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Predictive Analytics2025
Algorithmic Customer Churn Prediction
Client
Vibe Streaming Network
Overview
Vibe Streaming is a digital entertainment platform. We created a real-time risk assessment model to predict customer cancellation.
The Challenge
Vibe Streaming was experiencing a rise in subscription churn but lacked visibility into user behavior patterns that predicted cancelation, making retention efforts reactive and ineffective.
The Solution
We engineered an end-to-end ML pipeline in Snowflake. It aggregates telemetry data, runs XGBoost feature extraction, and calculates daily risk scores, triggering automated retention emails and discounts.
Strategic Impact
"Reduced churn by 25% in the first quarter of deployment, reclaiming millions in annual recurring revenue."
Business Outcomes
Decreased churn by 25%
Saved $1.8M in ARR
92% precision in risk profiling
Automated retention triggers
Core Features
Real-Time Telemetry Processing
Feature Ingestion Pipeline
XGBoost Risk Classifier
Automated Discount Triggers
Data Lake Integration