Lead Scoring

Updated May 27, 2026

What this skill does

Implements a lead scoring model that evaluates prospects based on demographic fit, firmographic data, behavioral engagement, and intent signals. Assigns numerical scores to prioritize sales outreach and route leads to the right team. Continuously refines scores based on conversion outcomes.

Example

PROMPT

Create a lead scoring model for our B2B SaaS product. ICP: 50-500 employee tech companies in North America.

OUTPUT

Lead Scoring Model — B2B SaaS SCORING CRITERIA (0-100) Firmographic (40 pts max) Company size 50-500: +15 Tech industry: +10 North America: +10 Revenue >$5M: +5 Behavioral (40 pts max) Visited pricing page: +10 Downloaded whitepaper: +8 Attended webinar: +8 Multiple site visits: +7 Opened 3+ emails: +7 Engagement (20 pts max) Requested demo: +15 Replied to outreach: +5 THRESHOLDS Hot (80-100): Route to SDR immediately Warm (50-79): Add to nurture sequence Cold (0-49): Continue marketing touches

Required Tools

HubSpot

Compatible Agents

Claude

Cursor

Windsurf

ChatGPT

Any MCP-compatible agent

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Download Skill

Or install via CLI:
$ npx skills add webrix-ai/agent-skills --skill lead-scoring

Deploy Org-wide

Provision to teams via RBAC

Identity-aware execution

Signed & verified skills

Full audit trail

Auto-bundled with required MCP servers

Use with

Free for up to 5 users

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