Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 6th International Conference on Economic Management and Green Development (ICEMGD 2022), Part Ⅱ
Series Vol. 4 , 21 March 2023
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Access | Article
Customer Churn Prediction in the Telecommunication Industry
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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
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 6th International Conference on Economic Management and Green Development (ICEMGD 2022), Part Ⅱ
- ISBN (Print)
- 978-1-915371-17-1
- ISBN (Online)
- 978-1-915371-18-8
- Published Date
- 21 March 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/4/20221017
- Copyright
- 21 March 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited