Likely to Churn
Flags users at risk of dropping off — before it shows up in your dashboards.
Why This Trait Matters
Silent churn is the silent killer of SaaS growth. Users don't always cancel their subscriptions — they just stop using your product. By the time you see the drop in your dashboards, it's often too late. This trait catches the early warning signs, giving you precious time to intervene and turn at-risk users into loyal customers.
How Churn Risk Detection Works
Fewer Logins
User activity drops
Shorter Sessions
Engagement declines
Dropping Features
Usage patterns change
Flagged as At Risk
AI detects pattern
Trigger Action
Proactive intervention
Role-Based Benefits
Product Teams
Spot features driving drop-offs and identify friction points in your user journey before they become retention killers.
Growth Teams
Automate win-back campaigns and retention strategies with real-time triggers based on churn risk signals.
CS Teams
Prioritize at-risk accounts and reach out proactively with personalized support before users decide to leave.
Real-World Examples
Send Slack Alert
Trigger a Slack alert to the CS team when a user is flagged as likely_to_churn, so they can step in before it's too late.
Trigger Win-Back Campaign
When users are flagged as likely_to_churn, automatically add them to a personalized reactivation campaign.
Show In-App Nudge
Display contextual messages (tutorials, incentives) when users are flagged at risk.
Data Requirements
Just send us login, session, and feature usage events. Most of this comes from SDK.
Example Event
{
"event": "feature_used",
"user_id": "u_123",
"feature": "dashboard",
"timestamp": "2025-08-29T12:34:56Z"
}