有些顾客宁愿不告而别

Some Customers Would Rather Leave Without Saying Goodbye

Marketing Science · 2018
被引 62
FT 50UTD 24ABS 4★

中文导读

研究了混合型客户关系中同时存在显性和隐性流失的情况,提出基于隐马尔可夫模型的框架来识别两种流失类型,发现高活跃度反而预示显性流失风险,且两种流失者对营销反应不同。

Abstract

We investigate the increasingly common business setting in which companies face the possibility of both observed and unobserved customer attrition (i.e., “overt” and “silent” churn) in the same pool of customers. This is the case for many online-based services where customers have the choice to stop interacting with the firm either by formally terminating the relationship (e.g., canceling their account) or by simply ignoring all communications coming from the firm. The standard contractual versus noncontractual categorization of customer–firm relationships does not apply in such hybrid settings, which means the standard models for analyzing customer attrition do not apply. We propose a hidden Markov model (HMM)-based framework to capture silent and overt churn. We apply our modeling framework to two different contexts—a daily deal website and a performing arts organization. In contrast to previous studies that have not separated the two types of churn, we find that overt churners in these hybrid settings tend to interact more, rather than less, with the firm prior to churning; that is, in settings where both types of churn are present, a high level of activity—such as customers actively opening emails received from the firm—is not necessarily a good indicator of future engagement; rather it is associated with higher risk of overt churn. We also identify a large number of “silent churners” in both empirical applications—customers who disengage with the company very early on, rarely exhibit any type of activity, and almost never churn overtly. Furthermore, we show how the two types of churners respond very differently to the firm’s communications, implying that a common retention strategy for proactive churn management is not appropriate in these hybrid settings. Data and the online appendix are available at https://doi.org/10.1287/mksc.2017.1057 .

客户流失客户关系管理隐马尔可夫模型在线服务