Churn Risk Detection
Identify accounts showing early signs of disengagement—such as reduced feature usage or support ticket volume—before the customer submits a cancellation request.
SaaS Analytics
Stop Churn Before the
Stop Churn Before the
Cancellation Email Arrives
Sonus analyzes product usage patterns to identify at-risk accounts 30 days before they cancel, giving your RevOps team the chance to intervene with targeted retention campaigns.
Core Capabilities
Three Signals That Matter Most
Expansion Signal Surfacing
Spot high-value usage patterns that indicate a customer is ready to upgrade seats or add modules, allowing your sales team to close expansion deals faster.
Feature Adoption Tracking
Monitor how new product releases are being adopted across your customer base, ensuring your roadmap aligns with actual user behavior.
Metric Examples
The "Red Flags" Sonus Watches For
Sonus correlates disparate data points to find the hidden patterns that precede churn.
DAU Dip: A 15% drop in Daily Active Users coinciding with a new feature release often signals adoption friction.
Support Ticket Surge: A spike in tickets related to billing or onboarding, occurring exactly 30 days before a contract renewal date, is a strong predictor of non-renewal.
Feature Drop-off: Users who complete the "Setup Wizard" but never touch the "Reporting Module" within 14 days are statistically 4x more likely to cancel within 90 days.
Native Integrations
Connects with your existing SaaS stack
Narrative Reports
Weekly Product Health Summary
"We noticed a 12% drop in API calls from Enterprise Account #4022. Sonus flagged this as a 'High Risk' signal and suggested a check on their recent onboarding workflow. We reached out, found a bug, and retained the customer."
Customer Success
From Reactive to Predictive
How a mid-market B2B SaaS platform used Sonus to improve Net Revenue Retention by 11 points.
The Challenge: CloudSync, a project management tool for agencies, struggled to identify which accounts were at risk of churning before their annual contracts expired.
The Solution: By integrating Sonus with their Amplitude and Salesforce data, CloudSync began monitoring for "feature abandonment" patterns. Sonus alerted their CSMs when a customer stopped using the "Team Collaboration" module for three consecutive weeks.
The Result: Within six months, CloudSync reduced churn by 18% and achieved a Net Revenue Retention (NRR) score of 112%, driven largely by successful expansion upsells identified through Sonus's expansion signals.
Get Started
See Sonus in Action for SaaS
Book a 30-minute demo tailored to your data stack. We'll show you how to predict churn and surface expansion opportunities.