Definition
What is Lead Scoring?
Lead scoring assigns numerical values to sales leads based on their attributes and behaviors to rank them by likelihood to convert. It helps sales teams prioritize who to contact first.
How it works
A lead scoring model typically combines demographic data (company size, industry, job title) with behavioral signals (website visits, email opens, content downloads, pricing page views). Each signal adds or subtracts points. Leads above a threshold are considered sales-qualified and routed to a rep. AI-powered lead scoring uses machine learning to find patterns in historical conversion data, often outperforming manual scoring rules. Lead scoring is commonly implemented inside CRMs like HubSpot or Salesforce, or through external automation tools that enrich and score leads in real time.
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View SolutionsLast updated: March 2026