Predicting Customer Churn in E-commerce Using Machine Learning  Classifiers

Mahesh Reddy Challa

Predicting Customer Churn in E-commerce Using Machine Learning Classifiers

Authors

Mahesh Reddy Challa

Keywords:

Customer Churn, E-commerce, Machine Learning, Predictive Analytics, Customer Retention, Classification Algorithms, XGBoost, Customer Relationship Management, Churn Prediction, Digital Marketing

Abstract

Customer churn prediction has become a critical strategic capability for e-commerceenterprises seeking to maintain competitive advantage in increasingly saturated digital markets. This research paper presents a comprehensive investigation into the application

References

: Mayank Atreya, Navin Chhibber, Harvendra Singh, Explainable Machine Learning For Dynamic Pricing In Fast-Changing Retail Environments, 2022/4/9, Journal ,Available at SSRN 6011354, https://scholar.google.com/citations?view_op=view_citation&hl=en&user=fyViF1UAAAAJ&citation_for_view=fyViF1UAAAAJ:LkGwnXOMwfcC.

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Published

2024-11-20

How to Cite

Mahesh Reddy Challa. (2024). Predicting Customer Churn in E-commerce Using Machine Learning Classifiers. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 9107–9128. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5654