Player Behavior & Engagement Patterns
Go beyond downloads to understand how players actually engage. Track session frequency, session length distribution, day-7 and day-30 retention benchmarks, and engagement decay curves at the genre and title level. Identify which game mechanics correlate with the stickiest engagement patterns and benchmark your own retention against category medians. All behavioral signals are aggregated and anonymized — no individual player data is ever exposed.
Cross-App Usage & Title Affinity
Discover which other games and apps your audience uses. The cross-app affinity graph reveals unexpected overlaps — strategy game players who love fitness apps, puzzle players who over-index on recipe content — that unlock creative UA targeting and partnership opportunities. Compare audience overlap between any two titles to size the addressable market for cross-promotion or competitive conquesting campaigns.
Audience Profiles & Segmentation
Build rich audience profiles by combining behavioral, demographic, and interest signals. Segment players by engagement tier (whale, dolphin, minnow), by genre preference, by geographic cluster, or by monetization behavior. Export segments directly into your marketing stack for targeted campaigns, or use them to inform product decisions — which features resonate with your highest-value players, and which cohorts are at risk of churning.
Cross-App Affinity
See which other games and apps your audience uses to unlock new targeting opportunities.
Retention Benchmarks
Day-1, day-7, and day-30 retention benchmarks by genre, sub-genre, and geography.
Audience Segmentation
Build player segments by behavior, value tier, and interest for precision marketing.