# Lead scoring — definition | U [in] AI glossary

Source: https://u-in.ai/glossary/lead-scoring/
Updated: 2026-09-29

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- Lead scoring

(GLOSSARY)

# Lead scoring

Ranking leads by how well they fit and how ready they are, so the sales team works the top of the list.

Lead scoring assigns a value to each lead from two kinds of signal: fit (how closely the company matches the ICP) and intent (what the person has actually done — replied, asked about price, opened a proposal, visited the pricing page).

Scoring does not create demand. It orders existing demand, which matters when a small team cannot work every name in the list on the same day.

A score is only as good as its feedback loop. Without marking which scored leads became meetings and which became deals, the model drifts and the numbers become decoration.

## How we use it

Leads arrive in the client panel with a score, and the client accepts or appeals each one — those decisions are the feedback that keeps the scoring honest.

(NEXT)

## Related

(READ)

### AI Lead Scoring

Read

→ https://u-in.ai/ai-lead-scoring/

(READ)

### Buyer intent

Read

→ https://u-in.ai/glossary/buyer-intent/

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