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Fighting Churn with Data
Fighting Churn with Data
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Fighting Churn with Data

The science and strategy of customer retention
Carl Gold
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504 pages
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English
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📖 Book - PDF

Fighting Churn with Data

The science and strategy of customer retention
Carl Gold
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About This Book

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. Summary
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.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology
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. About the book
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 forecastingAbout the reader
For readers with basic data analysis skills, including Python and SQL. About the author
Carl Gold (PhD) is the Chief Data Scientist at Zuora, Inc., the industry-leading 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

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Information

Publisher
Manning Publications
Year
2020
ISBN
9781638350187
Topic
Computer Science
Subtopic
Data Mining

Table of contents