CustomerChurnPredictor: Cohort Risk Dashboard
Predicts which customer cohorts will churn next month by analyzing behavioral patterns, then surfaces actionable retention strategies automatically.
The Problem
SaaS companies spend thousands on churn prediction tools that output generic risk scores, but they don't tell you *why* a cohort is at risk or *what to do about it*. Teams waste time manually cross-referencing usage data with customer attributes to find patterns.
Target Audience
Founders and growth leads at B2B SaaS companies with 500-50k MRR who manually review Mixpanel/Amplitude data but lack the budget for enterprise churn platforms like Gainsight.
Why Now?
Modern SaaS founders now have access to their own data via APIs (Stripe, customer DBs) and AI coding tools make building predictive UIs fast; churn is the #1 metric founders obsess over post-PMF.
What's Missing
Existing tools treat churn prediction as a black box. There's no lightweight, self-service tool that explains *which cohorts* (by signup month, plan type, feature usage) are at risk and suggests *specific retention experiments* (pricing, onboarding, feature rollouts).
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