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Lead Scoring

A methodology for ranking leads based on their perceived value to the organization using demographic fit and behavioral engagement signals. Lead scoring helps sales and marketing teams prioritize outreach to the most promising prospects.

Lead scoring assigns numerical values to leads based on two dimensions: fit (how well the lead matches your ideal customer profile) and engagement (how actively the lead has interacted with your brand). Fit scoring evaluates attributes like company size, industry, role, and budget. Engagement scoring tracks behaviors like website visits, content downloads, email opens, and demo requests.

For growth teams, lead scoring bridges marketing and sales by creating objective criteria for when a lead is ready for sales outreach. Define scoring thresholds that trigger handoff: leads above a certain score become Sales Qualified Leads. Build your scoring model from analysis of past conversions: which attributes and behaviors correlated with closed deals? Common scoring signals include visiting the pricing page (high intent), downloading case studies (active evaluation), and role matches to your buyer persona (good fit). Refresh your scoring model quarterly based on new conversion data. The most common mistake is over-engineering the initial model. Start simple with 5-10 high-signal scoring rules, measure the model's predictive accuracy against actual conversions, and refine from there.

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