Churn prediction for high-value players in casual social games

  title={Churn prediction for high-value players in casual social games},
  author={Julian Runge and Peng Gao and Florent Garcin and Boi Faltings},
  journal={2014 IEEE Conference on Computational Intelligence and Games},
Predicting when players will leave a game creates a unique opportunity to increase players' lifetime and revenue contribution. Players can be incentivized to stay, strategically cross-linked to other games in the company's portfolio or, as a last resort, be passed on to other companies through in-game advertisement. This paper focuses on predicting churn for highvalue players of casual social games and attempts to assess the business impact that can be derived from a predictive churn model. We… CONTINUE READING
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