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Qualification and pipeline

Lead Scoring

Federico DonatoneBy · Updated October 15, 2026
Definition

Lead scoring is a method of ranking leads by giving each one points for how closely it matches your ideal customer profile and how strongly it shows interest in buying. The total score tells sales who to call first, who marketing should nurture longer, and who to drop from the list.

How lead scoring works

Most lead scoring models add up two kinds of points. Fit points measure who the lead is: industry, company size, job title, region and the tools the company uses. Engagement points measure what the lead does: replies, website visits, demo requests, event attendance. Many models also subtract points, for example for a personal email address, a competitor's domain or a long silence.

Keep the two scores apart before you add them up. A perfect-fit account that has never engaged needs outbound. An eager lead that does not fit needs a polite no. One blended number hides that difference.

High engagementLow engagement
High fitRoute to sales nowStart outbound
Low fitQualify by hand, often a noLeave out

A simple lead scoring formula

FormulaLead score = Fit points + Engagement points - Negative pointsAs an illustration: a VP of Sales (20 fit points) at a company in your target size range (20) who visited the pricing page (15) and replied to an email (25) scores 80, so the lead goes to a rep the same day.

Set the points and the threshold from your own closed deals, not from a template. Pull your recent won and lost deals, list what the winners had in common, and give those attributes the most points. Then compare the model with what actually closed every quarter, and adjust.

Several prospecting tools on our GTM tools page score leads while they build the list, which saves a step when the scoring rules are simple.

Lead scoring for outbound teams

Inbound scoring waits for leads to show behavior. Outbound teams have little behavior to score at the start, so they lean on fit and on buying signals such as a new executive, a funding round or a hiring push. The list itself becomes the first score: a tight list built from your ideal customer profile does more than any point system, as our guide on how to build a B2B lead list shows.

Fit-first targeting shows up in meeting quality. In the Growth Cab show rate study of 1,380 B2B meetings booked by cold calling, 92.9% of the meetings that took place were with prospects who matched the client's target profile.

92.9%of held B2B meetings were with prospects matching the client's target profileSource: Growth Cab show rate study, 2024 to 2026

Common lead scoring mistakes

  • Scoring email opens. Privacy features and security scanners trigger opens, so they say little about intent.
  • Too many rules. If a rep cannot explain why a lead scored high, they stop trusting the score.
  • No feedback loop. Scores never get compared with the deals that were won and lost.
  • One threshold for every segment. A startup founder and an enterprise director behave differently.
  • Scoring people but not accounts. In B2B, several people from one account engaging is a stronger signal than one very active person.
  • Points that never expire. A lead who engaged last year is not a hot lead today, so let engagement points fade over time.
From our workStart with fit only, checked against your recent closed deals, and add engagement points once you have enough inbound volume to test them.

Lead Scoring FAQ

What is a good lead score?
There is no universal number. A good score is the threshold above which leads in your own data turn into qualified opportunities often enough to deserve a rep's time. Set it from your closed deals and move it when conversion changes.
What is the difference between lead scoring and lead grading?
Some teams split the two: grading measures fit (who the lead is) and scoring measures engagement (what the lead does). Others use one score with both parts. The split is useful because it shows whether a lead needs outbound, nurturing or a fast call.
Can AI do lead scoring?
Yes. Predictive models and AI agents can score leads from CRM history, website activity and research on each account. They still need clean data and a clear definition of a won deal. Make sure a rep can see why a lead got its score, or the score will be ignored.

Related terms

Ideal Customer ProfileAn ideal customer profile (ICP) is a description of the type of company that gets the most value from your product and brings you the most value in return. A B2B ideal customer profile lists testable traits such as industry, size, location and a buying trigger, so sales and marketing know which accounts to pursue and which to skip. Buying SignalsBuying signals are observable clues that a prospect or account is moving toward a purchase. They range from company events, such as a new executive or a funding round, to research behavior, engagement with your outreach and questions asked on a sales call. Sellers use them to decide who to contact, when, and with what message. Marketing Qualified LeadA marketing qualified lead (MQL) is a lead that marketing judges likely to buy, based on fit and engagement, and passes to sales for follow-up. An MQL is not a qualified opportunity yet: it has shown interest, such as downloading a guide or attending a webinar, but no one in sales has confirmed the need. Sales Qualified LeadA sales qualified lead (SQL) is a prospect that the sales team has checked and accepted as a real opportunity worth pursuing. Sales confirms it, usually on a discovery call, against written criteria such as a clear need, access to the decision maker, a budget and a timeline. In most CRMs an SQL becomes an opportunity.

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Growth Cab is a go-to-market consulting firm for B2B tech companies selling $50,000+ deals. We build the outbound, LinkedIn and closing systems.

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