Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university.

ABSTRACT: In this study, we explore the possible factors affecting churn in the Danish telecommunication industry and how those factors connect with retention strategies. The Danish telecommunication industry is experiencing a saturated market regarding the number of customers, but the number of service providers has increased significantly in recent years. Due to the high costs of acquiring new customers, the telecommunication industry put great emphasis on retaining customers in such an intensely competitive industry. We employ five machine learning algorithms: random forest, AdaBoost, logistic regression, extreme gradient boosting classifier, and decision tree classifier on four datasets from two geographical regions, Denmark and the USA. The first three datasets are from online repositories, and

SUBMITTER: Saleh S 

PROVIDER: S-EPMC10239051 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature