90+ Days of Warning Before Renewal Risk Becomes Churn
Risk surfaces 90–120 days early — not 30 days out, when nothing can still be fixed.
Sales & RevOps
60–70% of B2B SaaS churn is predictable 90+ days ahead — signals sit in usage, NPS, and billing long before cancellation (OpenView).
Only 28% of CS teams run systematic prediction (Gainsight); for the rest, 70–80% of the intervention window closes before risk surfaces.
5-7x The AI Renewal Risk Agent monitors every signal across every account, triggering playbooks 90–120 days before risk becomes confirmed churn. Book a renewal risk assessment.
Business impact
3x
improvement in renewal save rate with AI-triggered early intervention vs. accounts that entered the 30-day window without proactive engagement
Six capability pillars that help CS and revenue operations teams protect ARR and drive NRR above 110%.
Real-time risk scores from 50+ signals.
Continuous risk tiers, flagged early.
Playbooks and outreach per risk tier.
Champion departure flagged in advance.
Native CRM, product, and billing sync.
Probability-weighted renewal forecasts.
60–70% of SaaS churn is predictable 90 days out. Most CS teams see renewal risk 30 days too late.
Risk surfaces 90–120 days early — not 30 days out, when nothing can still be fixed.
Every account is scored continuously, not just the strategic 20% that get weekly reviews.
Probability-weighted forecasts beat stage-based CRM estimates by 15–25 accuracy points.
Integrations
The AI Renewal Risk Agent connects to leading CRM, customer success, product analytics, and billing platforms.
7 named systems it connects to
Running something not listed here? Tell us on the call — scoping the connector is the first step.
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View agentIt monitors 50+ signals continuously with ML trained on your own churn history, then triggers playbooks itself.
50+ signals: product usage, CRM engagement, support tickets and sentiment, billing, champion stability.
Champion loss raises churn risk 40–60%, so it flags CRM inactivity, LinkedIn job changes, and email bounces.
No-code playbooks for usage recovery, champion loss, competitive defence, and renewal acceleration — all CSM-approved.
Salesforce, HubSpot, Gainsight, Mixpanel, Zendesk, Gong, Stripe, and any REST API or webhook source.
Signal-weighted renewal probability across 30/60/90-day cohorts replaces static CRM stage forecasts.
6–8 weeks. Needs API access to CRM, product analytics, and billing, plus 18 months of renewal outcomes.
Preventable churn drops 30–50% in 12 months; first-year ROI runs 300–500%, recovered in 3–5 months.
Churn prediction software scores renewal risk; renewal management runs the playbooks. This agent does both.
Yes — continuous retention and churn analytics, with an ARR dashboard by risk tier, vertical, and cohort.
The signals predicting your next churn event are in your product data, support tickets, CRM, and billing system right now. Get a live demo of the Renewal Risk Agent running against your customer data and a portfolio health assessment for your current renewal pipeline.
Book a Demo