churn predictor
Predict who’s about to cancel — before they do.
Why It Matters
Every company loses customers — but most notice it too late.
Instead of reacting after churn happens, predict it before it costs you money.
26 % average churn = 1.3 M $/year loss for 10 k customers
Retaining just 20 % of at-risk users saves over 200 k $/year
Acquisition is 5–25× more expensive than retention
What We Built
A complete, production-ready churn prediction framework consisting of four phases:
Data Analysis & Insights – detect churn patterns and key risk factors
Machine Learning Models – 5 algorithms tested, best model auto-selected (≈ 80 % accuracy)
Explainable AI – visualizes why each customer is predicted to leave (SHAP, feature importance)
Interactive App – single or batch predictions, risk categories, retention recommendations
→ Output: ready-to-deploy Streamlit web app and trained model.
Business Impact
OLD WAY: customer leaves → you notice → too late
NEW WAY: AI predicts → you act → you keep revenue
Revenue protection – stop money walking out the door
Data-driven retention decisions
Scalable – analyze thousands instantly
Industry-agnostic – retrain for any sector
Competitive edge – while others react, you predict
Use Across Industries
Our framework adapts to your data:
SaaS → login frequency, feature adoption, support tickets
E-commerce → purchase history, basket size, refunds
We simply replace your dataset → retrain → deploy.
Example Actions
When a high-risk customer is detected:
Trigger automated re-engagement email
Alert account manager for personal outreach
Offer free upgrade trial or personalized session
→ Proven to reduce churn by 25 % on pilot datasets.
Demo & Integration
We can integrate the model into your CRM, analytics dashboard, or provide it as a hosted internal tool.
Ask for a live demo or custom pilot for your data.
Clients
What else we do