The gamma CUSUM chart method for online customer churn prediction

作者：

Highlights：

• An individual customer churn predicting mechanism is proposed.

• This mechanism is based on gamma CUSUM chart and hierarchical Bayesian model.

• Inter-arrival time and recency are integrated to improve TPR and reduce ATS.

摘要

•An individual customer churn predicting mechanism is proposed.•This mechanism is based on gamma CUSUM chart and hierarchical Bayesian model.•Inter-arrival time and recency are integrated to improve TPR and reduce ATS.

论文关键词：Customer churn,Gamma CUSUM chart,Hierarchical Bayesian mixture model,Online customers,Inter-arrival time,Recency

论文评审过程：Received 24 August 2015, Revised 3 April 2016, Accepted 3 April 2016, Available online 4 April 2016, Version of Record 7 April 2016.

论文官网地址：https://doi.org/10.1016/j.elerap.2016.04.003