feat(analytics): add predictive churn detection - #379
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Implement ML-based churn prediction system with: - Risk scoring based on inactivity, engagement decline, and lifetime value - Four risk levels: Low, Medium, High, Critical - Estimated churn timeline (3-90 days based on risk level) - Intervention system with tracking and response recording - Model parameters for tuning prediction accuracy - Aggregate metrics for monitoring churn trends - Early warning system with at-risk player identification Features enable proactive retention campaigns and targeted interventions to reduce player churn. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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Summary
Implements ML-based churn prediction system with early warning and intervention capabilities.
Features
Criteria Met
✅ ML churn prediction
✅ Early warning system
✅ Intervention triggers
Test plan
Closes #368
🤖 Generated with Claude Code