ICP Lead Scoring Engine

The ICP Lead Scoring Engine evaluates inbound lead payloads across three critical business dimensions: Industry Fit, Company Headcount, and Title Seniority.

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3-Axis Scoring Breakdown

Total score is normalized from 0 to 100 points:

  Total ICP Score (100 pts) = Industry Score (35 pts) + Company Size Score (40 pts) + Seniority Score (25 pts)

Dimension	Points	Criteria
Industry Fit	35 pts	Target ICP industries (Finance, B2B Sales, Logistics, SaaS, Fintech = 35 pts; Others = 15 pts)
Company Headcount	40 pts	Sweet spot 50–500 employees (40 pts); >500 employees (25 pts); under 50 employees (15 pts)
Title Seniority	25 pts	C-suite / VP / Head of / Director (25 pts); Managers / Leads (15 pts); Individual Contributors (5 pts)

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Tier Routing Matrix

Leads are automatically assigned to routing tiers based on their final ICP score:

• Tier 1 (Score ≥ 75): High Priority — Trigger immediate sales booking and automated closed-won provisioning.
• Tier 2 (Score 50–74): Standard Priority — Assign to RevOps outreach pipeline.
• Tier 3 (Score under 50): Low Priority / Nurture — Route to automated email sequence.

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Code Example

from linkedin_gtm import LinkedInGTMLeadEngine

engine = LinkedInGTMLeadEngine()
result = engine.score_lead({
    "prospect_name": "Marcus Vance",
    "prospect_title": "Head of Growth",
    "company_name": "SaaSMetrics Inc",
    "industry": "SaaS",
    "employee_count": 120,
    "estimated_deal_value": 30000
})

print(f"Score: {result['icp_score']}/100 | Tier: {result['icp_tier']}")