Automate Ideal Customer Profile Creation from LinkedIn Data - n8n Workflow | Neura Market

    Automate Ideal Customer Profile Creation from LinkedIn Data

    This workflow helps marketing and sales teams define their Ideal Customer Profile (ICP) by analyzing LinkedIn profiles of high-fit customers. It enriches profile data to generate a structured ICP definition and scoring model for future targeting.

    The workflow automates the process of defining an Ideal Customer Profile (ICP) by leveraging LinkedIn data. It begins by triggering on chat messages containing LinkedIn profile URLs. An AI agent processes these URLs, and Airtop enriches the data by extracting detailed information such as job titles, companies, and skills. This enriched data is analyzed using Claude 3.7 Sonnet to synthesize a comprehensive ICP. The final output is a Google Doc containing the ICP analysis and scoring methodology,
    Platform
    n8n
    Category
    Marketing
    Price
    Free
    Creator
    Oscar Berg
    • Marketing
    • airtopTool
    • googleDocs
    • stickyNote
    • agent
    • chatTrigger
    • lmChatAnthropic
    • memoryBufferWindow
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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