Abstract
In the Telecommunication Industry, customers have the option of selecting from numerous telecom companies, and can easily move from one service provider to another. In this extremely competitive market, telecom companies experience an average of 10–20% annual churn rate which is considerably high. It costs noticeably more to acquire a new customer than to hold a current customer. Thus, retaining high profitable customers is a crucial business aim. Because of the direct impact on the revenues of the companies, they are looking for a means to predict customers who are expected to leave. In this research, we have examined data of customers of a telecom company, made predictive models to recognize customers at high risk of churn, and identify the prime reasons for customer churn. Churn prediction will understand the actions and behavior of customers which will predict the customers who are likely to churn and the causes for churn.
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Bhargava, M., Singh, S., Sharma, J., Franklin Vinod, D. (2022). Telecom Customer Churn Prediction. In: Vasudevan, H., Gajic, Z., Deshmukh, A.A. (eds) Proceedings of International Conference on Wireless Communication. Lecture Notes on Data Engineering and Communications Technologies, vol 92. Springer, Singapore. https://doi.org/10.1007/978-981-16-6601-8_30
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DOI: https://doi.org/10.1007/978-981-16-6601-8_30
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