Know which customers are about to leave — before they do.
Combine product usage, support tickets, and payment patterns into a single health score. Alert CS weeks before renewal, not the day of the cancellation.
Sound familiar?
- You find out an account is leaving the week they submit the cancellation.
- Usage drops go unnoticed across 200 accounts on a dashboard.
- Every CS rep defines 'at-risk' differently — coverage is inconsistent.
- By renewal time, there's nothing left to save.
Here's the fix.
- Pull usage, support, payment, and sentiment signals on a daily cycle.
- Compute a health score per account weighted for your business model.
- Surface accounts with negative trends — and show why, not just what.
- Alert the CS owner with a suggested play: reach out, escalate, or upsell.
- Track which signals actually predict churn; the model tunes itself.
estimates · based on typical engagements · your numbers vary with volume
Things people ask on the call.
Product usage (from your database, Mixpanel, Amplitude, or Segment), support tickets (Zendesk, Intercom, Help Scout), billing (Stripe, Chargebee), NPS/survey data, and email engagement. We scope to what you already have.
Both. A dashboard view of all accounts with live health scores, plus Slack or email alerts when an account crosses an at-risk threshold or shows a specific signal pattern.
Depends on your data and history. After 6–8 weeks with your past churned accounts as training data, precision on 'high-risk' flags typically lands at 70–85%. False positives get tuned out quickly.
Yes — every alert has a 'false positive / true positive' feedback button. That labels the data and makes the next month's predictions sharper.
30 minutes and a rough idea of your workflow.
That's all we need to scope it.
free · no prep · no sales pitch