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Some Customers Would Rather Leave Without Saying Goodbye

机译:一些客户宁愿不说再见就离开

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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.
机译:我们调查了越来越普遍的业务环境,在这种环境中,公司在同一个客户群中面临观察到的和未观察到的客户流失(即“公开”和“沉默”流失)的可能性。在许多基于在线的服务中就是这种情况,客户可以选择通过正式终止关系(例如取消其帐户)或通过简单地忽略来自公司的所有通信来停止与公司的互动。客户-公司关系的标准合同与非合同分类不适用于此类混合环境,这意味着用于分析客户流失的标准模型不适用。我们提出了一个基于隐马尔可夫模型(HMM)的框架来捕获无声和明显的客户流失。我们将建模框架应用于两个不同的环境-一个日常交易网站和一个表演艺术组织。与以前没有将两种类型的客户流失分离的研究相比,我们发现在这些混合环境中,明显的客户流失在搅动之前与公司的互动更多而不是更少。也就是说,在同时存在两种类型的客户流失的环境中,高水平的活动(例如客户积极打开从公司收到的电子邮件)并不一定是未来参与的良好指标;相反,它与更高的明显搅动风险相关。我们还在两种经验应用中都发现了大量“沉默的搅动者”,即那些很早就与公司脱离联系,很少表现出任何类型的活动并且几乎从不公开搅动的客户。此外,我们展示了两种类型的搅拌机对公司沟通的反应有很大不同,这表明在这些混合环境中,主动搅拌管理的通用保留策略不适合。

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