🎣 Automate real estate lead matching with Jotform, & Gemini AI to Zoho CRM
⚡ 960 views · 🎣 Lead Generation & Enrichment
💡 Pro Tip — For lead enrichment, ScraperNode can pull LinkedIn profiles, company data, and job listings directly into your pipeline — useful for building prospect lists without manual research.
Description
🧩 What Problem Does It Solve?
In real estate, inquiries come from many sources and often require immediate, personalized attention. Brokers waste significant time manually:
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Qualifying leads: Determining if a prospect’s budget, neighborhood, and needs match available inventory.
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Searching listings: Cross-referencing customer criteria against a large, static database.
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Data entry: Moving contact details and search summaries into a CRM like Zoho.
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Initial follow-up: Sending an email to confirm the submission and schedule the next step.
🛠️ How to Configure It
Jotform & CRM Setup
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Jotform Trigger: Replace the placeholder with your specific Jotform ID.
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Zoho CRM: Replace the placeholder TEMPLATED_COMPANY_NAME with your actual company name.
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Gmail: Replace the placeholder Calendly link YOUR_CALENDLY_LINK in the Send a message node with your real estate consultant’s booking link.
Database & AI Setup
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Google Sheets: Replace YOUR_GOOGLE_SHEET_DOCUMENT_ID and YOUR_SHEET_GID_OR_NAME in both Google Sheets nodes. Your listings must be structured with columns matching the AI prompt (e.g., bedrooms, rent, neighborhoods).
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AI Models: Ensure your Google Gemini API key is linked to the Google Gemini Chat Model node.
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AI Agent Prompt: The included prompt contains the exact matching and scoring rules for the AI. You can edit this prompt to refine how the AI prioritizes factors like supplier_rating or neighborhood proximity.
🧠 Use Case Examples
- Small Startups: Collect High-Quality Leads: New inquiries must be quickly logged for sales follow-up, but manual entry is slow.
- B2B Sales: High-Value Lead Enrichment: Need to prioritize leads that match specific product requirements and budget tiers.
- Travel/Hospitality: Personalized Itinerary Matching: Quickly match customer preferences (e.g., dates, group size, activity level) to available packages.
- E-commerce: Manual Product Recommendation: Sales teams manually recommend expensive, configurable items (e.g., furniture, specialized equipment).
If you need any help Get in Touch
🔗 Nodes Used
Jotform Trigger, Zoho CRM, Gmail, AI Agent, Structured Output Parser, Google Gemini Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File