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