metadata
title: Lead.AI Customer Predictor
emoji: 🎯
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: true
license: mit
🎯 Lead.AI Customer Predictor
Know Which Customers Are About to Leave — Before They Do
What This Does
The Lead.AI Customer Predictor analyzes customer behavior data and produces:
- Churn Probability — how likely this customer is to stop buying
- Purchase Likelihood — how likely this customer is to buy again soon
- Customer Segment — actionable label (High-Value, At-Risk, Stable, etc.)
- Recommended Action — what to do right now, in plain English
Business Use Case
| Problem | Solution |
|---|---|
| You don't know who's about to leave | Churn score identifies at-risk customers weekly |
| Generic email blasts to everyone | Segmentation targets the right message to the right customer |
| Reactive customer service | Proactive outreach before the customer cancels |
| No data on purchase intent | Purchase likelihood score guides sales timing |
Industries: Subscription services, e-commerce, professional services, SaaS
Customer Segments
| Segment | Meaning | Action |
|---|---|---|
| 🌟 High-Value Active | Low churn, high purchase intent | Upsell now |
| ✅ Stable Retained | Low churn, not currently buying | Nurture content |
| ⚡ At-Risk, Still Buying | Buying but about to leave | Send retention offer |
| 🚨 High Churn Risk | Disengaging, not buying | Personal win-back message |
Get a Custom Deployment
⚠️ This demo runs on synthetic data. Your production system will be trained on your actual customer database.
Need this customized for your business?
👉 Request a Custom Lead.AI Setup → www.lead-ai.us
Buy the Starter Kit
👉 Buy Lead.AI Customer Predictor Kit — $79
| 🌐 www.lead-ai.us | 💻 GitHub | 📧 hello@lead-ai.us |