Lead Scoring
Lead scoring is a methodology that assigns numerical values to leads based on their characteristics and behaviors to prioritize sales efforts on the most promising prospects.
In Depth
Lead scoring models evaluate two main dimensions: fit (does the lead match your ideal customer profile?) and engagement (how actively is the lead interacting with your brand?). Fit criteria include company size, industry, job title, and budget. Engagement criteria include website visits, content downloads, email opens, demo requests, and support interactions.
Traditional lead scoring uses manually assigned point values, while AI-powered scoring uses machine learning to analyze historical data and identify which attributes and behaviors best predict conversion. AI scoring continuously improves as it learns from actual outcomes. For support teams, lead scoring helps prioritize pre-sales inquiries — a high-scoring lead asking questions during evaluation should receive priority attention because converting them has the highest business impact.
Related Terms
Lead Qualification
Lead qualification is the process of evaluating whether a potential customer has the need, budget, authority, and timeline to purchase your product or service.
Lead Nurturing
Lead nurturing is the process of developing relationships with potential customers at every stage of the sales funnel through targeted content, education, and communication.
Sales Pipeline
A sales pipeline is a visual representation of where prospects are in the sales process, tracking deals through stages from initial contact to closed-won or closed-lost.
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