2025 Guide to Forecasting Churn
A 7-step guide to forecasting the most important SaaS KPI
Stop reacting to churn. Start predicting it. This step-by-step guide shows you how leading companies cut churn forecasting errors from 5% to less than 1%. Learn the proven frameworks that transform reactive customer success teams into proactive revenue engines, aligning your entire organization around data-driven retention strategies that work.
What You'll Learn
- How to accurately define and measure different types of churn in your business context
- The 5 essential data points that actually predict churn (and why customer satisfaction scores aren't one of them)
- Techniques for correlating historical data with leading indicators to spot churn risks early
- Methods for utilizing real-time data to monitor accounts dynamically
- Strategies for incorporating Account Manager insights to refine churn projections
- Best practices for establishing an effective forecasting review cadence across teams
- Steps to automate workflows with triggers and alerts that catch churn risks before they escalate
- A maturity model for evolving from basic CRM tracking to AI-driven predictive forecasting
