Partnerships Partner Portfolio Efficiency

Partner Activation Rate

Partner Activation Rate: Percentage of recruited partners who become productive.

Formula

Activation Rate = Partners recruited in period now active / Partners recruited in period × 100

Computable definition

The canonical formula in the GASP formula grammar. The MCP server compiles it to SQL over the datasets listed below.

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

Unit: percent (the formula yields an unscaled ratio)

Notes: Partners recruited in the period who are active at period end over partners recruited in the period, as partnerships.md defines it. A partner moves from recruited to active status once productive (first deal registered or closed, or the engagement threshold met).

Data requirements

Grain: Per event, aggregate monthly · Frequency: Monthly · Aggregation: aggregate (month) · Staged: no · Main source: Partner Management.

Field	Dataset	Type
`partner_id`	partner	string
`partner_recruited_date`	partner	date
`partner_status`	partner	string
`snapshot_date`	partner	date

Example SQL (Postgres)

SELECT (CAST((SELECT COUNT(DISTINCT partner_id) FROM partner WHERE snapshot_date = :period_end AND ((partner_recruited_date >= :period_start AND partner_recruited_date <= :period_end) AND partner_status = 'active')) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT partner_id) FROM partner WHERE snapshot_date = :period_end AND (partner_recruited_date >= :period_start AND partner_recruited_date <= :period_end)), 0)) AS partner_activation_rate

From an agent: with the GASP MCP server, call lookup_metric({ "name": "Partner Activation Rate" }) or generate_query({ "metric": "Partner Activation Rate", "adapter": "<your adapter JSON>" }).

Benchmarks

Below 20%: Low activation
20-40%: Average
40-60%: Good
Above 60%: Strong enablement

What It Tells You

Partner onboarding and enablement effectiveness.

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