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Customer Churn Prediction in B2B Contexts
, 2019 While business-to-customer (B2C) companies, in the telecom sector for instance, have been making use of customer churn prediction for many years, churn prediction in the business-to-business (B2B) domain receives much less attention in existing literature.
Iris Figalist +3 more
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Predicting Customer Churn at QWE Inc.
Darden Business Publishing Cases, 2017 This 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
Anton S. Ovchinnikov
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Some of the next articles are maybe not open access.
Predicting Customer Churn for Insurance Data
2020Most organisations employ customer relationship management systems to provide a strategic advantage over their competitors. One aspect of this is applying a customer lifetime value to each client which effectively forms a fine-grained ranking of every customer in their database. This is used to focus marketing and sales budgets and, in turn, generate a
Michael Scriney +2 more
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Customer-Churn Research Based on Customer Segmentation
2009 International Conference on Electronic Commerce and Business Intelligence, 2009This article explores the unique features of the customer relationship management (CRM) system in Telecom industry and presents a customer-churn model based on customer segmentation. First, the improved Fuzzy C-means clustering algorithm is used to segment customer and conclude high value customer group characteristics.
Xiaobin Zhang, Gao Feng, Huang Hui
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Customer Churn Prediction by Hybrid Model
2006In order to improve the performance of a data mining model, many researchers have employed a hybrid model approach in solving a problem. There are two types of approach to build a hybrid model, i.e., the whole data approach and the segmented data approach.
Jae Sik Lee, Jin Chun Lee
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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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Predicting Probability of Customer Churn in Insurance
2016We focus on a real case of the motor insurance sector. We propose four different methods to predict lapsing from a portfolio of policies. We present a comparative analysis between three different performance measures in order to assess the predictive power of each model. Our comparison analyses the outcomes of a logistic regression, a conditional tree,
Catalina Bolancé +2 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
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Estimating customer churn under competing risks
Journal of the Operational Research Society, 2021Pallav Routh +2 more
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