Reading Your Stripe Dashboard With AI

Stripe tells you everything — gross volume, churn, failed charges, dispute rates — and most teen 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.