Computer assisted customer churn management: State-of-the-art and future trends

被引:131
|
作者
Hadden, John [1 ]
Tiwari, Ashutosh
Roy, Rajkumar
Ruta, Dymitr
机构
[1] Cranfield Univ, Cranfield MK43 0AL, Beds, England
[2] British Telecommun PLC, Ipswich IP5 3RE, Suffolk, England
关键词
customer churn management; soft computing; churn prediction;
D O I
10.1016/j.cor.2005.11.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A business incurs much higher charges when attempting to win new customers than to retain existing ones. As a result, much research has been invested into new ways of identifying those customers who have a high risk of churning. However, customer retention efforts have also been costing organisations large amounts of resource. In response to these issues, the next generation of chum management should focus on accuracy. A variety of churn management techniques have been developed as a response to the above requirements. The focus of this paper is to review some of the most popular technologies that have been identified in the literature for the development of a customer churn management platform. The advantages and disadvantages of the identified technologies are discussed, and a discussion on the future research directions is offered. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2902 / 2917
页数:16
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