Predicting Customer Lifetime Value in E-commerce
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Predicting Customer Lifetime Value in E-commerce

by Kumari Kajal Panchal

Business E-commerce data analysis
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In 'Predicting Customer Lifetime Value in E-commerce,' Kumari Kajal Panchal delves into strategies for forecasting CLV to drive business success. The book covers essential techniques for analyzing customer data, improving retention, and boosting profitability in online marketplaces. Ideal for e-commerce practitioners aiming to make data-driven decisions.

About This Book

This book explores the concept of customer lifetime value (CLV) within the e-commerce sector, providing a foundational understanding of its importance for business growth.

Readers will learn about the key factors influencing CLV predictions, including customer behavior patterns and purchasing history.

The content focuses on practical applications of CLV models to inform marketing strategies and resource allocation in online retail environments.

Authored by Kumari Kajal Panchal, it serves as a valuable resource for e-commerce professionals seeking to optimize long-term customer relationships.

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I will be using this book for: