engineering-gameplay-analytics

Track player retention by logging session lifecycle events and calculating D1/D7/D30 retention through cohort analysis. This framework provides actionable insights into player behavior by measuring engagement funnels and retention rates for game development.

Handle high-throughput game analytics event tracking by buffering events in Redis before writing them to PostgreSQL. This architecture ensures efficient data storage and buffering for large volumes of gameplay events.

Yes, you need PostgreSQL and Redis to use this gameplay analytics framework. PostgreSQL handles data storage while Redis provides event buffering for high-throughput session lifecycle and player event tracking.

Set up A/B testing hooks for experimental game features by integrating the analytics framework into your game development pipeline. Use the track() function to log player events and measure engagement across different feature variants.

Yes, you can track session lifecycle events including start, heartbeat, and end using the trackSession() function. This session tracking capability measures player engagement and builds retention funnels for game development.