RecurringRevenueDrift: SaaS MRR Churn Predictor
Predicts which subscription customers will churn next month by analyzing usage decay patterns, giving SaaS founders 30 days to save them.
The Problem
SaaS founders see churn in their Stripe dashboard *after* customers leave, but have no early warning system. Usage typically drops 2-3 weeks before cancellation, but this signal is buried in raw analytics data that founders don't actively monitor. By the time churn happens, it's too late to intervene.
Target Audience
Solo founders and small SaaS teams (5-50 employees) with $10k-$500k MRR running on Stripe + a product analytics tool (Mixpanel, Amplitude, Posthog, or custom events).
Why Now?
AI makes it trivial to analyze usage patterns at scale; SaaS churn awareness is at peak concern post-2024 fundraising squeeze; most founders manually track this in spreadsheets.
What's Missing
Existing churn tools are enterprise-priced ($2k+/mo) or generic analytics dashboards. There's no $99/mo tool purpose-built for the 'save my customer before they leave' use case with clear, actionable predictions.
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