Glossary
AI lead scoring
HU AI lead-pontozás (lead scoring)
Definition
What is AI lead scoring?
AI lead scoring assigns every inbound enquiry a score, typically 1 to 100, from company size, decision-maker role, budget signals and behaviour such as visiting the pricing page or opening a proposal. Hot leads (80+) trigger an immediate call notification; cold ones enter an automated nurture sequence so salespeople spend their time only where it pays.
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Enrichment feeds the score
Before scoring, tools such as Clay, Apollo or LinkedIn data fill in company details and the decision-maker's name. The AI also reads the prospect's website to infer size and needs. Verified data then lands in MiniCRM, HubSpot or Pipedrive.
Frequently asked questions
How many follow-ups should the AI send?
The report's pattern is day 2, 7, 14 and a 'break-up' note on day 25, stopping the moment the prospect replies or books. 80% of deals close between the 5th and 12th touch, and most humans stop after one.
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