  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.
