Cohort quality: D1 retention vs D7 payer rate divergence lab

Editorial collage hero: measurement-lab-d1-retention-vs-d7-payer-divergence

High D1 with low payers is a creative-market mismatch signal. Illustrative divergence index with retention definition context.

A creative that lifts D1 retention while D7 payer rate falls is often a promise mismatch, not a UA win. Measure both on the same cohort before scaling.

Definitions

GameAnalytics on retention (updated 23 April 2026) defines retention as the share of players who installed on a day and returned on a later day, and warns that shorthand curves such as 40/20/10 are not universal across genres. Purchase and revenue events remain operator KPIs in the MMP (AppsFlyer in-app events overview).

Synthetic divergence

MetricValueStatus
Installs10,000illustrative
D1 retained3,200 (32%)illustrative
D7 unique payers180 (1.8%)illustrative
Payers per 100 D1 retained5.625calculated

Compare payers_per_100_d1 across creatives on the same geo and bid type. A rising D1 with a falling ratio is the mismatch signal.

Facts vs limits

FactLimit
Retention is return-rate by definition in the cited GA pieceNo industry “good” payer-per-D1 average is claimed here
Same-cohort comparison is the methodSKAN-only iOS cells may lack payer granularity

CSV.

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