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AI WhatsApp Lead Qualification Workflow (n8n + Gemini + Postgres)

AI WhatsApp Lead Qualification Workflow (n8n + Gemini + Postgres)

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AI WhatsApp Lead Qualification Workflow (n8n + Gemini + Postgres)

AI WhatsApp Lead Qualification Workflow (n8n + Gemini + Postgres)

Regular price £72.99
Regular price £72.99 Sale price
SAVE Sold out

Qualify real estate WhatsApp leads with AI—automatically score intent and notify your sales team

Turn inbound property enquiries into actionable opportunities. This AI WhatsApp Lead Qualification Workflow (n8n + Gemini + Postgres) captures leads from your form or CRM, runs an AI-powered WhatsApp qualification conversation, calculates buying intent and readiness, stores results in PostgreSQL, and alerts your sales team when the lead is ready for follow-up.

What this workflow does

  • Receive a Lead: Accept lead data via a webhook from a website form, Google Form, CRM, or another lead source.
  • Validate & Store: Validate and normalize lead details, then store them in PostgreSQL.
  • Start a WhatsApp Conversation: Send a WhatsApp template to begin qualification via WhatsApp Cloud API.
  • AI Qualification (Gemini): Use Google Gemini to converse with the prospect and collect key requirements such as property type, preferred location, budget, purchase purpose, and timeline.
  • Maintain Conversation Memory: Keep conversation history in PostgreSQL so the AI retains context across messages.
  • Lead Scoring: Once enough information is gathered, evaluate buying intent and factors including urgency, site-visit interest, budget, engagement, financial readiness, and decision-making authority.
  • Store & Notify: Save score, lead band, confidence, and recommended action in PostgreSQL, then notify your sales team for follow-up.

Use cases

  • Automatically qualify real estate leads generated from a website form or Google Form.
  • Reduce manual WhatsApp follow-up by letting Gemini ask the right questions and determine next steps.
  • Speed up lead management by sending sales alerts only after sufficient qualification details are collected.

Technical details

  • Nodes/tech: if, code, webhook, postgres, whats app, sticky note
  • AI: Google Gemini (qualification + lead scoring)
  • Storage & memory: PostgreSQL for lead records and conversation history
  • Messaging: WhatsApp Cloud API (template-based conversation start)

Setup required: connect WhatsApp Cloud API credentials, configure the WhatsApp sending/receiving number, create a Google Gemini API credential, and configure PostgreSQL.

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