Predicting Customer Churn in e-Commerce using Machine Learning

Shahzad, Ahsan (2025) Predicting Customer Churn in e-Commerce using Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research aims to develop an advanced machine learning-based churn prediction model for e-commerce businesses by leveraging historical customer data, optimizing feature selection, and evaluating the effectiveness of multiple machine learning algorithms to improve customer retention strategies.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Jameel Syed, Muslim UNSPECIFIED
Subjects:	H Social Sciences > HF Commerce > Marketing > Consumer Behaviour H Social Sciences > HF Commerce > Electronic Commerce Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	26 Aug 2026 11:50
Last Modified:	26 Aug 2026 12:00
URI:	https://norma.ncirl.ie/id/eprint/9667

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