Fighting churn with data / by Carl Gold.

Format:

Video

Author/Creator:

Gold, Carl, author.

Contributor:

Manning Publications, publisher.

Language:

English

Subjects (All):

Customer loyalty.

Customer relations--Management.

Customer relations.

Physical Description:

1 online resource (1 video file (14 hr., 55 min.)) : sound, color.

Edition:

Video Edition.

[First edition].

Place of Publication:

[Shelter Island, New York] : Manning Publications, 2020.

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. 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 forecasting About the Reader For readers with basic data analysis skills, including Python and SQL. About the Author Carl Gold is a Senior Data Science Manager for financial startup Migo.money. He has previously worked as Chief Data Scientist for Zuora, the industry-leading subscription management platform. He has a Ph.D. from the California Institute of Technology. Quotes This book is a rarity. Lucid, compelling, and even funny. Mandatory reading for anyone running a subscription-based business. Buy a copy for your boss. - From the Foreword by Tien Tzuo, Founder and CEO of Zuora, Inc. A must-have weapon. . . . This comprehensive guide provides deep insights on churn analysis with step-by-step examples. - Kelum Prabath Senanayake, Echoworx A great exploration of churn, richly packed with theory and great code samples. - George Thomas, Manhattan Associates Churns out almost everything related to churn. Packed with lucid language, detailed explanations, and scrutiny of a real-life case study. - Prabhuti Prakash, Synechro.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1530935328

Publisher Number:

9781617296529VE