Automating Company Data Enrichment and ICP Calculation

Use Case

This automation identifies a company's LinkedIn profile, extracts key business data, and calculates an ICP (Ideal Customer Profile) score to qualify and enrich company records. It is perfect for sales teams, data enrichment pipelines, and CRM integrations.

What This Automation Does

Input Parameters

• Company domain: The company's website domain (e.g., example.com).
• Airtop Profile (connected to LinkedIn): Your Airtop Profile authenticated for LinkedIn.
• Company LinkedIn (optional): If already known, skips search.

Output Includes

• Verified LinkedIn company URL (if not provided)
• Company profile (name, tagline, website, location, about)
• Scale metrics (employee count and bracket)
• Classification (automation agency status, AI focus, technical level)
• ICP score with justifications
• Structured JSON object with all values merged

How It Works

1. LinkedIn Detection: If not provided, attempts to locate the LinkedIn URL using website scraping or search.
2. Data Extraction: Uses Airtop to gather structured data from the company’s LinkedIn profile.
3. ICP Scoring: Applies a scoring rubric based on AI/tech orientation, scale, agency status, and geography.
4. Merge Results: All data components are merged into a unified output.

Setup Requirements

1. Airtop API Key
2. Airtop Profile with LinkedIn authentication

Next Steps

• Combine with Person Enrichment: Pair with workflows that enrich individuals tied to the company.
• Sync to CRM: Connect the output to your CRM for record enrichment or scoring fields.
• Adjust ICP Scoring Logic: Modify the rubric for your organization's ICP model.

Read more about company data enrichment and ICP scoring