Reading Your Stripe Dashboard With AI

Stripe tells you everything — gross volume, churn, failed charges, dispute rates — and most founders stare at the home screen and call it a day. That's leaving money on the floor.

• Export a Stripe Sigma query (or CSV) covering the last 90 days
• Feed it to Claude with your product's pricing tiers as context
• Ask for: MRR movement, top 5 at-risk accounts, failed-charge patterns
• Flag dispute rate — over 0.75% and Stripe starts paying attention
• Pipe the weekly summary into Slack every Monday 8am

The real win is catching failed charges early. A 4% involuntary churn rate is normal; a 12% one means your dunning emails are broken and you're bleeding cash silently.

-- Stripe Sigma: at-risk customers (last 30d) SELECT c.email, c.id AS customer_id, COUNT(ch.id) AS failed_charges, SUM(ch.amount)/100.0 AS failed_usd, MAX(ch.created) AS last_failure FROM charges ch JOIN customers c ON c.id = ch.customer WHERE ch.status = 'failed' AND ch.created >= CURRENT_DATE - INTERVAL '30 days' GROUP BY c.email, c.id HAVING COUNT(ch.id) >= 2 ORDER BY failed_usd DESC LIMIT 20;

Good is when you know your MRR, net churn, and top 3 at-risk accounts by heart every Monday — and your recovered-charge revenue pays for your AI bill.