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arXiv · 1607.03202

Rapid Prediction of Player Retention in Free-to-Play Mobile Games

Anders Drachen·Eric Thurston Lundquist·Yungjen Kung·Pranav Simha Rao·Diego Klabjan·Rafet Sifa·Julian Runge
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Abstract

Predicting and improving player retention is crucial to the success of mobile Free-to-Play games. This paper explores the problem of rapid retention prediction in this context. Heuristic modeling approaches are introduced as a way of building simple rules for predicting short-term retention. Compared to common classification algorithms, our heuristic-based approach achieves reasonable and comparable performance using information from the first session, day, and week of player activity.

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Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Diego Klabjan, Rafet Sifa, Julian Runge. 2016-07-12. Rapid Prediction of Player Retention in Free-to-Play Mobile Games. https://arxiv.org/abs/1607.03202

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