Can OLARI help reduce customer churn?
Yes. OLARI identifies at-risk customers by analyzing usage patterns, engagement signals, and behavioral data. Teams using OLARI's churn prediction typically reduce churn by 20-40% through earlier intervention.
How OLARI Predicts Churn
Signals Monitored
How It Works
1. OLARI connects to your product and payment data
2. AI learns patterns associated with churn
3. Accounts are scored for churn risk
4. You receive alerts for at-risk customers
5. AI recommends intervention actions
Results Teams See
Example Alert
> **High Churn Risk: Acme Corp**
>
> Risk Score: 87/100
>
> **Signals:**
> - Login frequency down 60% over 3 weeks
> - Key feature usage stopped
> - Support ticket marked "considering alternatives"
>
> **Recommended Action:**
> - Schedule executive check-in
> - Review their specific use case
> - Consider retention offer if appropriate
Getting Started
1. Connect your product analytics (Mixpanel, Amplitude)
2. Connect your payment processor (Stripe, Paddle)
3. OLARI begins learning patterns immediately
4. Churn predictions available within 1-2 weeks