Weekly gamer churn drop by 8 points.
Machine learning implementation for Game Balancing to enhance user experience
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Business Quandary
For all multiplayer games, matchmaking is an essential factor in the gameplay adventure and, poor matchmaking can lead to pessimistic gaming experiences resulting in gamer churn. The client wanted Affine to optimize game balance in online multiplayer games using a modern Machine Learning based Matchmaking system to reduce User Drop Rates and control the overall Churn to improve the online gaming experience.
Augmented Outcomes
10 - 12%
Average Game Session Duration
8 PO
Weekly Player Churn
10 - 12%
Revenue
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That transform the gaming experience to the next level with fun adventures for learning and
Captured a substantial growth in the revenue and gross margin.
10% surge in Average Revenue per User.
Weekly gamer churn drop by 8 points.
Approximately 40% increase in overall players’ engagement and gameplay time.
Reduced gamer Fatigue and Increased Player Engagement by 20%.
