Customer Lifetime Value Models for Decision Support
Data Mining and Knowledge Discovery
Determinants of customer loyalty in the wireless telecommunications industry
Telecommunications Policy
Toward a hybrid data mining model for customer retention
Knowledge-Based Systems
Two-level model of customer retention in the US mobile telecommunications service market
Telecommunications Policy
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Customer churn prediction using improved balanced random forests
Expert Systems with Applications: An International Journal
Customer churn prediction by hybrid neural networks
Expert Systems with Applications: An International Journal
Variable selection by association rules for customer churn prediction of multimedia on demand
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An Empirical Analysis of Mobile Voice Service and SMS: A Structural Model
Management Science
Expert Systems with Applications: An International Journal
Information Systems Research
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions
Telecommunications Policy
A novel customer scoring model to encourage the use of mobile value added services
Expert Systems with Applications: An International Journal
Modeling Customer Lifetimes with Multiple Causes of Churn
Marketing Science
Predicting customer churn through interpersonal influence
Knowledge-Based Systems
Adding clicks to bricks: A study of the consequences on customer loyalty in a service context
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications
A novel evolutionary data mining algorithm with applications to churn prediction
IEEE Transactions on Evolutionary Computation
Do customization programs of e-commerce companies lead to better relationship with consumers?
Electronic Commerce Research and Applications
IEEE Transactions on Neural Networks
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Using an extensive sample of 414,733 customers of three different calling plans of a mobile operator in China, we investigate the effectiveness of the company's retention strategies by examining the effect of such strategies on extending the customer lifecycle. We find that the incremental average revenue per user (ARPU) in the retention period and the retention bonuses are positively correlated. The retention policies are also positively correlated with the increments of consumption variables (the number of calls, the number of short messages, and the value-added services). Moreover, the significant and positive interactions between the retention bonus and the consumption increments in one of the calling plans suggest, to a certain degree, that the consumption variables moderate the relationships between the bonuses and the relative ARPU. Finally, the retention strategies demonstrate different levels of effectiveness for three different calling plans. Based on the findings, we draw implications for the development of Chinese e-commerce.