Unsupervised Machine Learning Models for Focused Target Customer Segmentation

Abstract

This research investigates novel methods for customer segmentation using advanced machine learning models. As digital marketing rapidly expands, accurately identifying target segments is crucial for optimizing campaign reach and enhancing return on investment (ROI). The study utilizes various clustering algorithms to identify the most effective approach. Essential processes include processing and preparing customer data, followed by applying widely-used machine learning algorithms.