Design a comprehensive churn prediction system that identifies at-risk players before they leave, using behavioral signals, machine learning approaches, and automated intervention triggers.
## CONTEXT Player churn is the silent revenue killer in games-as-a-service — the average free-to-play game loses 75% of its players within the first week, and even successful live-service titles experience 3-5% monthly churn among their established player base. Each churned player represents not only lost direct…
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