Breadth of Adoption

Breadth of Adoption: Average number of features used per account.

Formula

Breadth = Distinct (account, feature) pairs used in period / Active accounts

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.customer_id, field.feature_id) / metric.active_accounts

Unit: ratio

Notes: Distinct (account, feature) pairs used in the period over active accounts: the average number of features each active account uses. Both fields are on product_event.

Data requirements

Grain: Per event, aggregate monthly · Frequency: Daily · Aggregation: aggregate (month) · Staged: no · Main source: Product Analytics.

Field	Dataset	Type
`customer_id`	product_event	string
`event_date`	product_event	date
`feature_id`	product_event	string
`product_event_type`	product_event	string

Example SQL (Postgres)

SELECT (CAST((SELECT COUNT(*) FROM (SELECT DISTINCT customer_id, feature_id FROM product_event WHERE event_date >= :period_start AND event_date <= :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 product_event WHERE event_date >= :period_start AND event_date <= :period_end AND product_event_type = 'qualifying')), 0)) AS breadth_of_adoption

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

What It Tells You

How much of the product each account uses.

← Back to Product metrics