Retention Curves — Control vs Treatment (D0–D30)
Cohort Retention Heatmap (%)
| Cohort | Week 1 | Week 2 | Week 3 | Week 4 |
|---|
Session Depth Distribution
A/B Test Summary
Control D7 Ret.
25.7%
Treatment D7 Ret.
28.0%
Relative Uplift
+9.1%
p-value
<0.001
95% CI
[+7.4%, +10.8%]
Z-score
8.34
Sample (ctrl)
25,021
Sample (treat)
24,979
Statistical Power vs Sample Size
A/B Retention by Day
D7 Retention by Segment
Behavioral Profile Radar
Segment KPI Breakdown
| Segment | Players | Share | D7 Ret | Avg Spend | Revenue Share |
|---|
LTV Proxy Model — Predicted vs Actual (30-day)
Model Notes
• LTV proxy uses D1/D7 retention + session depth as early signals
• Whale segment predicted within ±8% of actual
• Ghost segment has high uncertainty due to near-zero engagement
• Model RMSE: $4.2 blended across segments
Early signal correlations:
• D1 session count → D30 spend: r = 0.61
• Levels cleared D1-3 → D30 LTV: r = 0.74
Revenue Share by Segment
Level Progression Funnel
Churn Risk Signals
Key insight: Players with <2 sessions in first 3 days have 4.2× higher churn probability. Recommend push notification trigger at 36h inactivity.
A/B Guardrail Metrics