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Predicting Customer Churn at QWE Inc.
Darden Business Publishing Cases, 2017This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition
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Customer churn prediction for retention analysis
Abstract This abstract provides a comprehensive overview of the research on Customer Churn Prediction for Retention Analysis. In today's corporate context, understanding and mitigating customer churn has become critical for long-term success.Rajesh Saturi +3 more
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Case based models of the relationship between consumer resistance to innovation and customer churn
Journal of Retailing and Consumer Services, 2021Yang Sun
exaly
RFM segmentation and customer churn
2019Since the increased importance is placed on consumer's purchasing behavior, more and more firms are focusing on customer segmentation to get insights about their clients. RFM segmentation is becoming, increasingly, popular in businesses as a marketing tool, which is used to group clients based on three fundamental features; the time elapsed from the ...
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Leveraging unstructured call log data for customer churn prediction
Knowledge-Based Systems, 2021Shaowu Liu, Xitong Li, Guangdong Xu
exaly
Predictive Modeling for Customer Churn
Customer churn is a major concern for the banking industry, where retaining existing customers is often more profitable than acquiring new ones. With increasing competition from digital banks and fintech startups, it has become vital for traditional banks to proactively identify customers who are likely to leave.Dr. AS Arunachalam, B Sathya Moorthy
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Why you should stop predicting customer churn and start using uplift models
Information Sciences, 2021Floris Devriendt, Wouter Verbeke
exaly