AI Lead Scoring Dual-Signal

FREE MINI-REPORT — 2026-03-11T00:00:00.000Z

AI Lead Scoring: The Dual-Signal Framework Subject: Merging ICP Fit with Real-Time Intent The Problem with Rule-Based Scoring Static point systems (e.g., +5 for a webinar) fail because they don’t account for the “Dark Funnel” journey. The MadKudu/6sense Architecture Split scores into two distinct pillars: Fit Score (Firmographics): Industry, size, tech stack. Answers: “Can they buy?” Intent Score (Behavioral): Pricing page visits, comparison guide downloads, third-party intent spikes. Answers: “Are they buying now?” The Threshold → Action Matrix High Fit + High Intent: Immediate Sales alert (2-hour SLA).

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AI Lead Scoring: The Dual-Signal Framework

Subject: Merging ICP Fit with Real-Time Intent

The Problem with Rule-Based Scoring

Static point systems (e.g., +5 for a webinar) fail because they don’t account for the “Dark Funnel” journey.

The MadKudu/6sense Architecture

Split scores into two distinct pillars:

Fit Score (Firmographics): Industry, size, tech stack. Answers: “Can they buy?”

Intent Score (Behavioral): Pricing page visits, comparison guide downloads, third-party intent spikes. Answers: “Are they buying now?”

The Threshold → Action Matrix

High Fit + High Intent: Immediate Sales alert (2-hour SLA).

High Fit + Low Intent: Targeted LinkedIn ad sequence + whitepaper nurture.

Low Fit + High Intent: Monitor only. This is often market research, not a buyer.

Key Stat: AI-scored leads convert 2x to 3x higher than non-scored leads by focusing sales reps on the “In-Market” 5-7% of the total addressable market.