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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
openaire   +1 more source

Telecom Customer Churn

2022
Anand Khandare   +5 more
openaire   +1 more source

Predicting Customer Churn in Electronic Banking

2019
The following paper is an outline of the current author’s research on the churn prediction in electronic banking. The research is based on real anonymised data of 4 million clients from one of the biggest Polish banks. Access to real data in such scale is a substantial strength of the study, as many researchers often do use only small data sample from ...
openaire   +2 more sources

Estimating customer churn under competing risks

Journal of the Operational Research Society, 2021
Jeffrey Meyer   +2 more
exaly  

Customer churn prediction for web browsers

Expert Systems with Applications, 2022
Xing Wu 0001   +5 more
openaire   +1 more source

Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests

Industrial Marketing Management, 2022
Ulrich Thonemann   +1 more
exaly  

Customer churn prediction in telecommunication industry using data certainty

Journal of Business Research, 2019
Feras Al Obeidat   +2 more
exaly  

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