How to Define Your ICP from Customer LinkedIn Profiles with n8n

Defining your Ideal Customer Profile (ICP) is essential for any sales or marketing team targeting growth on LinkedIn. Traditional ICP definition methods are time-consuming and make it difficult to incorporate real, up-to-date signals from your best customers. Manual research, copy-pasting data from profiles, or building custom scripts can lead to incomplete, unreliable results, especially with LinkedIn’s constant UI updates and data access restrictions.

Airtop’s ICP definition automation solves this by leveraging n8n and LinkedIn together. Instead of relying on guesswork or spreadsheets, you can analyze real LinkedIn profiles of your highest-fit customers. The automation extracts detailed structured data from each profile—like job titles, companies, skills, and experience—and uses advanced AI to synthesize this into a precise ICP definition and a scoring model. The result is a Google Doc with an actionable ICP description and a Boolean search string for future prospecting. Airtop’s authenticated browser sessions handle logins, 2FA, and Captcha, ensuring reliable extraction even behind LinkedIn’s login wall.

With n8n, all the steps—from profile collection, enrichment, data synthesis to document generation—run seamlessly and can be easily adapted or extended. This process scales from small teams to enterprise workflows, unlocking structured, repeatable ICP modeling and targeting for anyone using LinkedIn and n8n.

Who is this Automation for?

• Marketing managers seeking data-driven ICP definitions for LinkedIn-based campaigns

• Sales operations teams building lists of high-fit prospects and scoring incoming leads

• RevOps/Go-To-Market teams automating and standardizing targeting models across the organization

• Growth consultants or agencies supporting clients with prospect research and lead enrichment

Key Benefits

• Automated extraction of structured LinkedIn data with authenticated browser sessions

• No code integration within n8n, easy to deploy and customize

• Scalable, repeatable ICP definition with AI-generated scoring model and Boolean search string

• Outputs directly to Google Docs for easy sharing and collaboration

Use Cases

• Generate a data-backed ICP for targeting high-value companies on LinkedIn

• Score and prioritize lists of prospects using the derived scoring model

• Create Boolean search strings to plug into LinkedIn or Google for lead generation

• Continuous ICP refinement as customer segments evolve

• Share ICP and scoring documentation across sales and marketing teams

• Automate research for product launches or entering a new market segment

• Develop repeatable frameworks for outbound lead campaigns

• Help agencies quickly define ICPs for new clients using real customer data

Getting Started with the Define ICP from Customer Examples Automation

Setting up this automation is simple. You’ll have your data-enriched ICP definition and scoring model in just a few minutes.

How the Define ICP from Customer Examples Automation Works

The automation is triggered when you submit one or more LinkedIn profile URLs, typically through a chat interface. Airtop automatically logs into LinkedIn, extracts detailed, structured data from each profile, and uses Claude 3.7 Sonnet to analyze patterns and synthesize a robust ICP definition. The automation also generates a scoring rubric and a Boolean search string based on the most predictive features seen among your customers. This analysis is automatically saved as a timestamped Google Doc for easy access, sharing, or further refinement.

What You’ll Need

• Free Airtop account

• Airtop Profile connected to LinkedIn (see Airtop Profiles)

• Airtop API credentials

• n8n account

• Google account with OAuth2 credentials (optional, for auto-export to Google Docs)

Setting Up the Automation

1. Click on Try Automation on the automation page.

2. Select "Use for free" in n8n and follow the guided setup.

3. When prompted, enter your Airtop API credentials and select your Airtop Profile authenticated with LinkedIn.

4. Run the automation. Paste your high-fit customer LinkedIn URLs as needed.

5. Optional: Enable scheduled runs for ongoing ICP refinement as you gather more customer examples.

Customize the Automation

Easily tailor this automation in n8n and Airtop to your specific workflow. For example:

• Add filters to focus the analysis on company size, industry, or geography

• Integrate with other CRM or lead databases for cross-referencing ICP criteria

• Customize the final Google Doc output format for executive summaries or team-ready documents

• Modify triggers to auto-run the ICP refresh based on Slack or email input

Automation Best Practices

• Use several high-fit customer profiles for the most accurate and nuanced ICP modeling

• Update your LinkedIn-authenticated Airtop Profile regularly to maintain extraction reliability

• Review and fine-tune Boolean search output for different campaign or targeting channels

• Schedule recurring automation runs to keep your ICP fresh as your customer base evolves

Try this Automation

Automate ICP definition and scoring from LinkedIn data—directly in n8n—with structured, AI-powered analysis you can trust. This is the Define ICP from Customer Examples automation (n8n).

Need help customizing this automation? Book a Demo today!