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

The beating heart of any product or service business is returning clients. Don't let your hardwon customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful datadriven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether.SummaryThe beating heart of any product or service business is returning clients. Don't let your hardwon customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful datadriven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. This handson guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to nontechnical decision makers.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the technologyKeeping customers active and engaged is essential for any business that relies on recurring revenue and repeat sales. Customer turnoveror churnis 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.About the bookFighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Packed with realworld 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 Golds methods, youll reap the benefits of high customer retention.What's insideCalculating churn metricsIdentifying user behavior that predicts churnUsing churn reduction tactics with customer segmentationApplying churn analysis techniques to other business areasUsing AI for accurate churn forecastingAbout the readerFor readers with basic data analysis skills, including Python and SQL.About the authorCarl Gold (PhD) is the Chief Data Scientist at Zuora, Inc., the industryleading subscription management platform.Table of Contents:PART 1 BUILDING YOUR ARSENAL1 The world of churn2 Measuring churn3 Measuring customers4 Observing renewal and churnPART 2 WAGING THE WAR5 Understanding churn and behavior with metrics6 Relationships between customer behaviors7 Segmenting customers with advanced metricsPART 3 SPECIAL WEAPONS AND TACTICS8 Forecasting churn9 Forecast accuracy and machine learning10 Churn demographics and firmographics11 Leading the fight against churn