Leveraging Machine Learning And Deep Learning Models for Proactive Churn Customer Retention
Hira Farman,
Samar Raza Talpur,
Usman Amjad
et al.
Abstract:Customer attrition is especially an issue in industries such as retail, banking, and telecommunications where customer acquisition costs are significantly higher than the costs of retaining repeat customers. The customer lack of interest is now predictable through machine learning models, and deep learning has become instrumental in early intervention for retention. In order to assess the quality of churn prediction, the study tests six basic machine learning techniques: random forest, logistic regression, and… Show more
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