Lead Scoring
Last updated March 25, 2026
Lead scoring assigns numerical values to leads based on their likelihood to convert into customers using demographic, firmographic, behavioral, and intent signals.
Lead scoring is the process of assigning numerical values to leads based on their likelihood to become customers. Modern AI-powered lead scoring analyzes multiple signal types including firmographic data (company size, industry, revenue), demographic data (job title, seniority), behavioral data (website visits, email engagement, content downloads), and intent data (research activity on third-party sites). Tools like ZoomInfo, 6sense, and Clearbit provide AI lead scoring that automatically prioritizes the leads most likely to convert.
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Frequently Asked Questions
How does AI lead scoring work?
AI analyzes historical conversion data alongside real-time signals like website behavior, email engagement, and third-party intent data to predict which leads are most likely to become customers.
What is the difference between lead scoring and lead grading?
Lead scoring measures engagement and behavior (how interested the lead is). Lead grading measures fit against your ICP (how well the lead matches your ideal customer profile).
Which tools provide AI lead scoring?
ZoomInfo, 6sense, Clearbit, HubSpot, Salesforce Einstein, and Warmly all provide AI-powered lead scoring capabilities.