Machine learning implementation for Game Balancing to enhance user experience

Weekly gamer churn drop by 8 points.

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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%


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    Manas Agrawal

    CEO & Co-Founder

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