How a 200-user SaaS recovered $1,200/month with Customer Intelligence

The team noticed MRR dipping but couldn't pinpoint why. Stripe showed failed payments and cancellations, but there was no single view of who was at risk before they churned. By the time they saw a failure, the customer was often already gone or had switched to a competitor. They needed to see segments—Failed, Past Due, Expiring Soon—in one place and act before losing the revenue.

They connected Stripe to KODAI and used Customer Intelligence. The customer table gave them a clear list of Failed and Expiring Soon accounts. They focused on those two segments: for Failed, they reached out with a payment link and a short email; for Expiring Soon, they sent a friendly reminder and made it easy to update the card. No complex workflows—just segment, filter, and act.

Within a month they had recovered about $1,200 in MRR from customers who would otherwise have churned or stayed failed. Most recoveries came from the Failed segment (retry + outreach) and from Expiring Soon (card updates). The team now checks Customer Intelligence weekly and treats the segments as a simple action list.

Customer Intelligence gave them one view of at-risk customers. By focusing on Failed and Expiring Soon and doing light-touch outreach, they recovered $1,200 MRR in a month. Same approach works for any Stripe-backed SaaS that wants to cut preventable churn.