Fighting Churn with Data: The science and strategy of customer retention

Fighting Churn with Data
By 作者:Carl Gold
Release Finelybook 出版日期:2020
Publisher Finelybook 出版社:Manning Publications
pages 页数: Paperback
ISBN-13 书号:9781617296529
ISBN-10 书号:161729652X
The Book Description robot was collected from Amazon and arranged by Finelybook
The beating heart of any product or service business is returning clients. Don’t let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you’ll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to non-technical decision makers.
Keeping customers active and engaged is essential for any business that relies on recurring revenue and repeat sales. Customer turnover—or “churn”—is costly, frustrating, and preventable. By applying the techniques in this book, you can identify the warning signs of churn and learn to catch customers before they leave.
Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Packed with real-world use cases and examples, this book teaches you to convert raw data into measurable behavior metrics, calculate customer lifetime value, and improve churn forecasting with demographic data. By following Zuora Chief Data Scientist Carl Gold’s methods, you’ll reap the benefits of high customer retention.
What’s inside

Calculating churn metrics
Identifying user behavior that predicts churn
Using churn reduction tactics with customer segmentation
Applying churn analysis techniques to other business areas
Using AI for accurate churn forecasting