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Customer Churn Prediction in ECommerce Sector by mimise6572 is a document available to read on EtoBox.

What is Customer Churn Prediction in ECommerce Sector about?

The thesis by Abdulrahman Alshamsi focuses on predicting customer churn in the e-commerce sector, emphasizing the importance of retaining existing customers over acquiring new ones. It proposes a model utilizing customer segmentation and machine learning algorithms, specifically Decision Tree, Logistic Regression, and Random Forest, to identify factors leading to churn and develop targeted retention strategies. The research aims to provide actionable insights for e-commerce companies to enhance customer loy

Author

mimise6572

Language

EN