AI Lead Scoring
ML-powered lead scoring by fit and intent. Custom models trained on your closed-won data automatically prioritize the prospects most likely to convert.
Key Capabilities
Fit Scoring
ML models analyze firmographic and demographic data to score how well each prospect matches your ideal customer profile. Industry, size, role, and tech stack all factor in.
Intent Signals
Detect buying intent from hiring patterns, technology changes, funding events, and web activity. Prioritize prospects who are actively in-market.
Custom Scoring Models
Train scoring models on your own closed-won data. Scrapine learns what a great customer looks like for your business and scores accordingly.
Automated Prioritization
Leads are automatically ranked and segmented by score. Route hot leads to your sales team instantly and nurture the rest.
How It Works
Define your ICP
Set your ideal customer profile criteria or let Scrapine learn from your historical win data. The model adapts as you close more deals.
AI scores every lead
Each prospect is scored on fit (does this person match your ICP?) and intent (are they showing buying signals right now?).
Prioritize and act
Sort your pipeline by lead score. Route high-scoring leads to reps automatically and set up nurture sequences for the rest.
Focus on leads that convert
Let AI tell you which prospects deserve your attention. Score every lead by fit and intent.