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Customer Churn Prediction in the Telecommunication Industry
- 1 Management College, University of Sheffield, Sheffield, S10 2TN, UK
* Author to whom correspondence should be addressed.
Abstract
Customer churn is essential for telecom fields because it reduces income when a customer switches from one service provider to another. It is important for managers to help them find the factors influencing customer churn so that they can make decisions and optimize services. In this essay, SPSS will be used to analyze the factors that influence customer churn. We use contrastive analysis to find out the factors of the customer churn and use logistic regression to analyze the degree of influence of different factors. The result indicates phone charge, quality and diversity of services have impacts on customer churn.
Keywords
Customer churn, Binary logistic., Contrastive analysis, telecommunication
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Cite this article
Wu,S. (2023). Customer Churn Prediction in the Telecommunication Industry. Advances in Economics, Management and Political Sciences,4,41-50.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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