Lead Scoring.
A methodology for ranking prospects based on their perceived value to your business. AI-powered lead scoring uses behavioural data, firmographics, and engagement patterns to assign scores automatically.
Definition
What is Lead Scoring?
Lead scoring assigns numerical values to each prospect based on signals that indicate buying intent. Traditional lead scoring uses manual rules—job title gets 10 points, visiting the pricing page gets 20 points, downloading a whitepaper gets 15 points. AI lead scoring goes further by analysing hundreds of signals simultaneously and discovering patterns that humans miss.
The goal is simple: ensure your sales team spends time on leads most likely to close, while marketing continues nurturing leads that aren't ready yet. When done right, lead scoring transforms a chaotic pipeline into a predictable revenue engine.
Business Impact
Why it matters.
AI scoring filters out low-intent contacts before they waste sales time.
Hot leads get immediate attention, shortening time-to-close dramatically.
Sales teams working scored leads close more deals with less effort.
Comparison
AI scoring vs manual scoring.
Manual Lead Scoring
AI Lead Scoring
Key Signals
What AI lead scoring measures.
Website Behaviour
Pages visited, time on site, return visits, pricing page views
Email Engagement
Open rates, click patterns, reply frequency, unsubscribe signals
Firmographics
Company size, industry, revenue, technology stack, growth rate
Intent Signals
Demo requests, content downloads, chatbot conversations, form fills
Related Terms
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