Machine learning models analyze 50+ signals — behavioral patterns, intent data, firmographic fit, and engagement history — to surface the leads most likely to convert.
Join WaitlistYour reps waste hours chasing leads that never buy. SalesDots Lead Scoring uses machine learning trained on your historical data to identify which leads have real buying intent — so every call and email goes to the right prospect at the right time.
Score leads using 50+ signals: website behavior, email engagement, firmographic match, tech stack compatibility, funding events, and more.
Automatically compare each lead against your Ideal Customer Profile — industry, size, tech stack, geography, and growth indicators.
Scores update continuously as new signals come in. A cold lead that suddenly visits your pricing page gets instantly reprioritized.
ML models trained on your win/loss history predict conversion probability for every lead in your pipeline.
Detect buying intent signals from website visits, content downloads, competitive research, and third-party intent data.
Every score comes with a clear explanation of why: which signals increased the score, and which are missing.
High-scoring leads are automatically routed to the best-fit rep based on territory, expertise, and availability.
SalesDots collects engagement data, firmographic information, intent signals, and behavioral patterns for every lead.
Machine learning models evaluate all signals against historical conversion patterns to generate a real-time priority score.
Top-scoring leads surface to the right reps with full context — why the score is high, what the lead cares about, and the recommended approach.
Works best when combined with these modules
Join the waitlist and be among the first to experience AI Lead Scoring.
Join Waitlist