A B2B SaaS company facing 8% monthly churn rebuilt their analytics stack to gain real-time visibility into customer health scores. By identifying at-risk accounts early and automating engagement workflows, they reduced churn to 2.1% and increased ARR by 34% in two quarters.
The company relied on manual customer health scoring updated monthly. Support tickets were the only early warning system, leading to reactive churn prevention. Without behavioral analytics, the success team couldn't identify which features drove retention or which accounts were disengaged until cancellation.
Webskyne built a real-time analytics pipeline capturing product usage events, integrated with CRM and support systems, and created a dynamic health score algorithm. Automated alerts triggered engagement workflows before accounts churned.
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