✦ Use Case

DealForge for AI Lead Scoring

AI lead scoring is the automated assessment of prospects against a defined Ideal Customer Profile (ICP), assigning a numerical or categorical quality rating based on firmographic fit and behavioral signals. High-scoring leads get prioritized for outreach; low-scoring leads are filtered before any time is spent.

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Definition

AI lead scoring is the automated process of evaluating B2B prospects against an Ideal Customer Profile (ICP) and assigning a quality score, enabling sales teams to prioritize outreach on the highest-fit accounts without manual qualification.

89%
ICP match accuracy
3-tier
hot / warm / cold qualification
0
manual qualification steps
T1/T2/T3
research depth tiers by score

How DealForge Handles AI Lead Scoring

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Frequently Asked Questions

How does DealForge calculate an ICP match score?

DealForge scores each prospect against your ICP definition: industry match, company size range, role seniority, geography, and any custom qualifiers you configure. The score is a weighted composite — companies that match on every dimension score highest. The full breakdown is visible per prospect.

Can I change the scoring thresholds?

Yes. The default hot threshold is ≥80 and warm is ≥50, but both are configurable via the ICP settings panel. Lowering the hot threshold increases pipeline volume; raising it concentrates research on tighter matches.

Simple Pricing. No Sales Call Required.

Start free with 30 prospects. Upgrade when you're ready to scale.

Starter — $29/mo · 30 prospects · AI drafts
Pro — $79/mo · Unlimited · Autopilot · SendGrid
Closer — $149/mo · + AI voice calls
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