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/cross-sell-rate. Staged (at period_start): gasp_staged_gasp_cross_sell_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cross_sell_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.customer_id where field.amendment_type = 'cross_sell') / count_distinct(field.customer_id where field.customer_status = 'active') at period_start\",\"staged\":true}" - name: gasp_renewal_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_renewal_rate.value) description: Renewal Rate. The percentage of subscriptions whose term ended in the period that renewed. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/renewal-rate. Staged (period bound in filter): gasp_staged_gasp_renewal_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"renewal_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.subscription_id where field.renewed = true and in_period(field.contract_end)) / count_distinct(field.subscription_id where in_period(field.contract_end))","staged":true}' - name: gasp_renewal_rate_by_value expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_renewal_rate_by_value.value) description: Renewal Rate, by_value variant. The percentage of subscriptions whose term ended in the period that renewed. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/renewal-rate. Staged (period bound in filter): gasp_staged_gasp_renewal_rate_by_value holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"renewal_rate","gasp_version":"1","variant":"by_value","unit":"percent","formula":"sum(field.renewal_amount where field.renewed = true and in_period(field.contract_end)) / sum(field.renewal_amount where in_period(field.contract_end))","staged":true}' - name: gasp_renewal_forecast_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_renewal_forecast_accuracy.value) description: Renewal Forecast Accuracy. How closely the forecast renewal value matched the value actually renewed, for contracts ending in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/renewal-forecast-accuracy. Staged (period bound in filter): gasp_staged_gasp_renewal_forecast_accuracy holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"renewal_forecast_accuracy","gasp_version":"1","unit":"percent","formula":"1 - abs(sum(field.forecast_renewal_amount where in_period(field.contract_end)) - sum(field.renewal_amount where in_period(field.contract_end) and field.renewed = true)) / sum(field.renewal_amount where in_period(field.contract_end) and field.renewed = true)","staged":true}' - name: gasp_days_to_renewal expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(DATEDIFF(day, subscription.snapshot_date, subscription.contract_end)) description: Days to Renewal. Average number of days until upcoming renewals. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/days-to-renewal. Reads the subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"days_to_renewal","gasp_version":"1","unit":"days","formula":"avg(field.contract_end - field.snapshot_date)"}' - name: gasp_accounts_per_csm expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT customer.customer_id) AS DECIMAL) / NULLIF(COUNT(DISTINCT customer.csm_id), 0)) description: Accounts per CSM. The number of accounts assigned to each Customer Success Manager. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/accounts-per-csm. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"accounts_per_csm","gasp_version":"1","unit":"ratio","formula":"count_distinct(field.customer_id) / count_distinct(field.csm_id)"}' - name: gasp_arr_per_csm expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) * 12)) AS DECIMAL) / NULLIF(COUNT(DISTINCT customer.csm_id), 0)) description: ARR per CSM. Total ARR managed by each CSM. datatype: Decimal ai_context: synonyms: - ARR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/customer-success/arr-per-csm. Reads the customer and subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"arr_per_csm","gasp_version":"1","unit":"currency","formula":"metric.arr / count_distinct(field.csm_id)"}' - name: gasp_pipeline_hygiene_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(((((CAST(COUNT(DISTINCT CASE WHEN opportunity.required_fields_complete = TRUE THEN opportunity.opportunity_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT opportunity.opportunity_id), 0)) + (CAST(COUNT(DISTINCT CASE WHEN opportunity.updated_within_sla = TRUE THEN opportunity.opportunity_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT opportunity.opportunity_id), 0))) + (CAST(COUNT(DISTINCT CASE WHEN opportunity.close_date_valid = TRUE THEN opportunity.opportunity_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT opportunity.opportunity_id), 0))) + (CAST(COUNT(DISTINCT CASE WHEN opportunity.stage_accurate = TRUE THEN opportunity.opportunity_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT opportunity.opportunity_id), 0))) AS DECIMAL) / 4) description: Pipeline Hygiene Score. Quality assessment of pipeline data and process adherence across open opportunities. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/pipeline-hygiene-score. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"pipeline_hygiene_score","gasp_version":"1","unit":"percent","formula":"(count_distinct(field.opportunity_id where field.required_fields_complete = true) / count_distinct(field.opportunity_id) + count_distinct(field.opportunity_id where field.updated_within_sla = true) / count_distinct(field.opportunity_id) + count_distinct(field.opportunity_id where field.close_date_valid = true) / count_distinct(field.opportunity_id) + count_distinct(field.opportunity_id where field.stage_accurate = true) / count_distinct(field.opportunity_id)) / 4"}' - name: gasp_forecast_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: (1 - (CAST(ABS((SUM(forecast.forecasted_revenue) - SUM(forecast.actual_revenue))) AS DECIMAL) / NULLIF(SUM(forecast.actual_revenue), 0))) description: Forecast Accuracy. How closely forecasted revenue matched actual revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/forecast-accuracy." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"forecast_accuracy","gasp_version":"1","unit":"percent","formula":"1 - abs(sum(field.forecasted_revenue) - sum(field.actual_revenue)) / sum(field.actual_revenue)"}' - name: gasp_commit_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_commit_accuracy.value) description: Commit Accuracy. Percentage of committed deals that close. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/commit-accuracy. Staged (period bound in filter): gasp_staged_gasp_commit_accuracy holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"commit_accuracy\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.opportunity_id where field.forecast_category = 'commit' and field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / count_distinct(field.opportunity_id where field.forecast_category = 'commit')\",\"staged\":true}" - name: gasp_stage_conversion_rates expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN opportunity.advanced_to_next_stage = TRUE THEN opportunity.opportunity_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT opportunity.opportunity_id), 0)) description: Stage Conversion Rates. Conversion rate between each pipeline stage. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/stage-conversion-rates. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"stage_conversion_rates","gasp_version":"1","unit":"percent","formula":"count_distinct(field.opportunity_id where field.advanced_to_next_stage = true) / count_distinct(field.opportunity_id)"}' - name: gasp_quote_volume expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_quote_volume.value) description: Quote Volume. Number of quotes sent in a period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/quote-volume. Staged (period bound in filter): gasp_staged_gasp_quote_volume holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"quote_volume","gasp_version":"1","unit":"count","formula":"count_distinct(field.quote_id where in_period(field.quote_sent_at))","staged":true}' - name: gasp_quote_to_order_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_quote_to_order_rate.value) description: Quote-to-Order Rate. Percentage of quotes that convert to orders. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/quote-to-order-rate. Staged (period bound in filter): gasp_staged_gasp_quote_to_order_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"quote_to_order_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.order_id where in_period(field.order_completed_at)) / count_distinct(field.quote_id where in_period(field.quote_sent_at))","staged":true}' - name: gasp_quote_cycle_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_quote_cycle_time.value) description: Quote Cycle Time. Time from quote request to quote delivery. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/quote-cycle-time. Staged (period bound in filter): gasp_staged_gasp_quote_cycle_time holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"quote_cycle_time","gasp_version":"1","unit":"hours","formula":"(median(field.quote_sent_at - field.quote_requested_at where in_period(field.quote_sent_at))) * 24","staged":true}' - name: gasp_quote_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_quote_accuracy.value) description: Quote Accuracy. Percentage of quotes requiring no revision. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/quote-accuracy. Staged (period bound in filter): gasp_staged_gasp_quote_accuracy holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"quote_accuracy","gasp_version":"1","unit":"percent","formula":"count_distinct(field.quote_id where in_period(field.quote_sent_at) and field.revision_count = 0) / count_distinct(field.quote_id where in_period(field.quote_sent_at))","staged":true}' - name: gasp_discount_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_discount_rate.value) description: Discount Rate. Discount off list price across quotes sent in the period, weighted by list price. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/discount-rate. Staged (period bound in filter): gasp_staged_gasp_discount_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"discount_rate","gasp_version":"1","unit":"percent","formula":"(sum(field.list_price where in_period(field.quote_sent_at)) - sum(field.quoted_price where in_period(field.quote_sent_at))) / sum(field.list_price where in_period(field.quote_sent_at))","staged":true}' - name: gasp_order_to_activation_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_order_to_activation_time.value) description: Order-to-Activation Time. Time from signed order to customer activation/provisioning. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/order-to-activation-time. Staged (period bound in filter): gasp_staged_gasp_order_to_activation_time holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"order_to_activation_time","gasp_version":"1","unit":"days","formula":"median(field.activation_date - field.acquisition_date where in_period(field.activation_date))","staged":true}' - name: gasp_order_processing_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_order_processing_time.value) description: Order Processing Time. Time to process an order through internal systems. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/order-processing-time. Staged (period bound in filter): gasp_staged_gasp_order_processing_time holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"order_processing_time","gasp_version":"1","unit":"hours","formula":"(median(field.order_completed_at - field.order_received_at where in_period(field.order_completed_at))) * 24","staged":true}' - name: gasp_order_error_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_order_error_rate.value) description: Order Error Rate. Percentage of orders with processing errors. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/order-error-rate. Staged (period bound in filter): gasp_staged_gasp_order_error_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"order_error_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.order_id where in_period(field.order_completed_at) and field.has_error = true) / count_distinct(field.order_id where in_period(field.order_completed_at))","staged":true}' - name: gasp_billing_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_billing_accuracy.value) description: Billing Accuracy. Percentage of invoices generated correctly on first attempt. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/billing-accuracy. Staged (period bound in filter): gasp_staged_gasp_billing_accuracy holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"billing_accuracy","gasp_version":"1","unit":"percent","formula":"count_distinct(field.invoice_id where in_period(field.invoice_date) and field.invoice_corrected = false) / count_distinct(field.invoice_id where in_period(field.invoice_date))","staged":true}' - name: gasp_invoice_cycle_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_invoice_cycle_time.value) description: Invoice Cycle Time. Time from billing event to invoice delivery. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/invoice-cycle-time. Staged (period bound in filter): gasp_staged_gasp_invoice_cycle_time holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"invoice_cycle_time","gasp_version":"1","unit":"days","formula":"median(field.invoice_date - field.billing_trigger_date where in_period(field.invoice_date))","staged":true}' - name: gasp_billing_disputes expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_billing_disputes.value) description: Billing Disputes. Percentage of invoices disputed by customers. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/billing-disputes. Staged (period bound in filter): gasp_staged_gasp_billing_disputes holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"billing_disputes","gasp_version":"1","unit":"percent","formula":"count_distinct(field.invoice_id where in_period(field.invoice_date) and field.invoice_disputed = true) / count_distinct(field.invoice_id where in_period(field.invoice_date))","staged":true}' - name: gasp_billing_disputes_by_payment_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_billing_disputes_by_payment_status.value) description: Billing Disputes, by_payment_status breakdown. Percentage of invoices disputed by customers. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/billing-disputes. Broken down by payment_status: report one value per payment_status. Staged (period bound in filter): gasp_staged_gasp_billing_disputes_by_payment_status holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"billing_disputes","gasp_version":"1","variant":"by_payment_status","unit":"percent","formula":"count_distinct(field.invoice_id where in_period(field.invoice_date) and field.invoice_disputed = true) / count_distinct(field.invoice_id where in_period(field.invoice_date))","gasp_breakdown":"payment_status","staged":true}' - name: gasp_credit_memo_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_credit_memo_rate.value) description: Credit Memo Rate. Percentage of invoices requiring credit memos. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/credit-memo-rate. Staged (period bound in filter): gasp_staged_gasp_credit_memo_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"credit_memo_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.invoice_id where in_period(field.invoice_date) and field.credit_memo_count > 0) / count_distinct(field.invoice_id where in_period(field.invoice_date))","staged":true}' - name: gasp_dso expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_dso.value) description: Days Sales Outstanding (DSO). Average days to collect payment after invoicing. datatype: Decimal ai_context: synonyms: - DSO instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/days-sales-outstanding-dso. Staged (period_days): gasp_staged_gasp_dso holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"dso","gasp_version":"1","unit":"days","formula":"sum(field.accounts_receivable) at period_end / metric.revenue_gaap * period_days","staged":true}' - name: gasp_collection_effectiveness_index_cei expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_collection_effectiveness_index_cei.value) description: Collection Effectiveness Index (CEI). The share of collectible receivables actually collected in the period. Billings stand in for credit sales. Current AR is receivables aged 30 days or less. datatype: Decimal ai_context: synonyms: - CEI instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/collection-effectiveness-index-cei. Staged (at period_start): gasp_staged_gasp_collection_effectiveness_index_cei holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"collection_effectiveness_index_cei","gasp_version":"1","unit":"percent","formula":"(sum(field.accounts_receivable) at period_start + sum(field.invoice_amount where in_period(field.invoice_date)) - sum(field.accounts_receivable) at period_end) / (sum(field.accounts_receivable) at period_start + sum(field.invoice_amount where in_period(field.invoice_date)) - sum(field.outstanding_amount where (field.snapshot_date - field.invoice_date) <= 30) at period_end)","staged":true}' - name: gasp_aging_buckets expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_aging_buckets.value) description: Aging Buckets. Distribution of receivables by age. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/aging-buckets. Broken down by bucket: report one value per bucket. Staged (bucket): gasp_staged_gasp_aging_buckets holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"aging_buckets","gasp_version":"1","unit":"percent","formula":"sum(field.outstanding_amount) / total(sum(field.outstanding_amount))","gasp_breakdown":"bucket","staged":true}' - name: gasp_accounts_receivable_balance expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN invoice.outstanding_amount > 0 THEN invoice.outstanding_amount ELSE 0 END) description: Accounts Receivable Balance. Total amount outstanding on open invoices at period end. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/accounts-receivable-balance. Reads the invoice snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"accounts_receivable_balance","gasp_version":"1","unit":"currency","formula":"sum(field.outstanding_amount where field.outstanding_amount > 0) at period_end"}' - name: gasp_accounts_receivable_balance_by_payment_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN invoice.outstanding_amount > 0 THEN invoice.outstanding_amount ELSE 0 END) description: Accounts Receivable Balance, by_payment_status breakdown. Total amount outstanding on open invoices at period end. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/accounts-receivable-balance. Broken down by payment_status: report one value per payment_status by grouping on the payment_status field of each dataset the expression reads. Reads the invoice snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"accounts_receivable_balance","gasp_version":"1","variant":"by_payment_status","unit":"currency","formula":"sum(field.outstanding_amount where field.outstanding_amount > 0) at period_end","gasp_breakdown":"payment_status"}' - name: gasp_bad_debt_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(financials.bad_debt_expense) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: Bad Debt Rate. Percentage of revenue written off as uncollectable. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/bad-debt-rate." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"bad_debt_rate","gasp_version":"1","unit":"percent","formula":"sum(field.bad_debt_expense) / metric.revenue_gaap"}' - name: gasp_payment_method_distribution expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_payment_method_distribution.value) description: Payment Method Distribution. Breakdown of payments by method. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/payment-method-distribution. Broken down by payment_method: report one value per payment_method. Staged (total): gasp_staged_gasp_payment_method_distribution holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"payment_method_distribution","gasp_version":"1","unit":"percent","formula":"sum(field.invoice_amount where in_period(field.invoice_date)) / total(sum(field.invoice_amount where in_period(field.invoice_date) and field.payment_method is not null))","gasp_breakdown":"payment_method","staged":true}' - name: gasp_recognized_vs_billed expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(revenue_schedule.recognized_revenue) AS DECIMAL) / NULLIF(SUM(revenue_schedule.billed_amount), 0)) description: Recognized vs Billed. Ratio of recognized revenue to billed revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/recognized-vs-billed." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"recognized_vs_billed","gasp_version":"1","unit":"ratio","formula":"sum(field.recognized_revenue) / sum(field.billed_amount)"}' - name: gasp_deferred_revenue_balance expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_deferred_revenue_balance.value) description: Deferred Revenue Balance. Revenue billed but not yet recognized. A balance of cumulative billings less cumulative recognized revenue, independent of when cash is received. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/deferred-revenue-balance. Staged (to_date): gasp_staged_gasp_deferred_revenue_balance holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"deferred_revenue_balance","gasp_version":"1","unit":"currency","formula":"sum(field.billed_amount) to_date - sum(field.recognized_revenue) to_date","staged":true}' - name: gasp_unbilled_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(GREATEST((revenue_schedule.recognized_revenue - revenue_schedule.billed_amount), 0)) description: Unbilled Revenue. Revenue recognized but not yet invoiced. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/unbilled-revenue." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"unbilled_revenue","gasp_version":"1","unit":"currency","formula":"sum(max(field.recognized_revenue - field.billed_amount, 0))"}' - name: gasp_revenue_recognition_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN revenue_schedule.recognition_correct = TRUE THEN revenue_schedule.recognized_revenue ELSE 0 END) AS DECIMAL) / NULLIF(SUM(revenue_schedule.recognized_revenue), 0)) description: Revenue Recognition Accuracy. Percentage of revenue correctly recognized per ASC 606. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/revenue-recognition-accuracy." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"revenue_recognition_accuracy","gasp_version":"1","unit":"percent","formula":"sum(field.recognized_revenue where field.recognition_correct = true) / sum(field.recognized_revenue)"}' - name: gasp_renewal_notification_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_renewal_notification_rate.value) description: Renewal Notification Rate. Percentage of renewals where customer was notified on time. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/renewal-notification-rate. Staged (period bound in filter): gasp_staged_gasp_renewal_notification_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"renewal_notification_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.subscription_id where in_period(field.contract_end) and field.renewal_notified_on_time = true) / count_distinct(field.subscription_id where in_period(field.contract_end))","staged":true}' - name: gasp_auto_renewal_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_auto_renewal_rate.value) description: Auto-Renewal Rate. Percentage of renewals processed automatically. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/auto-renewal-rate. Staged (period bound in filter): gasp_staged_gasp_auto_renewal_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"auto_renewal_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.subscription_id where in_period(field.contract_end) and field.auto_renewed = true) / count_distinct(field.subscription_id where in_period(field.contract_end))","staged":true}' - name: gasp_renewal_processing_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_renewal_processing_time.value) description: Renewal Processing Time. Time to process a renewal from trigger to completion. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/renewal-processing-time. Staged (period bound in filter): gasp_staged_gasp_renewal_processing_time holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"renewal_processing_time","gasp_version":"1","unit":"days","formula":"median(field.renewal_complete_date - field.renewal_trigger_date where in_period(field.contract_end))","staged":true}' - name: gasp_system_sync_accuracy expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN crm_record.sync_status = 'matched' THEN crm_record.sync_status END) AS DECIMAL) / NULLIF(COUNT(crm_record.sync_status), 0)) description: System Sync Accuracy. Data consistency across RevOps systems (CRM, billing, ERP). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/system-sync-accuracy. Reads the crm_record snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"system_sync_accuracy\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.sync_status where field.sync_status = 'matched') / count(field.sync_status)\"}" - name: gasp_data_completeness expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(crm_record.populated_field_count) AS DECIMAL) / NULLIF(SUM(crm_record.required_field_count), 0)) description: Data Completeness. Percentage of required fields populated in RevOps systems. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/revops/data-completeness. Reads the crm_record snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"data_completeness","gasp_version":"1","unit":"percent","formula":"sum(field.populated_field_count) / sum(field.required_field_count)"}' - name: gasp_daily_active_users_dau expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_daily_active_users_dau.value) description: Daily Active Users (DAU). Unique users who performed a meaningful action in the product on a given day. datatype: Integer ai_context: synonyms: - DAU instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/daily-active-users-dau. Staged (window): gasp_staged_gasp_daily_active_users_dau holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"daily_active_users_dau\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"window(count_distinct(field.user_id where field.product_event_type = 'qualifying'), 1 day)\",\"staged\":true}" - name: gasp_weekly_active_users_wau expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_weekly_active_users_wau.value) description: Weekly Active Users (WAU). Unique users who performed a meaningful action in the product within a 7-day period. datatype: Integer ai_context: synonyms: - WAU instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/weekly-active-users-wau. Staged (window): gasp_staged_gasp_weekly_active_users_wau holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"weekly_active_users_wau\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"window(count_distinct(field.user_id where field.product_event_type = 'qualifying'), 7 day)\",\"staged\":true}" - name: gasp_monthly_active_users_mau expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_monthly_active_users_mau.value) description: Monthly Active Users (MAU). Unique users who performed a meaningful action in the product within a 30-day period. datatype: Integer ai_context: synonyms: - MAU instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/monthly-active-users-mau. Staged (window): gasp_staged_gasp_monthly_active_users_mau holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"monthly_active_users_mau\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"window(count_distinct(field.user_id where field.product_event_type = 'qualifying'), 30 day)\",\"staged\":true}" - name: gasp_dau_mau expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_dau_mau.value) description: DAU/MAU Ratio (Stickiness). The ratio of daily to monthly active users, indicating how often users return. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/daumau-ratio-stickiness. Staged (window): gasp_staged_gasp_dau_mau holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"dau_mau","gasp_version":"1","unit":"percent","formula":"metric.daily_active_users_dau / metric.monthly_active_users_mau","staged":true}' - name: gasp_waumau_ratio expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_waumau_ratio.value) description: WAU/MAU Ratio. Weekly to monthly active user ratio. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/waumau-ratio. Staged (window): gasp_staged_gasp_waumau_ratio holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"waumau_ratio","gasp_version":"1","unit":"percent","formula":"metric.weekly_active_users_wau / metric.monthly_active_users_mau","staged":true}' - name: gasp_active_accounts expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN product_event.product_event_type = 'qualifying' THEN product_event.customer_id END) description: Active Accounts. Customer accounts with at least one active user in the period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/active-accounts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"active_accounts\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.customer_id where field.product_event_type = 'qualifying')\"}" - name: gasp_activation_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_activation_rate.value) description: Onboarding-to-Active Rate (Activation Rate). Percentage of onboarded customers who become actively engaged. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/onboarding-to-active-rate-activation-rate. Staged (period bound in filter): gasp_staged_gasp_activation_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"activation_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.customer_id where in_period(field.onboarding_completion_date) and field.activation_date is not null) / count_distinct(field.customer_id where in_period(field.onboarding_completion_date))","staged":true}' - name: gasp_feature_adoption expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN product_event.feature_id IS NOT NULL THEN product_event.user_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN product_event.product_event_type = 'qualifying' THEN product_event.user_id END), 0)) description: Feature Adoption Rate. Percentage of active users who used a specific feature in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/feature-adoption-rate." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"feature_adoption\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.user_id where field.feature_id is not null) / count_distinct(field.user_id where field.product_event_type = 'qualifying')\"}" - name: gasp_core_feature_adoption expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN user.core_features_adopted = TRUE THEN user.user_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN product_event.product_event_type = 'qualifying' THEN product_event.user_id END), 0)) description: Core Feature Adoption. Percentage of users using the core features that define the product. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/core-feature-adoption. Reads the user snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"core_feature_adoption\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.user_id where field.core_features_adopted = true) / count_distinct(field.user_id where field.product_event_type = 'qualifying')\"}" - name: gasp_feature_depth expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(product_event.usage_count) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN product_event.usage_count > 0 THEN product_event.user_id END), 0)) description: "Feature Depth. How intensively users engage with features: average feature actions per user who used a feature in the period." datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/feature-depth." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"feature_depth","gasp_version":"1","unit":"ratio","formula":"sum(field.usage_count) / count_distinct(field.user_id where field.usage_count > 0)"}' - name: gasp_time_to_feature_adoption expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_time_to_feature_adoption.value) description: Time to Feature Adoption. Median time from signup to a user's first use of a specific feature, for users whose first use falls in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/time-to-feature-adoption. Staged (period bound in filter): gasp_staged_gasp_time_to_feature_adoption holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_to_feature_adoption","gasp_version":"1","unit":"days","formula":"median(field.first_use_date - field.signup_date where in_period(field.first_use_date))","staged":true}' - name: gasp_breadth_of_adoption expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_breadth_of_adoption.value) description: Breadth of Adoption. Average number of features used per account. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/breadth-of-adoption. Staged (distinct pair): gasp_staged_gasp_breadth_of_adoption holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"breadth_of_adoption","gasp_version":"1","unit":"ratio","formula":"count_distinct(field.customer_id, field.feature_id) / metric.active_accounts","staged":true}' - name: gasp_session_frequency expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT product_event.session_id) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN product_event.product_event_type = 'qualifying' THEN product_event.user_id END), 0)) description: Session Frequency. Average number of sessions per user per period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/session-frequency." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"session_frequency\",\"gasp_version\":\"1\",\"unit\":\"ratio\",\"formula\":\"count_distinct(field.session_id) / count_distinct(field.user_id where field.product_event_type = 'qualifying')\"}" - name: gasp_session_duration expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(product_event.session_duration) description: Session Duration. Average time spent per session. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/session-duration." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"session_duration","gasp_version":"1","unit":"minutes","formula":"avg(field.session_duration)"}' - name: gasp_time_in_product expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(product_event.session_duration) AS DECIMAL) / NULLIF(COUNT(DISTINCT user.user_id), 0)) description: Time in Product. Total time spent in product per user per period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/time-in-product. Reads the user snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_in_product","gasp_version":"1","unit":"minutes","formula":"sum(field.session_duration) / count_distinct(field.user_id)"}' - name: gasp_actions_per_session expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(product_event.usage_count) AS DECIMAL) / NULLIF(COUNT(DISTINCT product_event.session_id), 0)) description: Actions per Session. Average number of meaningful actions per session. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/actions-per-session." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"actions_per_session","gasp_version":"1","unit":"ratio","formula":"sum(field.usage_count) / count_distinct(field.session_id)"}' - name: gasp_pqas expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN customer.criteria_met = TRUE THEN customer.customer_id END) description: Product Qualified Accounts (PQAs). Accounts that have demonstrated product engagement indicating sales-readiness. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/product-qualified-accounts-pqas. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"pqas","gasp_version":"1","unit":"count","formula":"count_distinct(field.customer_id where field.criteria_met = true) at period_end"}' - name: gasp_user_retention_day_n expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_user_retention_day_n.value) description: User Retention (Day N). Percentage of users who return on day N after signup. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/user-retention-day-n. Staged (all_time): gasp_staged_gasp_user_retention_day_n holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"user_retention_day_n\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"all_time(count_distinct(field.user_id where field.product_event_type = 'qualifying' and in_period(field.signup_date) and (field.event_date - field.signup_date) = 30)) / count_distinct(field.user_id where in_period(field.signup_date))\",\"staged\":true}" - name: gasp_cohort_retention expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cohort_retention.value) description: Cohort Retention. Retention tracked by signup cohort over time. The canonical formula reports week 8 for the period's signup cohort. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/cohort-retention. Staged (all_time): gasp_staged_gasp_cohort_retention holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cohort_retention\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"all_time(count_distinct(field.user_id where field.product_event_type = 'qualifying' and in_period(field.signup_date) and (field.event_date - field.signup_date) >= 49 and (field.event_date - field.signup_date) < 56)) / count_distinct(field.user_id where in_period(field.signup_date))\",\"staged\":true}" - name: gasp_resurrection_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_resurrection_rate.value) description: Resurrection Rate. Percentage of users dormant at period start who returned in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/resurrection-rate. Staged (at period_start): gasp_staged_gasp_resurrection_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"resurrection_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.user_id where field.product_event_type = 'reactivation') / count_distinct(field.user_id where field.user_status = 'dormant') at period_start\",\"staged\":true}" - name: gasp_release_frequency expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT release.release_id) description: Release Frequency. How often new releases are shipped to customers. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/release-frequency." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"release_frequency","gasp_version":"1","unit":"count","formula":"count_distinct(field.release_id)"}' - name: gasp_feature_delivery_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_feature_delivery_rate.value) description: Feature Delivery Rate. Percentage of planned features delivered on schedule. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/feature-delivery-rate. Staged (period bound in filter): gasp_staged_gasp_feature_delivery_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"feature_delivery_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.feature_id where in_period(field.planned_date) and field.actual_date <= field.planned_date) / count_distinct(field.feature_id where in_period(field.planned_date))","staged":true}' - name: gasp_roadmap_completion expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN roadmap_item.roadmap_item_completed = TRUE THEN roadmap_item.roadmap_item_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT roadmap_item.roadmap_item_id), 0)) description: Roadmap Completion. Percentage of roadmap items completed in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/roadmap-completion. Reads the roadmap_item snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"roadmap_completion","gasp_version":"1","unit":"percent","formula":"count_distinct(field.roadmap_item_id where field.roadmap_item_completed = true) / count_distinct(field.roadmap_item_id)"}' - name: gasp_time_to_market expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_time_to_market.value) description: Time to Market. Time from feature concept to production release. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/time-to-market. Staged (period bound in filter): gasp_staged_gasp_time_to_market holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_to_market","gasp_version":"1","unit":"days","formula":"median(field.release_date - field.feature_created_date where in_period(field.release_date))","staged":true}' - name: gasp_error_rate_user_facing expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN product_event.product_event_type = 'error' THEN product_event.event_id END) AS DECIMAL) / NULLIF(COUNT(CASE WHEN product_event.product_event_type IN ('action', 'error') THEN product_event.event_id END), 0)) description: Error Rate (User-Facing). Percentage of user actions that result in errors. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/error-rate-user-facing." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"error_rate_user_facing\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.event_id where field.product_event_type = 'error') / count(field.event_id where field.product_event_type in ('action', 'error'))\"}" - name: gasp_bug_escape_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN (issue.issue_type = 'bug' AND issue.issue_environment = 'production') THEN issue.issue_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN issue.issue_type = 'bug' THEN issue.issue_id END), 0)) description: Bug Escape Rate. Share of bugs found in production rather than caught in testing. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/bug-escape-rate." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"bug_escape_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.issue_id where field.issue_type = 'bug' and field.issue_environment = 'production') / count_distinct(field.issue_id where field.issue_type = 'bug')\"}" - name: gasp_user_reported_issues expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN (issue.issue_type = 'bug' AND issue.issue_source = 'user_report') THEN issue.issue_id END) description: User-Reported Issues. Number of bugs/issues reported by users. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/user-reported-issues." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"user_reported_issues\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.issue_id where field.issue_type = 'bug' and field.issue_source = 'user_report')\"}" - name: gasp_feature_request_volume expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN issue.issue_type = 'feature_request' THEN issue.issue_id END) description: Feature Request Volume. Number of feature requests received. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/feature-request-volume." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"feature_request_volume\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.issue_id where field.issue_type = 'feature_request')\"}" - name: gasp_uptime expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_uptime.value) description: Uptime (Availability). The percentage of time the service is operational. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/uptime-availability. Staged (period_days): gasp_staged_gasp_uptime holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"uptime","gasp_version":"1","unit":"percent","formula":"1 - sum(field.downtime_minutes) / (period_days * 1440)","staged":true}' - name: gasp_sla_adherence expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN service_metrics.sla_met = TRUE THEN service_metrics.service_id END) AS DECIMAL) / NULLIF(COUNT(service_metrics.service_id), 0)) description: SLA Adherence. Percentage of time SLA commitments were met. datatype: Decimal ai_context: synonyms: - SLA instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/sla-adherence." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"sla_adherence","gasp_version":"1","unit":"percent","formula":"count(field.service_id where field.sla_met = true) / count(field.service_id)"}' - name: gasp_error_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(service_metrics.error_count) AS DECIMAL) / NULLIF(SUM(service_metrics.request_count), 0)) description: Error Rate. Percentage of requests that result in errors. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/error-rate." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"error_rate","gasp_version":"1","unit":"percent","formula":"sum(field.error_count) / sum(field.request_count)"}' - name: gasp_latency_response_time expression: dialects: - dialect: OSSIE_SQL_2026 expression: PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY service_metrics.response_time_ms) description: Latency (Response Time). Time taken to respond to requests. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/latency-response-time." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"latency_response_time","gasp_version":"1","unit":"milliseconds","formula":"percentile(field.response_time_ms, 0.95)"}' - name: gasp_latency_response_time_p50 expression: dialects: - dialect: OSSIE_SQL_2026 expression: PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY service_metrics.response_time_ms) description: Latency (Response Time), p50 variant. Time taken to respond to requests. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/latency-response-time." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"latency_response_time","gasp_version":"1","variant":"p50","unit":"milliseconds","formula":"percentile(field.response_time_ms, 0.5)"}' - name: gasp_latency_response_time_p99 expression: dialects: - dialect: OSSIE_SQL_2026 expression: PERCENTILE_CONT(0.99) WITHIN GROUP (ORDER BY service_metrics.response_time_ms) description: Latency (Response Time), p99 variant. Time taken to respond to requests. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/latency-response-time." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"latency_response_time","gasp_version":"1","variant":"p99","unit":"milliseconds","formula":"percentile(field.response_time_ms, 0.99)"}' - name: gasp_incident_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT incident.incident_id) description: Incident Count. Number of incidents in a period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/incident-count." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"incident_count","gasp_version":"1","unit":"count","formula":"count_distinct(field.incident_id)"}' - name: gasp_incident_count_by_severity expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT incident.incident_id) description: Incident Count, by_severity breakdown. Number of incidents in a period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/incident-count. Broken down by severity: report one value per severity by grouping on the severity field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"incident_count","gasp_version":"1","variant":"by_severity","unit":"count","formula":"count_distinct(field.incident_id)","gasp_breakdown":"severity"}' - name: gasp_incident_count_by_incident_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT incident.incident_id) description: Incident Count, by_incident_type breakdown. Number of incidents in a period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/incident-count. Broken down by incident_type: report one value per incident_type by grouping on the incident_type field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"incident_count","gasp_version":"1","variant":"by_incident_type","unit":"count","formula":"count_distinct(field.incident_id)","gasp_breakdown":"incident_type"}' - name: gasp_mean_time_to_detect_mttd expression: dialects: - dialect: OSSIE_SQL_2026 expression: (AVG((DATEDIFF(second, incident.started_at, incident.detected_at) / 86400.0)) * 1440) description: Mean Time to Detect (MTTD). Time from incident start to detection. datatype: Decimal ai_context: synonyms: - MTTD instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/mean-time-to-detect-mttd." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mean_time_to_detect_mttd","gasp_version":"1","unit":"minutes","formula":"(avg(field.detected_at - field.started_at)) * 1440"}' - name: gasp_mean_time_to_acknowledge_mtta expression: dialects: - dialect: OSSIE_SQL_2026 expression: (AVG((DATEDIFF(second, incident.detected_at, incident.acknowledged_at) / 86400.0)) * 1440) description: Mean Time to Acknowledge (MTTA). Time from detection (the alert firing) to a person acknowledging the incident. datatype: Decimal ai_context: synonyms: - MTTA instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/mean-time-to-acknowledge-mtta." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mean_time_to_acknowledge_mtta","gasp_version":"1","unit":"minutes","formula":"(avg(field.acknowledged_at - field.detected_at)) * 1440"}' - name: gasp_mttr expression: dialects: - dialect: OSSIE_SQL_2026 expression: (AVG((DATEDIFF(second, incident.started_at, incident.resolved_at) / 86400.0)) * 1440) description: Mean Time to Resolve (MTTR). Time from incident start to resolution. datatype: Decimal ai_context: synonyms: - MTTR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/mean-time-to-resolve-mttr." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mttr","gasp_version":"1","unit":"minutes","formula":"(avg(field.resolved_at - field.started_at)) * 1440"}' - name: gasp_mttr_by_severity expression: dialects: - dialect: OSSIE_SQL_2026 expression: (AVG((DATEDIFF(second, incident.started_at, incident.resolved_at) / 86400.0)) * 1440) description: Mean Time to Resolve (MTTR), by_severity breakdown. Time from incident start to resolution. datatype: Decimal ai_context: synonyms: - MTTR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/mean-time-to-resolve-mttr. Broken down by severity: report one value per severity by grouping on the severity field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mttr","gasp_version":"1","variant":"by_severity","unit":"minutes","formula":"(avg(field.resolved_at - field.started_at)) * 1440","gasp_breakdown":"severity"}' - name: gasp_mttr_by_incident_type expression: dialects: - dialect: OSSIE_SQL_2026 expression: (AVG((DATEDIFF(second, incident.started_at, incident.resolved_at) / 86400.0)) * 1440) description: Mean Time to Resolve (MTTR), by_incident_type breakdown. Time from incident start to resolution. datatype: Decimal ai_context: synonyms: - MTTR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/mean-time-to-resolve-mttr. Broken down by incident_type: report one value per incident_type by grouping on the incident_type field of each dataset the expression reads." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mttr","gasp_version":"1","variant":"by_incident_type","unit":"minutes","formula":"(avg(field.resolved_at - field.started_at)) * 1440","gasp_breakdown":"incident_type"}' - name: gasp_change_failure_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN deployment.incident_id IS NOT NULL THEN deployment.deployment_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT deployment.deployment_id), 0)) description: Change Failure Rate. Percentage of deployments that cause incidents. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/change-failure-rate." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"change_failure_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.deployment_id where field.incident_id is not null) / count_distinct(field.deployment_id)"}' - name: gasp_deployment_frequency expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT deployment.deployment_id) description: Deployment Frequency. How often code is deployed to production. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/deployment-frequency." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"deployment_frequency","gasp_version":"1","unit":"count","formula":"count_distinct(field.deployment_id)"}' - name: gasp_lead_time_for_changes expression: dialects: - dialect: OSSIE_SQL_2026 expression: (MEDIAN((DATEDIFF(second, deployment.committed_at, deployment.deploy_date) / 86400.0)) * 24) description: Lead Time for Changes. Time from code commit to production deployment. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/lead-time-for-changes." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"lead_time_for_changes","gasp_version":"1","unit":"hours","formula":"(median(field.deploy_date - field.committed_at)) * 24"}' - name: gasp_mean_time_to_recovery_mttr expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(incident.recovery_time) description: Mean Time to Recovery (MTTR). Time to restore service after a failure. datatype: Decimal ai_context: synonyms: - MTTR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/mean-time-to-recovery-mttr." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mean_time_to_recovery_mttr","gasp_version":"1","unit":"minutes","formula":"avg(field.recovery_time)"}' - name: gasp_infrastructure_utilization expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(service_metrics.utilization) description: Infrastructure Utilization. Percentage of provisioned capacity being used. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/infrastructure-utilization." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"infrastructure_utilization","gasp_version":"1","unit":"percent","formula":"avg(field.utilization)"}' - name: gasp_infrastructure_cost_per_customer expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.customer_status = 'active' THEN customer.customer_id END), 0)) description: Infrastructure Cost per Customer. Total infrastructure cost divided by active customers. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/infrastructure-cost-per-customer. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"infrastructure_cost_per_customer\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'infrastructure') / count_distinct(field.customer_id where field.customer_status = 'active') at period_end\"}" - name: gasp_headroom expression: dialects: - dialect: OSSIE_SQL_2026 expression: (1 - (AVG(service_metrics.utilization))) description: Headroom. Available capacity before scaling is required. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/headroom." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"headroom","gasp_version":"1","unit":"percent","formula":"1 - metric.infrastructure_utilization"}' - name: gasp_vulnerability_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN vulnerability.vulnerability_status = 'open' THEN vulnerability.vulnerability_id END) description: Vulnerability Count. Number of known vulnerabilities still open in your systems. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/vulnerability-count. Reads the vulnerability snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"vulnerability_count\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.vulnerability_id where field.vulnerability_status = 'open')\"}" - name: gasp_time_to_patch expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_time_to_patch.value) description: Time to Patch. Time from a vulnerability being discovered to its patch being deployed, for patches deployed in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/time-to-patch. Staged (period bound in filter): gasp_staged_gasp_time_to_patch holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_to_patch","gasp_version":"1","unit":"hours","formula":"(avg(field.patched_at - field.discovered_at where in_period(field.patched_at))) * 24","staged":true}' - name: gasp_security_incident_count expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN incident.incident_type = 'security' THEN incident.incident_id END) description: Security Incident Count. Number of security incidents in a period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/engineering/security-incident-count." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"security_incident_count\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.incident_id where field.incident_type = 'security')\"}" - name: gasp_revenue_gaap expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(financials.revenue) description: Revenue (GAAP). Recognized revenue according to accounting standards. datatype: Decimal ai_context: synonyms: - GAAP instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/revenue-gaap." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"revenue_gaap","gasp_version":"1","unit":"currency","formula":"sum(field.revenue)"}' - name: gasp_bookings expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN contract_event.contract_event_type IN ('new_contract', 'renewal', 'amendment') THEN contract_event.tcv ELSE 0 END) description: Bookings. Total contract value signed in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/bookings." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"bookings\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.tcv where field.contract_event_type in ('new_contract', 'renewal', 'amendment'))\"}" - name: gasp_bookings_new expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN contract_event.contract_event_type = 'new_contract' THEN contract_event.tcv ELSE 0 END) description: Bookings, new variant. Total contract value signed in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/bookings." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"bookings\",\"gasp_version\":\"1\",\"variant\":\"new\",\"unit\":\"currency\",\"formula\":\"sum(field.tcv where field.contract_event_type = 'new_contract')\"}" - name: gasp_bookings_renewal expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN contract_event.contract_event_type = 'renewal' THEN contract_event.tcv ELSE 0 END) description: Bookings, renewal variant. Total contract value signed in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/bookings." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"bookings\",\"gasp_version\":\"1\",\"variant\":\"renewal\",\"unit\":\"currency\",\"formula\":\"sum(field.tcv where field.contract_event_type = 'renewal')\"}" - name: gasp_bookings_expansion expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN contract_event.contract_event_type = 'amendment' THEN contract_event.tcv ELSE 0 END) description: Bookings, expansion variant. Total contract value signed in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/bookings." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"bookings\",\"gasp_version\":\"1\",\"variant\":\"expansion\",\"unit\":\"currency\",\"formula\":\"sum(field.tcv where field.contract_event_type = 'amendment')\"}" - name: gasp_billings expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_billings.value) description: Billings. Amounts invoiced in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/billings. Staged (period bound in filter): gasp_staged_gasp_billings holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"billings","gasp_version":"1","unit":"currency","formula":"sum(field.invoice_amount where in_period(field.invoice_date))","staged":true}' - name: gasp_billings_by_payment_status expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_billings_by_payment_status.value) description: Billings, by_payment_status breakdown. Amounts invoiced in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/billings. Broken down by payment_status: report one value per payment_status. Staged (period bound in filter): gasp_staged_gasp_billings_by_payment_status holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"billings","gasp_version":"1","variant":"by_payment_status","unit":"currency","formula":"sum(field.invoice_amount where in_period(field.invoice_date))","gasp_breakdown":"payment_status","staged":true}' - name: gasp_revenue_per_employee expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST((((SUM(CASE WHEN subscription.subscription_status = 'active' THEN subscription.mrr ELSE 0 END)) * 12)) AS DECIMAL) / NULLIF((COUNT(DISTINCT CASE WHEN employee.employee_status = 'active' THEN employee.employee_id END)), 0)) description: Revenue per Employee. Annual Recurring Revenue (ARR) divided by total headcount. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/revenue-per-employee. Reads the employee and subscription snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"revenue_per_employee","gasp_version":"1","unit":"currency","formula":"metric.arr / metric.total_headcount"}' - name: gasp_operating_margin expression: dialects: - dialect: OSSIE_SQL_2026 expression: (((CAST((SUM(financials.revenue) - SUM(CASE WHEN cost_event.cost_function = 'infrastructure' THEN cost_event.cost ELSE 0 END)) AS DECIMAL) / NULLIF(SUM(financials.revenue), 0))) - ((CAST(SUM(CASE WHEN cost_event.cost_function <> 'infrastructure' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)))) description: Operating Margin (EBIT Margin). Operating income as a percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/operating-margin-ebit-margin." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"operating_margin","gasp_version":"1","unit":"percent","formula":"metric.gross_margin - metric.opex_ratio"}' - name: gasp_ebitda_margin expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(financials.ebitda) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: EBITDA Margin. Earnings before interest, taxes, depreciation and amortization as a percentage of revenue. datatype: Decimal ai_context: synonyms: - EBITDA instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/ebitda-margin." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ebitda_margin","gasp_version":"1","unit":"percent","formula":"sum(field.ebitda) / metric.revenue_gaap"}' - name: gasp_net_income_margin expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(financials.net_income) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: Net Income Margin. Net income as a percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/net-income-margin." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"net_income_margin","gasp_version":"1","unit":"percent","formula":"sum(field.net_income) / metric.revenue_gaap"}' - name: gasp_burn_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_burn_rate.value) description: Cash Burn Rate. Net cash consumed per month. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/cash-burn-rate. Staged (at period_start): gasp_staged_gasp_burn_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"burn_rate","gasp_version":"1","unit":"currency","formula":"(sum(field.cash_balance) at period_start - sum(field.cash_balance) at period_end) / (period_days / 30.4375)","staged":true}' - name: gasp_cash_runway expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cash_runway.value) description: Cash Runway. Time until cash runs out at current burn rate. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/cash-runway. Staged (at period_start): gasp_staged_gasp_cash_runway holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"cash_runway","gasp_version":"1","unit":"months","formula":"sum(field.cash_balance) at period_end / metric.burn_rate","staged":true}' - name: gasp_fcf expression: dialects: - dialect: OSSIE_SQL_2026 expression: (SUM(financials.operating_cash_flow) - SUM(financials.capital_expenditures)) description: Free Cash Flow (FCF). Cash generated from operations minus capital expenditures. datatype: Decimal ai_context: synonyms: - FCF instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/free-cash-flow-fcf." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"fcf","gasp_version":"1","unit":"currency","formula":"sum(field.operating_cash_flow) - sum(field.capital_expenditures)"}' - name: gasp_free_cash_flow_margin expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(((SUM(financials.operating_cash_flow) - SUM(financials.capital_expenditures))) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: Free Cash Flow Margin. FCF as a percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/free-cash-flow-margin." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"free_cash_flow_margin","gasp_version":"1","unit":"percent","formula":"metric.fcf / metric.revenue_gaap"}' - name: gasp_magic_number expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_magic_number.value) description: Magic Number. Sales efficiency metric measuring revenue generated per dollar of sales and marketing spend. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/magic-number. Staged (lag): gasp_staged_gasp_magic_number holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"magic_number\",\"gasp_version\":\"1\",\"unit\":\"ratio\",\"formula\":\"(metric.arr - lag(metric.arr, 1 quarter)) / lag(window(sum(field.cost where field.cost_function = 'gtm'), 1 quarter), 1 quarter)\",\"staged\":true}" - name: gasp_burn_multiple expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_burn_multiple.value) description: Burn Multiple. Net burn divided by net new ARR. Popularized by David Sacks. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/burn-multiple. Staged (at period_start): gasp_staged_gasp_burn_multiple holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"burn_multiple","gasp_version":"1","unit":"ratio","formula":"metric.burn_rate / (metric.net_new_mrr * 12)","staged":true}' - name: gasp_opex_ratio expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function <> 'infrastructure' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: Opex Ratio. Operating expenses as a percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/opex-ratio." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"opex_ratio\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.cost where field.cost_function != 'infrastructure') / metric.revenue_gaap\"}" - name: gasp_opex_ratio_by_cost_centre expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_opex_ratio_by_cost_centre.value) description: Opex Ratio, by_cost_centre breakdown. Operating expenses as a percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/opex-ratio. Broken down by cost_centre: report one value per cost_centre. Staged (total): gasp_staged_gasp_opex_ratio_by_cost_centre holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"opex_ratio\",\"gasp_version\":\"1\",\"variant\":\"by_cost_centre\",\"unit\":\"percent\",\"formula\":\"sum(field.cost where field.cost_function != 'infrastructure') / metric.revenue_gaap\",\"gasp_breakdown\":\"cost_centre\",\"staged\":true}" - name: gasp_sm_as_of_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function = 'gtm' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: S&M as % of Revenue. Sales and marketing spend as percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/sm-as-of-revenue." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"sm_as_of_revenue\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.cost where field.cost_function = 'gtm') / metric.revenue_gaap\"}" - name: gasp_rd_as_of_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function = 'research_development' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: R&D as % of Revenue. Research and development spend as percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/rd-as-of-revenue." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"rd_as_of_revenue\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.cost where field.cost_function = 'research_development') / metric.revenue_gaap\"}" - name: gasp_ga_as_of_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN cost_event.cost_function = 'general_administrative' THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF((SUM(financials.revenue)), 0)) description: G&A as % of Revenue. General and administrative spend as percentage of revenue. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/ga-as-of-revenue." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"ga_as_of_revenue\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"sum(field.cost where field.cost_function = 'general_administrative') / metric.revenue_gaap\"}" - name: gasp_collection_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_collection_rate.value) description: Collection Rate. Percentage of invoiced amounts collected. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/finance/collection-rate. Staged (period bound in filter): gasp_staged_gasp_collection_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"collection_rate","gasp_version":"1","unit":"percent","formula":"sum(field.invoice_amount where in_period(field.invoice_date) and field.payment_date is not null) / metric.billings","staged":true}' - name: gasp_ttfv expression: dialects: - dialect: OSSIE_SQL_2026 expression: MEDIAN(CASE WHEN onboarding_milestone.onboarding_milestone = 'first_value' THEN DATEDIFF(day, onboarding_milestone.contract_start, onboarding_milestone.milestone_date) END) description: Time to First Value (TTFV). Time from contract start to the customer's first meaningful value milestone. datatype: Decimal ai_context: synonyms: - TTFV instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/time-to-first-value-ttfv." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"ttfv\",\"gasp_version\":\"1\",\"unit\":\"days\",\"formula\":\"median(field.milestone_date - field.contract_start where field.onboarding_milestone = 'first_value')\"}" - name: gasp_time_to_go_live expression: dialects: - dialect: OSSIE_SQL_2026 expression: MEDIAN(CASE WHEN onboarding_milestone.onboarding_milestone = 'go_live' THEN DATEDIFF(day, onboarding_milestone.contract_start, onboarding_milestone.milestone_date) END) description: Time to Go-Live. Time from contract to production deployment. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/time-to-go-live." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"time_to_go_live\",\"gasp_version\":\"1\",\"unit\":\"days\",\"formula\":\"median(field.milestone_date - field.contract_start where field.onboarding_milestone = 'go_live')\"}" - name: gasp_time_to_full_adoption expression: dialects: - dialect: OSSIE_SQL_2026 expression: MEDIAN(CASE WHEN onboarding_milestone.onboarding_milestone = 'full_adoption' THEN DATEDIFF(day, onboarding_milestone.contract_start, onboarding_milestone.milestone_date) END) description: Time to Full Adoption. Time from contract to using all purchased features/modules. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/time-to-full-adoption." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"time_to_full_adoption\",\"gasp_version\":\"1\",\"unit\":\"days\",\"formula\":\"median(field.milestone_date - field.contract_start where field.onboarding_milestone = 'full_adoption')\"}" - name: gasp_onboarding_duration expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_onboarding_duration.value) description: Onboarding Duration. Time from onboarding start to onboarding completion, for onboardings completed in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/onboarding-duration. Staged (period bound in filter): gasp_staged_gasp_onboarding_duration holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"onboarding_duration","gasp_version":"1","unit":"days","formula":"median(field.onboarding_completion_date - field.onboarding_start_date where in_period(field.onboarding_completion_date))","staged":true}' - name: gasp_onboarding_completion expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_onboarding_completion.value) description: Onboarding Completion Rate. Percentage of customers who complete the onboarding program. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/onboarding-completion-rate. Staged (period bound in filter): gasp_staged_gasp_onboarding_completion holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"onboarding_completion","gasp_version":"1","unit":"percent","formula":"count_distinct(field.onboarding_id where in_period(field.onboarding_completion_date)) / count_distinct(field.onboarding_id where in_period(field.onboarding_start_date))","staged":true}' - name: gasp_on_time_completion_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_on_time_completion_rate.value) description: On-Time Completion Rate. Percentage of customers completing onboarding within target timeframe. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/on-time-completion-rate. Staged (period bound in filter): gasp_staged_gasp_on_time_completion_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"on_time_completion_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.onboarding_id where in_period(field.onboarding_completion_date) and field.onboarding_completion_date <= field.target_date) / count_distinct(field.onboarding_id where in_period(field.onboarding_completion_date))","staged":true}' - name: gasp_session_attendance_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN onboarding_session.attendees > 0 THEN onboarding_session.onboarding_session_date END) AS DECIMAL) / NULLIF(COUNT(onboarding_session.onboarding_session_date), 0)) description: Session Attendance Rate. Percentage of scheduled onboarding sessions attended. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/session-attendance-rate." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"session_attendance_rate","gasp_version":"1","unit":"percent","formula":"count(field.onboarding_session_date where field.attendees > 0) / count(field.onboarding_session_date)"}' - name: gasp_task_completion_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(onboarding.steps_completed) AS DECIMAL) / NULLIF(SUM(onboarding.steps_total), 0)) description: Task Completion Rate. Percentage of assigned onboarding tasks completed by customer. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/task-completion-rate. Reads the onboarding snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"task_completion_rate","gasp_version":"1","unit":"percent","formula":"sum(field.steps_completed) / sum(field.steps_total)"}' - name: gasp_onboarding_csat expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN (survey_response.survey_type = 'onboarding' AND survey_response.satisfaction_score >= 4) THEN survey_response.satisfaction_score END) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'onboarding' THEN survey_response.satisfaction_score END), 0)) description: Onboarding CSAT. Customer satisfaction with the onboarding experience. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/onboarding-csat." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"onboarding_csat\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.satisfaction_score where field.survey_type = 'onboarding' and field.satisfaction_score >= 4) / count(field.satisfaction_score where field.survey_type = 'onboarding')\"}" - name: gasp_onboarding_nps expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((CAST((COUNT(CASE WHEN (survey_response.survey_type = 'onboarding' AND survey_response.nps_score >= 9) THEN survey_response.nps_score END) - COUNT(CASE WHEN (survey_response.survey_type = 'onboarding' AND survey_response.nps_score <= 6) THEN survey_response.nps_score END)) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'onboarding' THEN survey_response.nps_score END), 0)) * 100) description: Onboarding NPS. Net Promoter Score specifically for onboarding experience. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/onboarding-nps." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"onboarding_nps\",\"gasp_version\":\"1\",\"unit\":\"score\",\"formula\":\"(count(field.nps_score where field.survey_type = 'onboarding' and field.nps_score >= 9) - count(field.nps_score where field.survey_type = 'onboarding' and field.nps_score <= 6)) / count(field.nps_score where field.survey_type = 'onboarding') * 100\"}" - name: gasp_onboardings_per_resource expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_onboardings_per_resource.value) description: Onboardings per Resource. Number of onboardings handled per implementation resource. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/onboardings-per-resource. Staged (period bound in filter): gasp_staged_gasp_onboardings_per_resource holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"onboardings_per_resource","gasp_version":"1","unit":"ratio","formula":"count_distinct(field.onboarding_id where in_period(field.onboarding_completion_date)) / count_distinct(field.resource_id where in_period(field.onboarding_completion_date))","staged":true}' - name: gasp_cost_per_onboarding expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cost_per_onboarding.value) description: Cost per Onboarding. Total onboarding cost divided by customers onboarded. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/cost-per-onboarding. Staged (period bound in filter): gasp_staged_gasp_cost_per_onboarding holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cost_per_onboarding\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'onboarding') / count_distinct(field.onboarding_id where in_period(field.onboarding_completion_date))\",\"staged\":true}" - name: gasp_time_spent_per_onboarding expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_time_spent_per_onboarding.value) description: Time Spent per Onboarding. Total hours invested per customer onboarding. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/time-spent-per-onboarding. Staged (period bound in filter): gasp_staged_gasp_time_spent_per_onboarding holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_spent_per_onboarding","gasp_version":"1","unit":"hours","formula":"sum(field.hours where in_period(field.onboarding_completion_date)) / count_distinct(field.onboarding_id where in_period(field.onboarding_completion_date))","staged":true}' - name: gasp_day_30_retention_post_onboarding expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN ((customer.onboarding_completion_date IS NOT NULL AND customer.customer_status = 'active') AND DATEDIFF(day, customer.onboarding_completion_date, customer.last_active_date) >= 30) THEN customer.customer_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN customer.onboarding_completion_date IS NOT NULL THEN customer.customer_id END), 0)) description: 30-Day Retention (Post-Onboarding). Percentage of customers still active 30 days after onboarding completion. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/30-day-retention-post-onboarding. Reads the customer snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"day_30_retention_post_onboarding\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.customer_id where field.onboarding_completion_date is not null and field.customer_status = 'active' and (field.last_active_date - field.onboarding_completion_date) >= 30) / count_distinct(field.customer_id where field.onboarding_completion_date is not null)\"}" - name: gasp_feature_adoption_at_go_live expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN product_event.usage_count > 0 THEN product_event.feature_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT feature.feature_id), 0)) description: Feature Adoption at Go-Live. Percentage of available features being used at go-live. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/feature-adoption-at-go-live. Reads the feature snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"feature_adoption_at_go_live","gasp_version":"1","unit":"percent","formula":"count_distinct(field.feature_id where field.usage_count > 0) / count_distinct(field.feature_id)"}' - name: gasp_total_headcount expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN employee.employee_status = 'active' THEN employee.employee_id END) description: Total Headcount. Total number of active employees at the end of the period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/total-headcount. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"total_headcount\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.employee_id where field.employee_status = 'active') at period_end\"}" - name: gasp_total_headcount_by_department expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN employee.employee_status = 'active' THEN employee.employee_id END) description: Total Headcount, by_department breakdown. Total number of active employees at the end of the period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/total-headcount. Broken down by department: report one value per department by grouping on the department field of each dataset the expression reads. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"total_headcount\",\"gasp_version\":\"1\",\"variant\":\"by_department\",\"unit\":\"count\",\"formula\":\"count_distinct(field.employee_id where field.employee_status = 'active') at period_end\",\"gasp_breakdown\":\"department\"}" - name: gasp_headcount_growth_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_headcount_growth_rate.value) description: Headcount Growth Rate. Percentage change in headcount over a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/headcount-growth-rate. Staged (at period_start): gasp_staged_gasp_headcount_growth_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"headcount_growth_rate","gasp_version":"1","unit":"percent","formula":"(metric.total_headcount at period_end - metric.total_headcount at period_start) / metric.total_headcount at period_start","staged":true}' - name: gasp_employee_turnover expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_employee_turnover.value) description: Employee Turnover Rate. Percentage of employees who left in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/employee-turnover-rate. Staged (at period_start): gasp_staged_gasp_employee_turnover holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"employee_turnover","gasp_version":"1","unit":"percent","formula":"count_distinct(field.employee_id where field.termination_date >= period_start and field.termination_date <= period_end) / ((metric.total_headcount at period_start + metric.total_headcount at period_end) / 2)","staged":true}' - name: gasp_employee_turnover_by_department expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_employee_turnover_by_department.value) description: Employee Turnover Rate, by_department breakdown. Percentage of employees who left in a period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/employee-turnover-rate. Broken down by department: report one value per department. Staged (at period_start): gasp_staged_gasp_employee_turnover_by_department holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"employee_turnover","gasp_version":"1","variant":"by_department","unit":"percent","formula":"count_distinct(field.employee_id where field.termination_date >= period_start and field.termination_date <= period_end) / ((metric.total_headcount at period_start + metric.total_headcount at period_end) / 2)","gasp_breakdown":"department","staged":true}' - name: gasp_voluntary_turnover_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_voluntary_turnover_rate.value) description: Voluntary Turnover Rate. Turnover due to employee choice (resignations). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/voluntary-turnover-rate. Staged (at period_start): gasp_staged_gasp_voluntary_turnover_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"voluntary_turnover_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.employee_id where field.termination_type = 'voluntary' and in_period(field.termination_date)) / ((metric.total_headcount at period_start + metric.total_headcount at period_end) / 2)\",\"staged\":true}" - name: gasp_voluntary_turnover_rate_by_department expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_voluntary_turnover_rate_by_department.value) description: Voluntary Turnover Rate, by_department breakdown. Turnover due to employee choice (resignations). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/voluntary-turnover-rate. Broken down by department: report one value per department. Staged (at period_start): gasp_staged_gasp_voluntary_turnover_rate_by_department holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"voluntary_turnover_rate\",\"gasp_version\":\"1\",\"variant\":\"by_department\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.employee_id where field.termination_type = 'voluntary' and in_period(field.termination_date)) / ((metric.total_headcount at period_start + metric.total_headcount at period_end) / 2)\",\"gasp_breakdown\":\"department\",\"staged\":true}" - name: gasp_involuntary_turnover_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_involuntary_turnover_rate.value) description: Involuntary Turnover Rate. Turnover due to company decision (terminations, layoffs). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/involuntary-turnover-rate. Staged (at period_start): gasp_staged_gasp_involuntary_turnover_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"involuntary_turnover_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.employee_id where field.termination_type = 'involuntary' and in_period(field.termination_date)) / ((metric.total_headcount at period_start + metric.total_headcount at period_end) / 2)\",\"staged\":true}" - name: gasp_regrettable_turnover expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_regrettable_turnover.value) description: Regrettable Turnover. Voluntary departures of high performers, as a share of the high performers employed at the start of the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/regrettable-turnover. Staged (at period_start): gasp_staged_gasp_regrettable_turnover holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"regrettable_turnover\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.employee_id where field.termination_type = 'voluntary' and field.is_high_performer = true and in_period(field.termination_date)) / count_distinct(field.employee_id where field.is_high_performer = true and field.employee_status = 'active') at period_start\",\"staged\":true}" - name: gasp_average_tenure expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(AVG(CASE WHEN employee.employee_status = 'active' THEN DATEDIFF(day, employee.hire_date, employee.snapshot_date) END) AS DECIMAL) / 30.4375) description: Average Tenure. Average length of employment. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/average-tenure. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"average_tenure\",\"gasp_version\":\"1\",\"unit\":\"months\",\"formula\":\"(avg(field.snapshot_date - field.hire_date where field.employee_status = 'active') at period_end) / 30.4375\"}" - name: gasp_day_90_turnover expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_day_90_turnover.value) description: 90-Day Turnover. Percentage of new hires who leave within 90 days. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/90-day-turnover. Staged (period bound in filter): gasp_staged_gasp_day_90_turnover holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"day_90_turnover","gasp_version":"1","unit":"percent","formula":"count_distinct(field.employee_id where field.termination_date is not null and field.termination_date - field.hire_date <= 90) / count_distinct(field.employee_id where field.hire_date >= period_start and field.hire_date <= period_end)","staged":true}' - name: gasp_day_90_turnover_by_hire_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_day_90_turnover_by_hire_source.value) description: 90-Day Turnover, by_hire_source breakdown. Percentage of new hires who leave within 90 days. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/90-day-turnover. Broken down by hire_source: report one value per hire_source. Staged (period bound in filter): gasp_staged_gasp_day_90_turnover_by_hire_source holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"day_90_turnover","gasp_version":"1","variant":"by_hire_source","unit":"percent","formula":"count_distinct(field.employee_id where field.termination_date is not null and field.termination_date - field.hire_date <= 90) / count_distinct(field.employee_id where field.hire_date >= period_start and field.hire_date <= period_end)","gasp_breakdown":"hire_source","staged":true}' - name: gasp_enps expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((CAST((COUNT(CASE WHEN (survey_response.survey_type = 'employee' AND survey_response.nps_score >= 9) THEN survey_response.nps_score END) - COUNT(CASE WHEN (survey_response.survey_type = 'employee' AND survey_response.nps_score <= 6) THEN survey_response.nps_score END)) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'employee' THEN survey_response.nps_score END), 0)) * 100) description: Employee Net Promoter Score (eNPS). Likelihood of employees recommending the company as a place to work. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/employee-net-promoter-score-enps." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"enps\",\"gasp_version\":\"1\",\"unit\":\"score\",\"formula\":\"(count(field.nps_score where field.survey_type = 'employee' and field.nps_score >= 9) - count(field.nps_score where field.survey_type = 'employee' and field.nps_score <= 6)) / count(field.nps_score where field.survey_type = 'employee') * 100\"}" - name: gasp_engagement_score expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(CASE WHEN survey_response.survey_type = 'employee' THEN survey_response.engagement_score END) description: Engagement Score. Composite score from engagement survey. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/engagement-score." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"engagement_score\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"avg(field.engagement_score where field.survey_type = 'employee')\"}" - name: gasp_survey_participation_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN (survey_response.survey_type = 'employee' AND survey_response.survey_completed = TRUE) THEN survey_response.response_id END) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'employee' THEN survey_response.response_id END), 0)) description: Survey Participation Rate. Percentage of employees completing engagement surveys. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/survey-participation-rate." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"survey_participation_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.response_id where field.survey_type = 'employee' and field.survey_completed = true) / count(field.response_id where field.survey_type = 'employee')\"}" - name: gasp_open_positions expression: dialects: - dialect: OSSIE_SQL_2026 expression: COUNT(DISTINCT CASE WHEN requisition.requisition_status = 'open' THEN requisition.requisition_id END) description: Open Positions. Number of open requisitions (unfilled roles) at the end of the period. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/open-positions. Reads the requisition snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"open_positions\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"count_distinct(field.requisition_id where field.requisition_status = 'open') at period_end\"}" - name: gasp_time_to_fill expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_time_to_fill.value) description: Time to Fill. Days from a requisition opening to it being filled with an accepted offer, for requisitions filled in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/time-to-fill. Staged (period bound in filter): gasp_staged_gasp_time_to_fill holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_to_fill","gasp_version":"1","unit":"days","formula":"avg(field.filled_date - field.requisition_opened_date where in_period(field.filled_date))","staged":true}' - name: gasp_time_to_hire expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_time_to_hire.value) description: Time to Hire. Days from the hired employee's application to their start date, for employees hired in the period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/time-to-hire. Staged (period bound in filter): gasp_staged_gasp_time_to_hire holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"time_to_hire","gasp_version":"1","unit":"days","formula":"avg(field.hire_date - field.application_date where in_period(field.hire_date))","staged":true}' - name: gasp_offer_acceptance_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(CASE WHEN requisition.offer_status = 'accepted' THEN requisition.requisition_id END) AS DECIMAL) / NULLIF(COUNT(CASE WHEN requisition.offer_status IN ('accepted', 'declined') THEN requisition.requisition_id END), 0)) description: Offer Acceptance Rate. Percentage of offers accepted. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/offer-acceptance-rate. Reads the requisition snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"offer_acceptance_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count(field.requisition_id where field.offer_status = 'accepted') / count(field.requisition_id where field.offer_status in ('accepted', 'declined'))\"}" - name: gasp_quality_of_hire expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG(CASE WHEN ((employee.hire_date IS NOT NULL AND DATEDIFF(day, employee.hire_date, employee.snapshot_date) >= 182) AND DATEDIFF(day, employee.hire_date, employee.snapshot_date) <= 365) THEN employee.performance_rating END) description: Quality of Hire. Performance rating of new hires after defined period. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/quality-of-hire. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"quality_of_hire","gasp_version":"1","unit":"score","formula":"avg(field.performance_rating where field.hire_date is not null and field.snapshot_date - field.hire_date >= 182 and field.snapshot_date - field.hire_date <= 365)"}' - name: gasp_cost_per_hire expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cost_per_hire.value) description: Cost per Hire. Total recruiting cost divided by hires made. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/cost-per-hire. Staged (period bound in filter): gasp_staged_gasp_cost_per_hire holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cost_per_hire\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'recruiting') / count_distinct(field.employee_id where field.hire_date >= period_start and field.hire_date <= period_end)\",\"staged\":true}" - name: gasp_source_of_hire expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_source_of_hire.value) description: Source of Hire. Where successful candidates came from. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/source-of-hire. Broken down by hire_source: report one value per hire_source. Staged (total): gasp_staged_gasp_source_of_hire holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"source_of_hire","gasp_version":"1","unit":"percent","formula":"count_distinct(field.employee_id where in_period(field.hire_date)) / total(count_distinct(field.employee_id where in_period(field.hire_date)))","gasp_breakdown":"hire_source","staged":true}' - name: gasp_compa_ratio expression: dialects: - dialect: OSSIE_SQL_2026 expression: AVG((CAST(employee.salary AS DECIMAL) / NULLIF(employee.market_midpoint, 0))) description: Compa-Ratio. Employee salary relative to market midpoint. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/compa-ratio. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"compa_ratio","gasp_version":"1","unit":"percent","formula":"avg(field.salary / field.market_midpoint)"}' - name: gasp_pay_equity_ratio expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(AVG(CASE WHEN employee.underrepresented_group = TRUE THEN employee.salary END) AS DECIMAL) / NULLIF(AVG(CASE WHEN employee.underrepresented_group = FALSE THEN employee.salary END), 0)) description: Pay Equity Ratio. Pay comparison across demographic groups for same role. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/pay-equity-ratio. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"pay_equity_ratio","gasp_version":"1","unit":"ratio","formula":"avg(field.salary where field.underrepresented_group = true) / avg(field.salary where field.underrepresented_group = false)"}' - name: gasp_diversity_representation expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN (employee.underrepresented_group = TRUE AND employee.employee_status = 'active') THEN employee.employee_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN employee.employee_status = 'active' THEN employee.employee_id END), 0)) description: Diversity Representation. Percentage of workforce from underrepresented groups. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/diversity-representation. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"diversity_representation\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.employee_id where field.underrepresented_group = true and field.employee_status = 'active') / count_distinct(field.employee_id where field.employee_status = 'active') at period_end\"}" - name: gasp_diversity_in_leadership expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN ((employee.underrepresented_group = TRUE AND employee.job_level IN ('manager', 'director', 'vp', 'c_level')) AND employee.employee_status = 'active') THEN employee.employee_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN (employee.job_level IN ('manager', 'director', 'vp', 'c_level') AND employee.employee_status = 'active') THEN employee.employee_id END), 0)) description: Diversity in Leadership. Representation at manager+ levels. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/diversity-in-leadership. Reads the employee snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"diversity_in_leadership\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.employee_id where field.underrepresented_group = true and field.job_level in ('manager', 'director', 'vp', 'c_level') and field.employee_status = 'active') / count_distinct(field.employee_id where field.job_level in ('manager', 'director', 'vp', 'c_level') and field.employee_status = 'active') at period_end\"}" - name: gasp_diversity_hiring_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_diversity_hiring_rate.value) description: Diversity Hiring Rate. Percentage of new hires from underrepresented groups. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/people/diversity-hiring-rate. Staged (period bound in filter): gasp_staged_gasp_diversity_hiring_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"diversity_hiring_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.employee_id where field.underrepresented_group = true and field.hire_date >= period_start and field.hire_date <= period_end) / count_distinct(field.employee_id where field.hire_date >= period_start and field.hire_date <= period_end)","staged":true}' - name: gasp_visitors expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(web_traffic.unique_visitors) description: Visitors. Unique visitors to owned properties (website, app). datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/visitors." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"visitors","gasp_version":"1","unit":"count","formula":"sum(field.unique_visitors)"}' - name: gasp_visitor_to_lead_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_visitor_to_lead_rate.value) description: Visitor-to-Lead Rate. Percentage of website visitors who become leads. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/visitor-to-lead-rate. Staged (period bound in filter): gasp_staged_gasp_visitor_to_lead_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"visitor_to_lead_rate","gasp_version":"1","unit":"percent","formula":"metric.leads / metric.visitors","staged":true}' - name: gasp_leads expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_leads.value) description: Leads. Contacts who have expressed interest (form fill, signup, etc.). datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/leads. Staged (period bound in filter): gasp_staged_gasp_leads holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"leads","gasp_version":"1","unit":"count","formula":"count_distinct(field.lead_id where in_period(field.lead_created_date))","staged":true}' - name: gasp_leads_by_lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_leads_by_lead_source.value) description: Leads, by_lead_source breakdown. Contacts who have expressed interest (form fill, signup, etc.). datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/leads. Broken down by lead_source: report one value per lead_source. Staged (period bound in filter): gasp_staged_gasp_leads_by_lead_source holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"leads","gasp_version":"1","variant":"by_lead_source","unit":"count","formula":"count_distinct(field.lead_id where in_period(field.lead_created_date))","gasp_breakdown":"lead_source","staged":true}' - name: gasp_leads_by_lead_stage expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_leads_by_lead_stage.value) description: Leads, by_lead_stage breakdown. Contacts who have expressed interest (form fill, signup, etc.). datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/leads. Broken down by lead_stage: report one value per lead_stage. Staged (period bound in filter): gasp_staged_gasp_leads_by_lead_stage holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"leads","gasp_version":"1","variant":"by_lead_stage","unit":"count","formula":"count_distinct(field.lead_id where in_period(field.lead_created_date))","gasp_breakdown":"lead_stage","staged":true}' - name: gasp_mqls expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_mqls.value) description: Marketing Qualified Leads (MQLs). Leads that have demonstrated sufficient engagement and intent to warrant sales attention, based on criteria established between marketing and sales. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/marketing-qualified-leads-mqls. Staged (period bound in filter): gasp_staged_gasp_mqls holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mqls","gasp_version":"1","unit":"count","formula":"count_distinct(field.lead_id where in_period(field.mql_date))","staged":true}' - name: gasp_mqls_by_lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_mqls_by_lead_source.value) description: Marketing Qualified Leads (MQLs), by_lead_source breakdown. Leads that have demonstrated sufficient engagement and intent to warrant sales attention, based on criteria established between marketing and sales. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/marketing-qualified-leads-mqls. Broken down by lead_source: report one value per lead_source. Staged (period bound in filter): gasp_staged_gasp_mqls_by_lead_source holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mqls","gasp_version":"1","variant":"by_lead_source","unit":"count","formula":"count_distinct(field.lead_id where in_period(field.mql_date))","gasp_breakdown":"lead_source","staged":true}' - name: gasp_lead_to_mql_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_lead_to_mql_rate.value) description: Lead-to-MQL Rate. Percentage of leads that become MQLs. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/lead-to-mql-rate. Staged (period bound in filter): gasp_staged_gasp_lead_to_mql_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"lead_to_mql_rate","gasp_version":"1","unit":"percent","formula":"metric.mqls / metric.leads","staged":true}' - name: gasp_lead_to_mql_rate_by_lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_lead_to_mql_rate_by_lead_source.value) description: Lead-to-MQL Rate, by_lead_source breakdown. Percentage of leads that become MQLs. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/lead-to-mql-rate. Broken down by lead_source: report one value per lead_source. Staged (period bound in filter): gasp_staged_gasp_lead_to_mql_rate_by_lead_source holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"lead_to_mql_rate","gasp_version":"1","variant":"by_lead_source","unit":"percent","formula":"metric.mqls / metric.leads","gasp_breakdown":"lead_source","staged":true}' - name: gasp_sqls expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_sqls.value) description: Sales Qualified Leads (SQLs). MQLs accepted by sales as worth pursuing. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/sales-qualified-leads-sqls. Staged (period bound in filter): gasp_staged_gasp_sqls holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"sqls","gasp_version":"1","unit":"count","formula":"count_distinct(field.lead_id where in_period(field.sql_date))","staged":true}' - name: gasp_mql_to_sql_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_mql_to_sql_rate.value) description: MQL-to-SQL Rate. Percentage of MQLs accepted by sales as qualified. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/mql-to-sql-rate. Staged (period bound in filter): gasp_staged_gasp_mql_to_sql_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mql_to_sql_rate","gasp_version":"1","unit":"percent","formula":"metric.sqls / metric.mqls","staged":true}' - name: gasp_mql_to_sql_rate_by_lead_source expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_mql_to_sql_rate_by_lead_source.value) description: MQL-to-SQL Rate, by_lead_source breakdown. Percentage of MQLs accepted by sales as qualified. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/mql-to-sql-rate. Broken down by lead_source: report one value per lead_source. Staged (period bound in filter): gasp_staged_gasp_mql_to_sql_rate_by_lead_source holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"mql_to_sql_rate","gasp_version":"1","variant":"by_lead_source","unit":"percent","formula":"metric.sqls / metric.mqls","gasp_breakdown":"lead_source","staged":true}' - name: gasp_sql_to_opportunity_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_sql_to_opportunity_rate.value) description: SQL-to-Opportunity Rate. Percentage of SQLs that become pipeline opportunities. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/sql-to-opportunity-rate. Staged (period bound in filter): gasp_staged_gasp_sql_to_opportunity_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"sql_to_opportunity_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.opportunity_id where in_period(field.opportunity_created_date)) / metric.sqls","staged":true}' - name: gasp_lvr expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_lvr.value) description: Lead Velocity Rate (LVR). Month-over-month growth in qualified leads (MQLs). datatype: Decimal ai_context: synonyms: - LVR instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/lead-velocity-rate-lvr. Staged (lag): gasp_staged_gasp_lvr holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"lvr","gasp_version":"1","unit":"percent","formula":"(metric.mqls - lag(metric.mqls, 1 month)) / lag(metric.mqls, 1 month)","staged":true}' - name: gasp_marketing_cac expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN (cost_event.cost_function = 'gtm' AND cost_event.cost_centre = 'marketing') THEN cost_event.cost ELSE 0 END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN revenue_event.event_type = 'new' THEN revenue_event.customer_id END), 0)) description: "Marketing CAC. Marketing-only portion of acquisition cost: go-to-market cost booked to the marketing cost centre, divided by all new customers in the period." datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/marketing-cac." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"marketing_cac\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'gtm' and field.cost_centre = 'marketing') / count_distinct(field.customer_id where field.event_type = 'new')\"}" - name: gasp_cac_by_channel expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cac_by_channel.value) description: CAC by Channel. Customer acquisition cost broken down by marketing channel. datatype: Decimal ai_context: synonyms: - CAC instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/cac-by-channel. Broken down by channel: report one value per channel. Staged (period bound in filter): gasp_staged_gasp_cac_by_channel holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cac_by_channel\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.ad_spend) / count_distinct(field.opportunity_id where field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"gasp_breakdown\":\"channel\",\"staged\":true}" - name: gasp_cpl expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cpl.value) description: Cost per Lead (CPL). Cost to acquire a lead. datatype: Decimal ai_context: synonyms: - CPL instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/cost-per-lead-cpl. Staged (period bound in filter): gasp_staged_gasp_cpl holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cpl\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'gtm' and field.cost_centre = 'marketing') / metric.leads\",\"staged\":true}" - name: gasp_cost_per_mql expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_cost_per_mql.value) description: Cost per MQL. Cost to acquire a marketing qualified lead. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/cost-per-mql. Staged (period bound in filter): gasp_staged_gasp_cost_per_mql holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"cost_per_mql\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.cost where field.cost_function = 'gtm' and field.cost_centre = 'marketing') / metric.mqls\",\"staged\":true}" - name: gasp_marketing_sourced_pipeline expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN (opportunity.marketing_source = 'marketing' AND opportunity.opportunity_stage NOT IN ('closed_won', 'closed_lost')) THEN opportunity.opportunity_amount ELSE 0 END) description: Marketing Sourced Pipeline. Pipeline value attributed to marketing efforts (first-touch attribution). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/marketing-sourced-pipeline. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"marketing_sourced_pipeline\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.marketing_source = 'marketing' and field.opportunity_stage not in ('closed_won', 'closed_lost'))\"}" - name: gasp_marketing_sourced_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_marketing_sourced_revenue.value) description: Marketing Sourced Revenue. Closed revenue attributed to marketing efforts (first-touch attribution). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/marketing-sourced-revenue. Staged (period bound in filter): gasp_staged_gasp_marketing_sourced_revenue holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"marketing_sourced_revenue\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.marketing_source = 'marketing' and field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_marketing_influenced_pipelinerevenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN (opportunity.marketing_influenced = TRUE AND opportunity.opportunity_stage NOT IN ('closed_won', 'closed_lost')) THEN opportunity.opportunity_amount ELSE 0 END) description: Marketing Influenced Pipeline/Revenue. Pipeline or revenue where marketing touched the deal at any point (multi-touch attribution). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/marketing-influenced-pipelinerevenue. Reads the opportunity snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"marketing_influenced_pipelinerevenue\",\"gasp_version\":\"1\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.marketing_influenced = true and field.opportunity_stage not in ('closed_won', 'closed_lost'))\"}" - name: gasp_marketing_influenced_pipelinerevenue_revenue expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_marketing_influenced_pipelinerevenue_revenue.value) description: Marketing Influenced Pipeline/Revenue, revenue variant. Pipeline or revenue where marketing touched the deal at any point (multi-touch attribution). datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/marketing-influenced-pipelinerevenue. Staged (period bound in filter): gasp_staged_gasp_marketing_influenced_pipelinerevenue_revenue holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"marketing_influenced_pipelinerevenue\",\"gasp_version\":\"1\",\"variant\":\"revenue\",\"unit\":\"currency\",\"formula\":\"sum(field.opportunity_amount where field.marketing_influenced = true and field.opportunity_stage = 'closed_won' and in_period(field.close_date))\",\"staged\":true}" - name: gasp_organic_traffic expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(CASE WHEN web_traffic.traffic_source = 'organic_search' THEN web_traffic.unique_visitors ELSE 0 END) description: Organic Traffic. Visitors from unpaid search. datatype: Integer ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/organic-traffic." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"organic_traffic\",\"gasp_version\":\"1\",\"unit\":\"count\",\"formula\":\"sum(field.unique_visitors where field.traffic_source = 'organic_search')\"}" - name: gasp_paid_media_efficiency_roas expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_paid_media_efficiency_roas.value) description: "Paid Media Efficiency (ROAS). Return on ad spend: closed won revenue from the paid ads channel in the period, divided by paid ad spend." datatype: Decimal ai_context: synonyms: - ROAS instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/paid-media-efficiency-roas. Staged (period bound in filter): gasp_staged_gasp_paid_media_efficiency_roas holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"paid_media_efficiency_roas\",\"gasp_version\":\"1\",\"unit\":\"ratio\",\"formula\":\"sum(field.opportunity_amount where field.channel = 'paid_ads' and field.opportunity_stage = 'closed_won' and in_period(field.close_date)) / sum(field.ad_spend where field.channel = 'paid_ads')\",\"staged\":true}" - name: gasp_share_of_voice expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(SUM(CASE WHEN brand_mention.is_competitor = FALSE THEN brand_mention.mention_count ELSE 0 END) AS DECIMAL) / NULLIF(SUM(brand_mention.mention_count), 0)) description: Share of Voice. Brand mentions relative to competitors. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/share-of-voice." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"share_of_voice","gasp_version":"1","unit":"percent","formula":"sum(field.mention_count where field.is_competitor = false) / sum(field.mention_count)"}' - name: gasp_nps_marketing_context expression: dialects: - dialect: OSSIE_SQL_2026 expression: ((CAST((COUNT(CASE WHEN (survey_response.survey_type = 'prospect' AND survey_response.nps_score >= 9) THEN survey_response.nps_score END) - COUNT(CASE WHEN (survey_response.survey_type = 'prospect' AND survey_response.nps_score <= 6) THEN survey_response.nps_score END)) AS DECIMAL) / NULLIF(COUNT(CASE WHEN survey_response.survey_type = 'prospect' THEN survey_response.nps_score END), 0)) * 100) description: NPS (Marketing context). Net Promoter Score for prospects/market (vs customers). datatype: Decimal ai_context: synonyms: - NPS instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/marketing/nps-marketing-context." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"nps_marketing_context\",\"gasp_version\":\"1\",\"unit\":\"score\",\"formula\":\"(count(field.nps_score where field.survey_type = 'prospect' and field.nps_score >= 9) - count(field.nps_score where field.survey_type = 'prospect' and field.nps_score <= 6)) / count(field.nps_score where field.survey_type = 'prospect') * 100\"}" - name: gasp_onboarding_milestone_completion_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_onboarding_milestone_completion_rate.value) description: Onboarding Milestone Completion Rate. Percentage of due onboarding milestones that customers reach. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/onboarding/onboarding-milestone-completion-rate. Staged (all_time): gasp_staged_gasp_onboarding_milestone_completion_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"onboarding_milestone_completion_rate","gasp_version":"1","unit":"percent","formula":"all_time(count(field.onboarding_id where in_period(field.milestone_due_date) and field.milestone_date is not null and field.milestone_date <= period_end)) / all_time(count(field.onboarding_id where in_period(field.milestone_due_date)))","staged":true}' - name: gasp_project_milestone_completion_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_project_milestone_completion_rate.value) description: Project Milestone Completion Rate. Percentage of milestones completed on schedule. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/project-milestone-completion-rate. Staged (period bound in filter): gasp_staged_gasp_project_milestone_completion_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"project_milestone_completion_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.project_milestone_id where in_period(field.actual_date) and field.actual_date <= field.planned_date) / count_distinct(field.project_milestone_id where in_period(field.actual_date))","staged":true}' - name: gasp_ticket_escalation_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN ticket.escalated = TRUE THEN ticket.ticket_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT ticket.ticket_id), 0)) description: Ticket Escalation Rate. Percentage of tickets escalated to higher tier or engineering. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/support/ticket-escalation-rate." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"ticket_escalation_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.ticket_id where field.escalated = true) / count_distinct(field.ticket_id)"}' - name: gasp_project_escalation_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN project.escalated = TRUE THEN project.project_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT project.project_id), 0)) description: Project Escalation Rate. Percentage of projects with escalations. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/professional-services/project-escalation-rate. Reads the project snapshot: select one snapshot date (the period end) with the time dimension, since summing snapshot rows across dates double counts." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"project_escalation_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.project_id where field.escalated = true) / count_distinct(field.project_id)"}' - name: gasp_product_activation_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_product_activation_rate.value) description: Activation Rate. Percentage of users who signed up in the period that reached the activation milestone. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/activation-rate. Staged (period bound in filter): gasp_staged_gasp_product_activation_rate holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: '{"gasp_id":"product_activation_rate","gasp_version":"1","unit":"percent","formula":"count_distinct(field.user_id where in_period(field.signup_date) and field.activation_date is not null) / count_distinct(field.user_id where in_period(field.signup_date))","staged":true}' - name: gasp_trial_to_paid_conversion_rate expression: dialects: - dialect: OSSIE_SQL_2026 expression: (CAST(COUNT(DISTINCT CASE WHEN trial.trial_status = 'converted' THEN trial.trial_id END) AS DECIMAL) / NULLIF(COUNT(DISTINCT CASE WHEN trial.trial_status IN ('converted', 'expired', 'cancelled') THEN trial.trial_id END), 0)) description: Trial-to-Paid Conversion Rate. The percentage of trials that ended in the period and became paying customers. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/trial-to-paid-conversion-rate." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"trial_to_paid_conversion_rate\",\"gasp_version\":\"1\",\"unit\":\"percent\",\"formula\":\"count_distinct(field.trial_id where field.trial_status = 'converted' and in_period(field.trial_end_date)) / count_distinct(field.trial_id where field.trial_status in ('converted', 'expired', 'cancelled') and in_period(field.trial_end_date))\"}" - name: gasp_trial_to_paid_conversion_rate_by_start_date expression: dialects: - dialect: OSSIE_SQL_2026 expression: SUM(gasp_staged_gasp_trial_to_paid_conversion_rate_by_start_date.value) description: Trial-to-Paid Conversion Rate, by_start_date variant. The percentage of trials that ended in the period and became paying customers. datatype: Decimal ai_context: instructions: "Canonical definition: https://gaspwiki.com/v1/metrics/product/trial-to-paid-conversion-rate. Staged (all_time): gasp_staged_gasp_trial_to_paid_conversion_rate_by_start_date holds one row per reporting period, so filter its period_start to one period. gasp.period_spine is a table of (period_start, period_end) rows the adopter provides." custom_extensions: - vendor_name: GASP data: "{\"gasp_id\":\"trial_to_paid_conversion_rate\",\"gasp_version\":\"1\",\"variant\":\"by_start_date\",\"unit\":\"percent\",\"formula\":\"all_time(count_distinct(field.trial_id where field.trial_status = 'converted' and in_period(field.trial_start_date))) / all_time(count_distinct(field.trial_id where in_period(field.trial_start_date)))\",\"staged\":true}"