## The Challenge
LaunchPad Studio had aggressive growth targets but a 3-person team serving 180 customers. Monthly churn of 8% was eating their new acquisition gains. They'd tested generic winback email sequences with no improvement.
"We needed to reach the right customers with the right message at the right time. We had no idea who or when."
## The Implementation
LaunchPad connected ChurnGuard to their Stripe and Intercom data. The system automatically scored accounts based on billing behavior, support ticket frequency, feature adoption velocity, and email engagement.
Their team selected the highest-risk cohort each week—typically 8-12 accounts—and used ChurnGuard's AI-generated personalized outreach suggestions to reach out. They weren't sending mass emails; they were having individual conversations informed by actual usage data.
## The Outcome
After 60 days: churn dropped from 8% to 4.2% monthly. They retained an additional 30 accounts who would have churned without intervention, representing $18,000 in saved ARR.
CS overhead increased only marginally despite serving more customers—they were working smarter, not harder.
"The templates weren't robotic. They felt personal. Our customers told us they were surprised we noticed their usage dropping. That specificity built trust."
## Key Takeaways
- Generative personalized outreach outperforms generic sequences at scale - Data-driven scoring enables reliable, repeatable retention workflows - Eliminating churn is more capital-efficient than replacing it with new ARR