A Survey on Churn Analysis in Various Business Domains

62Citations
Citations of this article
215Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management. However, since it has been used intensively to increase the predictability of various industry/academic fields, there is a big difference in its definition and utilization. In this paper, we collected the definitions of churn used in the fields of business administration, marketing, IT, telecommunications, newspapers, insurance and psychology, and described their differences. Based on this, we classified and explained churn loss, feature engineering, and prediction models. Our study can be used to select the definition of churn and its associated models suitable for the service field that researchers are most interested in by integrating fragmented churn studies in industry/academic fields.

Cite

CITATION STYLE

APA

Ahn, J., Hwang, J., Kim, D., Choi, H., & Kang, S. (2020). A Survey on Churn Analysis in Various Business Domains. IEEE Access, 8, 220816–220839. https://doi.org/10.1109/ACCESS.2020.3042657

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free