We just shipped a Churn Analyzer for SaaS founders.

Most analytics tools tell you what already happened. We wanted to answer: who's about to leave, and what can you do about it?

Here's what we built inside DecidexAI:

- Risk Scoring
Every customer gets scored as high, medium, or low risk — automatically. No manual tagging. The signals come straight from your Stripe data: failed payments, downgrades, disputes, early-life conversions, refund patterns.

- Churn Forecasting
A weighted moving average model projects your churn rate 30/60/90 days out with confidence bands. You see where you're headed before you get there.

- MRR at Risk
Not just "5 customers might churn" — we show you exactly how much monthly revenue is on the line. That number changes how urgently you act.

- AI-Powered Recommendations
Template-based actions with real numbers from your data (e.g., "23 customers have failed payments in the last 14 days — implement smart retry on paydays").
Plus LLM-generated personalized recommendations using your business context.

- Churn Chat
Ask questions like "which customers are most likely to churn this month?" or "how does our churn compare to SaaS benchmarks?" and get answers grounded in your actual data.

The whole thing runs on your connected Stripe data. No CSV uploads. No manual setup. Connect once, insights forever.

Building this taught me: churn isn't one problem. It's involuntary (payment failures you can fix with dunning), voluntary (product gaps you can fix with feedback loops), and structural (pricing misalignment you can fix with packaging). Treating them as one number is why most founders feel stuck.

If you're a SaaS founder losing sleep over churn, this is what we built for you.

Drop a comment or DM me if you want to try it — link in the comments.

#buildinpublic #saas #churn