Know Who's Leaving Before They Do.
Watch how our predictive engine analyzes user behavior patterns in real-time to flag high-risk customers, enabling instant automated retention workflows to keep your MRR stable.
The Retention Radar
Watch the AI scan your customer base, flag a high-risk user, analyze their behavior, and automatically trigger a retention offer — saving their lifetime value.
Sarah M.
User #201
Tom R.
User #318
Alex K.
User #482
Emma L.
User #519
James W.
User #637
Select a scan to view risk profile
Behavioral Feature Mapping
See how login frequency, feature usage, support tickets, and payment history all feed into a single predictive core that outputs per-user risk scores.
Predictive Core
50+ signals
Risk Score
Per-user output
Our models process 50+ behavioral signals to detect the subtle signs of customer dissatisfaction weeks before they hit “Cancel”.
Hard Numbers
Results from deploying predictive churn analytics for a B2B SaaS platform with 8,000+ monthly subscribers.
-0%
Reduction in Monthly Churn Rate
Proactive intervention on flagged accounts prevents cancellations before they happen
0%
Prediction Accuracy
Our model correctly identifies at-risk customers 92% of the time, minimizing false positives
+$12k
Monthly Recurring Revenue Saved
Automated retention workflows recover revenue that would otherwise be lost to churn
Losing Customers You Could Have Saved?
We build predictive analytics dashboards that catch at-risk customers early and trigger automated retention workflows — keeping your MRR growing.
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