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SaaS

Dynamic Churn Sentinel

Confidential SaaS client

-22%
Churn reduction
3–6 weeks
Early warning window
+8 pts
NRR improvement

Challenge

A B2B SaaS platform only learned about churn risk when customers submitted cancellation requests. Customer success teams lacked early signals tied to product usage patterns, seat utilization, and support ticket sentiment.

Approach

Sunray Labs implemented an EnTX analytics layer that ingests product telemetry, support tickets, and billing events. A scoring model ranks accounts by churn probability and triggers automated playbooks — personalized outreach, executive alerts, and success manager tasks.

Outcome

Customer success shifted from reactive firefighting to proactive retention. At-risk accounts receive intervention weeks before renewal, with measurable impact on net revenue retention.

Technology Stack

EnTXUsage telemetryScoring modelCRM integration
System Ready

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Guaranteed ROI Roadmap
14-Day MVP Sprints
Full IP Ownership
> initializing_contact_protocol...
> checking_availability...
> slots_available: true
> connecting_to_sales_agent...

// READY FOR DEPLOYMENT
const project = {
status: "pending",
priority: "high",
security: "sovereign"
}
Next Available Sprint
Q1 2026 Scheduling Now
CapacityLimited