Retail Analytics Using Python: Customer Insights, Churn Models & Geo Analytics

by Lata Publication

In today’s data-driven retail environment, businesses that understand their customers deeply—and act on those insights—gain a serious competitive edge. This book is your hands-on guide to applying customer analytics, churn prediction, customer segmentation, and geospatial trade area modeling using Python.
Retail Analytics Using EP3 is the third installment in a practical series designed for analysts, data scientists, and retail professionals who want to turn raw data into meaningful action. Whether you're working with e-commerce, brick-and-mortar data, or omnichannel operations, this book gives you the tools to build and deploy customer-focused analytics that matter.
What You’ll Analytics FundamentalsChurn Prediction ModelsCustomer SegmentationTrade Area Modeling & Geo AnalyticsReal-World Projects & DatasetsWho This Book Is and practicing data analysts and data scientistsRetail professionals seeking to adopt advanced analytics techniquesStudents in business analytics, data science, or retail management programsAnyone looking to apply Python to solve real retail problems with real dataNo fluff. No theory without practice. Just the tools, techniques, and step-by-step guidance you need to drive data-informed decisions in retail.
Unlock the power of customer data. Start building smarter, more competitive retail strategies today.

41 pages, Kindle Edition

Published December 4, 2025