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A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

IEEE Access
Due to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer ...
Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo   +3 more
doaj   +3 more sources

Machine Learning to Develop Credit Card Customer Churn Prediction

Journal of Theoretical and Applied Electronic Commerce Research, 2022
The credit card customer churn rate is the percentage of a bank’s customers that stop using that bank’s services. Hence, developing a prediction model to predict the expected status for the customers will generate an early alert for banks to change the ...
Dana AL-Najjar, Nadia Al-Rousan, Hazem AL-Najjar   +2 more
doaj   +2 more sources

Customer churn prediction in telecom sector using machine learning techniques

Results in Control and Optimization
In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base. Here, getting a new customer base is costlier than holding the current customers where churn is the process of customers switching from one ...
Sharmila K. Wagh, Aishwarya A. Andhale, Kishor S. Wagh, Jayshree R. Pansare, Sarita P. Ambadekar, S.H. Gawande   +5 more
doaj   +2 more sources

Combining predictive accuracy and interpretability: a data-driven approach to telecom churn analysis [PDF]

Scientific Reports
Acquiring consumers is a challenge in the telecom industry since it reduces profits and slows growth. Customer churn prediction remains a pivotal challenge for telecommunications companies seeking to retain subscribers and sustain profitability in highly
Pankaj Hooda, Pooja Mittal, Prashant Kumar Shukla, Piyush Kumar Shukla, Ankur Pandey   +4 more
doaj   +2 more sources

Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models

Algorithms
Customer churn is a significant concern, and the telecommunications industry has the largest annual churn rate of any major industry at over 30%. This study examines the use of ensemble learning models to analyze and forecast customer churn in the ...
Victor Chang, Karl Hall, Qianwen Ariel Xu, Folakemi Ololade Amao, Meghana Ashok Ganatra, Vladlena Benson   +5 more
doaj   +3 more sources

Predicting Customer Churn on OTT Platforms: Customers with Subscription of Multiple Service Providers

Journal of Information and Organizational Sciences, 2022
No industry can thrive without customers and with customers comes the chances of customer churn. Since customer churn have direct-impact on the revenue, all the industries are focusing in understanding the factors influencing churn and are developing ...
Manish Mohan, Anil Jadhav
doaj   +1 more source

Predicting Customer Churn in Retailing

2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
INSiDR
Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung   +3 more
openaire   +2 more sources

A Stacking-Based Data Mining Solution to Customer Churn Prediction [PDF]

, 2022
In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies.
Seyyedamiri, N., Shabankareh, M.A., Nazarian, A., Shabankareh, M.J., Ranjbaran, A.   +4 more
core   +1 more source

Customer churn prediction model: a case of the telecommunication market

ECONOMICS, 2022
The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the ...
Fareniuk Yana, Zatonatska Tetiana, Dluhopolskyi Oleksandr, Kovalenko Oksana   +3 more
doaj   +1 more source

A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

Discrete Dynamics in Nature and Society, 2021
Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage.
Ming Zhao, Qingjun Zeng, Ming Chang, Qian Tong, Jiafu Su   +4 more
doaj   +1 more source