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LinkedIn ICP Scoring Automation with Airtop & Google Sheets

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  • Delivery Time 1-3 Days
  • Response Time 1 Day
  • English Level Basic level

Description

Automated lead qualification from LinkedIn using company ICP scoring โ€” powered by Airtop + GPT

๐Ÿ“‰ Stop wasting time on low-fit leads โ€” this workflow analyzes LinkedIn company profiles and scores them based on your Ideal Customer Profile (ICP) criteria

๐Ÿง  What Problem Does It Solve?
Manually researching LinkedIn companies and scoring them is slow, inconsistent, and non-scalable. This automation instantly qualifies companies by extracting data and calculating a structured ICP score using your predefined logic. It gives your sales or marketing team immediate insights on:
๐Ÿ”น AI Adoption
๐Ÿ”น Technical Sophistication
๐Ÿ”น Company Size
๐Ÿ”น Automation Focus
๐Ÿ”น Geography

โš™๏ธ How it Works
๐Ÿ“‚ Reads company LinkedIn URLs from Google Sheets
๐Ÿ”— Uses Airtop to extract real-time profile data
๐Ÿ“Š Calculates an ICP score using point-based criteria
๐Ÿงพ Formats the score and updates your Google Sheet automatically
๐Ÿ“ฌ Optionally notifies teams when high-ICP leads are found

โœจ Key Features
๐Ÿ” AI-based company enrichment using real LinkedIn data
๐Ÿง  Customizable ICP score logic for your business
๐Ÿ“Š Google Sheets integration for easy viewing and filtering
๐Ÿ“ˆ Handles batch data and scales across multiple records
โœ… Includes validation, formatting, and update steps

๐Ÿ”ง What You Need
โœ… Airtop account with API key
โœ… Google Sheets account
โœ… Company LinkedIn URLs in your spreadsheet
โœ… Pre-created columns Linkedin_URL_Company and ICP_Score_Company
โœ… (Optional) CRM or notification integrations

๐Ÿ› ๏ธ Setup Instructions
๐Ÿ”— Connect your Airtop and Google credentials in n8n
๐Ÿ“„ Prepare your Google Sheet with company LinkedIn URLs
๐Ÿ“ฌ Use the provided LinkedIn prompt in Airtop to extract data
๐Ÿงฎ Set your scoring criteria (or use the default point system)
๐Ÿงช Test with a few rows, then scale to large batches

๐ŸŽฏ Scoring Criteria (Customizable)
๐Ÿข AI Focus โ€” Low (5 pts), Medium (10 pts), High (25 pts)
๐Ÿ”ง Technical Tier โ€” Basic (5 pts), Intermediate (15 pts), Advanced (25 pts), Expert (35 pts)
๐Ÿ‘ฅ Employee Count โ€” 0โ€“9 (5 pts), 10โ€“150 (25 pts), 150+ (30 pts)
๐Ÿค– Automation Agency โ€” Yes (20 pts), No (0 pts)
๐ŸŒ Geography โ€” US/EU (10 pts), Other (0 pts)

๐ŸŒ Real-World Use Cases
๐Ÿ’ผ B2B AI startups prioritize top automation-driven leads
๐Ÿ“Š SaaS platforms tier leads into high/medium/low categories
๐Ÿ† Outbound teams build faster, smarter prospecting lists

โœ… Best Practices
๐Ÿ“ˆ Review scoring logic quarterly
๐Ÿ“ค Use automated outreach for top-tier leads
๐Ÿงน Clean and validate LinkedIn URLs before running
๐Ÿงฉ Integrate CRM or Slack for real-time alerts

๐Ÿ”Œ Integrations
Google Sheets
Airtop
n8n
LinkedIn (via Airtop extraction)

Project Link:-[https://preview--rocket-lead-scorer.lovable.app/]

About The Seller

harsh siso...

AI Workflow & Automation Developer

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  • Location:

    India
  • Member since:

    July 9, 2025
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Ref #: EX-10483

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