Definition
Lead scoring is the systematic ranking of leads by likelihood and value. Instead of treating every contact equally, a points system assigns weights to demographic and behavioural signals - and prioritises the list sales actually works.
Demographic signals describe who the lead is: industry, company size, role, region. Behavioural signals show what they do: pricing-page visit, demo request, whitepaper download. Modern scoring systems combine both dimensions.
The next-generation move: dynamic scoring with external data sources. Instead of relying only on form data, buying signals from tools like LinkedIn Sales Navigator, Crunchbase or company registries are pulled in automatically - and the ranking updates itself, no manual upkeep.
Why it matters
Without lead scoring sales works chronologically and burns hours on unqualified leads. With good scoring the hot 5% land at the top - pipeline velocity and close rate rise measurably.
In practice
- 01B2B SaaS: a C-level at a 200+ headcount firm with demo request = 90 points; a student newsletter signup = 5.
- 02Industrial real estate: companies with recent funding round + new site expansion = automatic high score.
- 03B2B e-commerce: triple pricing-page visit + cart created = sales-qualified lead.
