AI-Powered Lead Scoring
Machine learning model that scores leads based on historical conversion data
❌ The Problem
- →Traditional scoring models use arbitrary point values
- →Can't identify hidden patterns in conversion data
- →Scoring rules don't evolve with your business
- →Miss high-intent leads that don't fit the template
- →No way to predict conversion probability accurately
✅ The Solution
- →ML model trained on your closed-won deals
- →Behavioral + firmographic scoring combined
- →Continuous model improvement as new data comes in
- →Integration with Clay for automatic enrichment
- →Actual conversion probability (not arbitrary points)
How It Works
Historical Analysis
Analyze 100s of closed-won and closed-lost deals to identify patterns
Model Training
Train ML model on firmographics, behavior, engagement, and outcomes
Real-Time Scoring
Score new leads with predicted conversion probability (0-100%)
Enrichment Integration
Auto-enrich leads via Clay before scoring for better accuracy
Continuous Learning
Model retrains monthly with new conversion data
Key Features
Works With
Custom ML models built with Python and integrated into your stack.
Perfect For
B2B SaaS
Predict which leads will convert based on historical patterns
High-Volume Sales
Prioritize thousands of leads with data-driven scoring
Data-Driven Teams
Move beyond rule-based scoring to AI predictions
Pricing
$4,200
One-time setup + model training
Optional: $600/month ongoing maintenance
Includes monthly retraining, model monitoring, and support
Custom ML model trained on your conversion data
Integration with CRM and enrichment tools
Model documentation and feature analysis
30 days post-launch support and tuning
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