Predict Churn Before It Happens.
Watch how our ML model analyzes usage patterns, engagement signals, and billing history to flag at-risk customers before they leave.
The Churn Risk Dashboard
See the model score customers in real time, surface at-risk accounts, and recommend targeted retention actions — all without a data scientist.
Sarah M.
User #201
Tom R.
User #318
Alex K.
User #482
Emma L.
User #519
James W.
User #637
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Feature Engineering Pipeline
How we transform raw product usage, support tickets, and payment history into predictive signals that anticipate churn 30+ days in advance.
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 churn prediction for a B2B SaaS company with 2,000+ monthly subscribers.
-0%
Churn Reduction
Proactive outreach and personalized offers saved at-risk accounts before cancellation
0%
Accuracy of At-Risk Detection
Model correctly identifies 4 out of 5 customers who would have churned
+$12k
Retention Revenue Recovered
Early intervention captured revenue that would have been lost to cancellations
Losing Customers Without Knowing Why?
We build churn prediction systems that identify at-risk accounts, recommend retention actions, and recover revenue before it walks out the door.
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