RecurringRevenueDrift: Subscription Churn Predictor
Analyzes subscription billing data to predict which customers will churn in the next 30 days, with automated win-back campaigns.
The Problem
SaaS companies lose 5-10% of their customer base monthly but have no early warning system for at-risk renewals. They manually review churn after it happens, when intervention is too late. Existing retention tools focus on engagement metrics, not actual billing/payment friction signals.
Target Audience
Bootstrap and early-stage SaaS founders (especially B2B SaaS with $50K-$5M ARR) who use Stripe or Paddle and need churn prevention without hiring a data analyst.
Why Now?
AI models are accurate enough now for small datasets, and Stripe's API is mature; vibe coders can build prediction layers without machine learning expertise using services like Replicate or a simple regression model.
What's Missing
Affordable, plug-and-play churn prediction doesn't exist for sub-$1M ARR teams. Most solutions require technical setup, expensive contracts, or manual work.
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