Investigating player churn through an AI-analyzed Phaser.js platformer
This project investigates how game mechanics influence player churn behavior. The integrated Phaser game collects anonymous telemetry data, which is later analyzed using AI.
Jump into the platformer. Your session is tracked anonymously while you play.
Telemetry data is analyzed to identify churn patterns and triggers.
Transparent research — anonymized data
Session Duration
How long each play session lasts
Level Progress
Which levels are completed or abandoned
Player Actions
Jumps, deaths, and interaction patterns
Churn Events
When and where players stop playing
Fully Anonymous
Random session IDs, no personal identifiers
Research Only
Data used exclusively for scientific analysis
No Tracking
No cookies, no cross-site tracking, no ads
GDPR Compliant
Designed with data protection in mind
No personal data is collected. Each session is anonymized via a randomly generated session ID. The collected telemetry data is used exclusively for scientific analysis.
Built with modern tools for research
HTML5 game framework powering the platformer experience
Backend server for telemetry collection and data processing
AI/ML pipeline for churn prediction and pattern analysis