Early churn prediction with personalized targeting in mobile social games

作者：

Highlights：

• A model for predicting churn one day after registration in games is proposed.

• The model is generalized and applicable to various types of free-to-play games.

• Two approaches for retaining churned users via push notifications are presented.

• The proposed system is deployed and used in the production of a large-scale game.

摘要

•A model for predicting churn one day after registration in games is proposed.•The model is generalized and applicable to various types of free-to-play games.•Two approaches for retaining churned users via push notifications are presented.•The proposed system is deployed and used in the production of a large-scale game.

论文关键词：Churn prediction,Free to play,Churn prevention,Machine learning,Push notifications,Targeting

论文评审过程：Received 17 May 2016, Revised 26 April 2017, Accepted 28 April 2017, Available online 29 April 2017, Version of Record 6 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.056