Table 3From “What is activation rate? The first value event must be observable”
Activation rate dashboard: which fields, dimensions, and review cadence matter?
Table 3Activation rate dashboard: which fields, dimensions, and review cadence matter?
| Dashboard component | What to keep visible | Why it matters |
|---|---|---|
| Metric identity | Unit grain, cohort-entry event, and metric version | Prevents denominator drift |
| First-value event | Event name, required properties, timestamp, and one-time rule | Separates customer value from setup and repeated usage |
| Observation window | Length, timezone, and cohort-maturity cutoff | Keeps late events and immature cohorts visible |
| Dimensions | Plan, segment, channel, region, lifecycle stage, and any eligibility filter | Exposes mix changes before they are read as product change |
| Data quality | Missingness, duplicates, late arrivals, schema changes, and backfills | Distinguishes tracking movement from customer behavior |
| Review cadence | Owner, review date, comparison, trigger, action, and escalation | Turns a dashboard into a decision instrument |
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Growth that compounds
What is activation rate? The first value event must be observable
Activation rate is the share of an eligible cohort reaching a declared first-value event inside a fixed window. Define the event first.
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