This n8n workflow streamlines the process of defining an Ideal Customer Profile (ICP) based on real LinkedIn profiles of your best customers. Triggered by receiving LinkedIn profile URLs via chat, it uses Airtop for detailed data enrichment, AI analysis with Claude to synthesize and define the ICP, and Google Docs to generate a comprehensive report. This automation is ideal for marketing and sales teams looking to leverage existing customer data to refine targeting, score prospects, and generate Boolean search strings for finding similar high-value contacts. The workflow enhances data-driven decision-making by converting raw LinkedIn profile information into actionable insights, significantly boosting lead qualification and outreach efficiency.
Automated ICP Definition from Customer LinkedIn Profiles
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, airtopTool, googleDocs, stickyNote |
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