Analysisv2.4.1

Lead Qualification

Score inbound leads against your ICP using enrichment data, firmographics, and intent signals. Returns a structured decision with reasoning.

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Overview

Lead Qualification scores inbound leads against your Ideal Customer Profile using a combination of enrichment data, firmographic signals, and inferred buying intent. Pass a company name, domain, or raw form submission and receive a numerical score, a tier label (hot / warm / cold), and a human-readable explanation of the decision. The scoring model is configurable — supply your ICP criteria as a JSON schema and the skill calibrates accordingly.

Example Use Cases

01

Route every inbound demo request to the right sales rep based on fit score

02

Automatically discard out-of-ICP signups before they reach the CRM

03

Build a weekly digest that surfaces the highest-scored leads for SDR outreach

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↳ sample input

company_name:"Acme Corp"
domain:"acmecorp.com"
industry:"SaaS"
employees:210
annual_revenue_arr:"$15M"

↳ skill output

◈ This is what you get
0/ 100
🔥 HOTStrong ICP Match

confidence: 92%

Reasons

SaaS company with 50–500 employees — ideal ICP range
ARR of $15M signals budget authority for a fast-moving AI tools budget
Domain acmecorp.com active 8+ years — low churn risk
Recent job posts include "AI Engineer" and "Automation Lead"

Recommended action

Route to senior SDR for same-day outreach

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