Enrich your HubSpot CRM with Buying Signals: n8n Automation & GenAI
For B2B marketers, quality is way more important than quantity. If you know that a particular company in your ICP is looking for a solution you can offer, more than 60% of your sale is already done. Here's an automation workflow which helps you find buying signals to enrich the list of leads in your HubSpot CRM so that you know who to reach out to. Step 1 - Fetch contacts and company details from HubSpot - Node: HubSpot CRM (Contacts + Companies). - Pull key fields: contact name, job title, company name, company domain, recent interactions, and notes. - Optional: filter contacts by lifecycle stage (e.g., leads, opportunities). -------------------------- Step 2 - Search for buying signals via LinkedIn job posts - Node: HTTP Request (LinkedIn data provider) / Apify scraper - For each company from HubSpot: - - Search LinkedIn job listings for relevant keywords that match your offerings (e.g., “automation developer,” “CRM integration,” “AI specialist”). - - Collect data: job title, posting date, description, location, and job URL. - Mark companies that are actively hiring for related roles — these show potential intent to buy similar solutions. -------------------------- Step 3 - Analyze and match buying signals with CRM data - Node: Gemini (Text Analysis). - Input: HubSpot contact info, recent notes/conversations, and the detected job post. - Ask Gemini to identify how the job post suggests a buying signal and how it connects to your offerings. Suggested Gemini instruction:“Given this contact and their company’s recent job posting, explain in 2–3 lines why this indicates potential interest in our solutions and what opportunity it represents.” -------------------------- Step 4 - Draft hyper-personalized email - Node: Gemini (Text Generation). - Input: prospect details, buying signal summary, previous CRM notes, and your company’s offering. - Prompt Gemini to write a short, conversational, and personalized outreach email.