B2B SaaS

Deploying Predictive AI to Automate Customer Success and Eradicate Churn

Deploying Predictive AI to Automate Customer Success and Eradicate Churn

Engineered a predictive AI middleware pipeline that analyzes real-time product telemetry to autonomously trigger personalized onboarding interventions, drastically reducing enterprise user churn.

Velosite Thumbnail
Velosite Thumbnail
40%

Reduction in Churn Risk

40%

Reduction in Churn Risk

< 2 mins

Autonomous Intervention Latency

< 2 mins

Autonomous Intervention Latency

100%

Automated Health Scoring

100%

Automated Health Scoring

The Operational Friction

Velosite SaaS was acquiring enterprise users rapidly, but their Customer Success team was drowning in reactive support operations. Because they lacked real-time, unified visibility into product usage telemetry, they could not identify which high-value clients were at risk of churning until it was too late. Manual "health-check" routines were painfully inefficient, requiring CS reps to dig through siloed Mixpanel dashboards, while generic, static email drip campaigns were being completely ignored by frustrated accounts. The manual latency between a user experiencing platform friction and a CS rep reaching out was costing the company significant recurring revenue.

"Before this deployment, our CS team was constantly putting out fires and reacting to churn after the fact. Stackgrid didn't just build a basic integration; they built an intelligent infrastructure that actually predicts user friction in real-time. It completely automated our health scoring and allowed our team to focus purely on high-level strategy instead of manual data digging. Our retention metrics transformed entirely."