Churn Prediction Software for SaaS Companies

Predicting customer churn is one of the most valuable capabilities for any SaaS business. Aoria's churn prediction software analyzes customer behavior patterns to identify which accounts are likely to churn—before they actually leave.

Traditional churn analysis looks backward at customers who have already left. Aoria looks forward, using leading indicators to flag at-risk accounts while there's still time to save them.

Signals That Predict Churn

Our churn prediction software monitors multiple signals that correlate with customer churn in B2B SaaS:

Declining product usage patterns
Reduced engagement frequency
Increasing support ticket volume
Negative sentiment indicators
Champion or stakeholder changes
Payment or renewal hesitation

How Churn Prediction Works in Aoria

Aoria calculates a churn risk score for each account based on a weighted combination of behavioral data and CSM assessments. The score ranges from 0 (lowest risk) to 100 (highest risk), making it easy to understand at a glance which accounts need attention.

Accounts scoring above 70 are flagged as High Risk and automatically included in your Revenue at Risk dashboard. This helps customer success teams prioritize their efforts and demonstrate the impact of retention activities.

From Prediction to Prevention

Churn prediction is only valuable if it leads to action. Aoria doesn't just predict churn—it helps you prevent it by surfacing the specific signals driving each account's risk score, so your team knows exactly what to address.

Start predicting and preventing churn today with Aoria's customer success platform.