Comparable conditions
Game, GEO, source, and cohort age.
Compare comparable groups
There is no published Playerly benchmark dataset yet. Start with the rules that make comparisons useful.
Every rate starts with a player group
Define who is counted, the observation period, and which event means a return. The same formula can then describe the same metric.
Returning playersOriginal cohort× 100Return rate, %
Before comparing, check
- Same game
- Same GEO
- Same acquisition period
- Complete return window
Why there is no universal W1 target
Returns depend on the game, country, source, and timing. An industry average can mislead without its sample composition and metric definition.
Minimum comparison context
Size and coverage
Original group size, matched-event coverage, and incomplete periods.
Method
Formula, calendar, exclusions, and extraction date.
Start with your own cohorts
Compare two sources within one game and country. Repeat in another period before treating the result as stable. The source-comparison guide helps you prepare this analysis.
Explore your goals with Playerly
Explore the right scenario for your games or traffic sources: player analytics, attribution, and collaboration between providers and affiliates.
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