Customer Churn Prediction Based on BG / NBD Model

被引:0
|
作者
Li, Huan [1 ]
Guan, Zhongliang [1 ]
Cui, Ying [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100000, Peoples R China
关键词
E-commerce; BG/NBD model; customer churn; predicting; strategies of restoring;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
With the rapid development of information technology, most enterprises have built e-commerce platform, which promotes the revolution of operation mode. The focus of competition gradually becomes the customers rather than the products under the increasingly fierce market competition of the E-commerce model. Because of the non-contractual relationship between the customers and the e-commerce platform, maintaining the stable customer relationship becomes the necessary condition for the e-commerce enterprises to get profit. So predicting the customer churn accurately plays an important role in the development of e-commerce enterprises. In this paper, the BG / NBD model is used to analyze the historical transaction records of an e-commerce platform in order to analyze and predict the purchase behavior of the existing customers, and identify the pre-losing customers, which helps the enterprises to implement the more effective strategies of CRM and restore the pre-loss customers timely.
引用
收藏
页码:386 / 393
页数:8
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