Guide · 7 min read

AI lead scoring that actually predicts revenue

Lead scores from 2019 predicted MQL-to-SQL. In 2026, AI scores predict closed-won at 5x the accuracy — because they include what the buyer actually said.

The three signal layers

Firmographic — industry, size, tech stack;;Behavioral — page views, product events, email engagement;;Conversational — what the buyer said on chat, email, and calls

Why conversational is the unlock

  • A buyer who typed 'we're evaluating vendors this quarter' converts 8x more than a matching-firmographic buyer who didn't. Rules can't see it; conversational models can.

What to feed the model

Every touch, transcript, CRM stage change, and won/lost outcome. Let it re-weight monthly, not annually.

See CoLive run this workflow live

Six named AI agents. One revenue engine. Talk to the founders — literally.