AI lead scoring explained: how a 100-point engine works

Stop guessing which leads are hot. Here's how AI scores every lead so your team works the right ones first.

The triage problem

Most sales teams treat every lead the same — first in, first worked. But leads aren't equal. Some are ready to buy; most aren't. Without a way to tell them apart, your best reps waste hours on tire-kickers while hot leads go cold.

What the engine measures

Redule's Hot Lead Detector scores each lead on a 100-point scale, continuously updating as new signals arrive. It weighs things like:

• Engagement: reply speed, message frequency, questions asked
• Intent signals: pricing questions, timeline mentions, document submission
• Fit: qualification details matched to your ideal customer
• Recency: how recently they engaged

Why AI beats rules

Old-school CRMs use static rules ("add 10 points for opening an email"). AI scoring learns from your actual outcomes — which leads actually closed — and adjusts weighting automatically. It catches patterns a human would never hand-code.

Acting on the score

A score is only useful if it drives action. In Redule, high scores can auto-trigger a voice call, a priority flag for a human rep, or an accelerated follow-up sequence. The lead doesn't just get a number — it gets routed to the right next step automatically.