Case Studies & Outcomes

How teams use the product to protect revenue before churn shows up in the books.

What customers are seeing

These anonymized rollout snapshots show the kinds of saves teams can create when risk signals, payment data, and intervention workflows are in one place.

Across early production accounts, the product is most valuable when teams act in the first 7 to 14 days after a risk spike, especially on failed-payment and disengagement cohorts.

Time to first useful signal

< 24 hours

Typical intervention window

7-14 days

Most common quick win

Failed-payment recovery

Micro SaaS

$8k MRR subscription product

Renewals were slipping through failed cards and silent disengagement.

The founder recovered three accounts in the first week and turned the daily digest into a standing retention workflow.

$780 MRR recovered

Growth Startup

$45k MRR B2B tool

The team knew churn was rising but did not know which accounts needed outreach first.

Revenue-weighted risk scoring surfaced five accounts early enough for targeted outreach, and four renewed.

4 of 5 at-risk accounts saved

API Platform

$120k MRR developer product

Discount-expiring customers were churning before account owners noticed the pattern.

The team used intervention tracking and playbook segmentation to improve save performance on renewal-risk cohorts.

35% higher save rate

DevTools Company

$22k MRR usage-based SaaS

Inactive customers were quietly drifting toward cancellation with no consistent re-engagement process.

Risk explanations and churn reasons made it straightforward to run a re-engagement campaign that brought customers back before cancellation.

$1.6k MRR retained