Customer Intelligence: How Data-Driven Customer Success Teams Actually Predict Churn, Prove Value, and Grow Revenue

By Ezekiel Oshin CCSM

Customer Success is no longer a "nice-to-have" function - it is the economic engine of the modern SaaS business.

Yet, despite the proliferation of customer data and the rise of sophisticated success platforms, many Customer Success teams still operate on intuition rather than intelligence. They rely on gut feelings, lagging indicators like Net Promoter Score (NPS), and arbitrary health scores that fail to predict actual churn.

Customer Intelligence bridges the gap between the theory of Customer Success and the reality of how successful teams operate day-to-day. Written by Certified Customer Success Manager (CCSM) Ezekiel Oshin, this practical guide provides a data-driven framework for predicting churn before it happens, proving value with hard numbers, and aligning the CS function with the broader revenue goals of the CFO and CEO.

Inside this book, you will discover:

The "Gut Feel" Problem: Why empathy and relationship-building, while important, are insufficient for scaling retention.Signal vs. Noise: How to separate actionable data from vanity metrics like total logins and average session length.Building a Health Score That Isn't Fiction: The 5 specific signals that actually predict churn, and how to backtest your model against historical data.Early-Warning Systems: How to translate data into playbooks that Customer Success Managers (CSMs) will actually execute.Proving Value with Numbers: How to run a before-and-after ROI analysis and communicate outcomes to financial executives.Segmentation That Changes How You Work: Matching high-touch, low-touch, and tech-touch motions to the right data signals.

Whether you are a CS leader trying to secure budget, a CSM looking to transition from a passive check-in role to a proactive trusted advisor, or an aspiring professional looking to break into the field, Customer Intelligence provides the frameworks, templates, and composite case studies you need to drive revenue retention and growth.

Stop guessing which customers will churn. Start predicting it with data.

• Format: Paperback
• Language: English
• ISBN: B0H9QK2NYN
• ISBN13: 9798188143312
• Release Date: July 2026
• Publisher: Independently Published
• Length: 40 Pages
• Weight: 0.14 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"