Glossary

Lead scoring

A method of ranking leads by assigning points for behaviors and attributes that correlate with a likelihood to buy.

Lead scoring assigns a numeric score to each prospect based on a combination of demographic or firmographic fit, such as company size or job title, and behavioral signals, such as email opens, page visits, or content downloads. Once a lead's score crosses a defined threshold, it typically becomes a marketing qualified lead and is routed to sales.

Rule-based lead scoring, where a team manually assigns point values to specific actions, is the traditional approach and remains common because it is transparent and easy to adjust. A more data-driven alternative fits a propensity model to historical won and lost deals, letting the data determine which signals actually predict conversion rather than relying on assumptions. Lead scoring is conceptually similar to RFM analysis in retail, in that both convert raw behavior into a single ranking, though lead scoring is built for a sales handoff rather than a purchase-timing decision.

Lead scoring matters because sales time is limited, and a good score concentrates outreach on the prospects most likely to convert instead of treating every inbound contact equally. Scores that are never revalidated against actual outcomes tend to drift out of date as buyer behavior and product-market fit change, so periodically checking scored leads against what they actually did is essential upkeep.

Last reviewed September 22, 2026

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Related terms

Marketing qualified lead (MQL) A lead that marketing activity has judged likely enough to convert that it gets handed to sales for follow-up. Product-qualified lead (PQL) A free or trial user whose in-product behavior signals they are ready to be approached about a paid plan. Propensity model A predictive model that scores how likely an individual is to take a specific action, such as buying, churning, or clicking. Customer journey mapping The practice of visualizing every touchpoint a customer has with a brand, from first awareness through purchase and beyond. RFM analysis A segmentation technique that scores customers on how recently, how often and how much they buy.

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CallRail Self-serve call tracking and conversation analytics that attributes phone leads and form fills to marketing sources. FullContact Privacy-focused identity resolution API that matches contact fragments (email, phone, device IDs) into a single hashed identity. Invoca Marketing call-tracking and AI conversation analytics that attributes inbound phone calls back to ads and campaigns.