Glossary

Lead Score

Lead Score is a numeric or categorical value assigned to a prospect to indicate how likely they are to become a qualified opportunity or customer, based on fit and intent signals. It is typically owned and used by sales, marketing, and RevOps teams, and becomes critical from initial lead capture through qualification (MQL → SQL) and early pipeline stages. Common related terms include lead scoring model, fit score, behavioral score, MQL threshold, and PQS/SQO criteria.

Importance in B2B Sales

Lead Score is significant because it helps B2B organizations prioritize limited sales capacity on the prospects most likely to convert and generate revenue. By turning buyer behavior and firmographic data into a quantifiable Lead Score, teams can standardize what “good” looks like and reduce subjective judgment in qualification. It improves speed-to-lead on high-intent prospects, optimizes marketing spend toward channels that generate high scores, and aligns sales and marketing around shared definitions of quality. Strategically, a well-calibrated Lead Score supports more accurate forecasting, better territory planning, and clearer handoffs between marketing and sales.

FAQ

How is a Lead Score typically calculated in B2B sales?

A Lead Score is usually calculated by combining fit data (industry, company size, role, tech stack) with intent/behavioral data (website visits, content downloads, email engagement, product usage). Each action or attribute is given points, and the total Lead Score determines priority and qualification status.

Who should own and maintain the Lead Score model?

Ownership typically sits with Revenue Operations or Marketing Operations, in close partnership with Sales and Demand Generation leaders. Sales provides feedback on lead quality, while Ops adjusts the Lead Score rules and weights based on performance data.

What is a “good” Lead Score, and when should sales engage?

A “good” Lead Score is one that reliably predicts higher conversion to opportunity or customer, often defined by a threshold (e.g., 70+). Sales should engage as soon as a Lead Score crosses the agreed MQL or sales-ready threshold, with SLAs that define response time for high-scoring leads.

How often should we revisit or adjust our Lead Score model?

Review your Lead Score model at least quarterly, or sooner if you change ICP, launch new products, or see a drop in conversion rates. Use closed-won/closed-lost analysis to refine which attributes and behaviors actually correlate with success.

What’s the difference between Lead Score and account scoring in ABM?

Lead Score focuses on an individual contact’s fit and behavior, while account scoring aggregates signals across multiple contacts within a target account. In ABM motions, both are used together: account scoring to pick where to focus, and Lead Score to determine whom to engage first within that account.