eBook

Fighting Churn with Data

Exclusive free preview available today. Publication in Summer 2020.

Fighting Churn with Data is your guide to keeping your customers for the long haul. Chief Data Scientist at Zuora, Carl Gold, provides a clear overview of churn concepts, along with hands on tricks and tips he has developed through years of experience analyzing subscriber behavior. Packed with project-based examples, this book teaches you to convert raw data into measurable customer metrics, develop and test hypotheses about churn rates, and present your findings clearly to non-technical decision makers in marketing and sales.

As an exclusive offer for Zuora.com readers, receive the first chapter (42 pages), The World of Subscriptions and Churn, for free by filling out the form.

What readers are saying:

“This book is a priceless source of hands-on gained insights in analyzing and dealing with churn-related problems. The case studies are pure gold.”

Milorad Imbra, Software Architect

“This book is great and it is probably the most comprehensive material around on fighting churn.”

Alex Saez, Data Scientist, The New York Times

“I really loved the way the book is organized. It has taken a single problem area and has gone through it step by step explaining how data science can help us minimize churn.”

Tiklu Ganguly, CTO, Mazik Tech Solutions

What you’ll learn in Chapter 1: The World of Subscriptions and Churn

Why churn is hard to fight
What products have recurring user interactions
What scenarios exist for nonsubscription churn
What customer behavior data is important
Who has fought churn with data and won
Which metrics matter in the fight against churn

About the author, Carl Gold:

Carl Gold is Zuora’s Chief Data Scientist at Zuora. Before coming to Zuora, he spent most of his career as a quantitative analyst on Wall Street. As the Vice President, Risk Modeling at MSCI, Inc. (formerly Morgan Stanley Capital International & MSCI Barra) and a Machine Learning Consultant to a $1 billion investment partnership, Gold applied statistical and scientific concepts to financial data. Among many accomplishments, he researched statistical models for fixed income asset and issuer risk, and created novel machine-learning algorithms to forecast stock and ETF returns. He has a PhD from the California Institute of Technology and has first author publications in leading Machine Learning and Neuroscience journals. A data scientist, he now uses a variety of modern tools and techniques to analyze data produced by online systems. Carl is the author of “Fighting Churn With Data: Understand and Combat Subscriber Churn with Data Science” to be published in 2019.

Thank you

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