Traffic mix
Country, game, campaign, and acquisition period.
Find traffic that brings players back
Player attribution shows which sources bring engaged audiences that return to your games.
Acquisition and returnsFirst-launch cohort: 1-7 September
First-week return32%
397 of 1,240 players returned in the first week.
Share of the initial cohort. Repeat activity on days 7-13 after the first launch.Matching observation windows
W0100%W132%W226%W321%W418%
First-week return46%
396 of 860 players returned in the first week.
Share of the initial cohort. Repeat activity on days 7-13 after the first launch.Matching observation windows
W0100%W146%W239%W333%W429%
Similar volume, different value
High launch counts can hide short sessions and low returns. Add activity metrics to volume and follow cohorts beyond the initial result.
Cohorts instead of mixed periods
Group players by their first observed launch period. Compare W1 with W1, rather than new and mature cohorts. Account for cohort size and data availability.
What to discuss with a partner
Behavior
Spins, session duration, and returns.
Next experiment
Which variable to change and which outcome to evaluate.
See which sources bring your players
Explore real-time game analytics and player attribution across acquisition sources in a demo.
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