Classify Lead Sentiment with Google Gemini & WhatsApp via Typeform/Supabase
Automates lead classification by message sentiment using Google Gemini, stores in Supabase by category, and sends tailored WhatsApp responses via official API.
This workflow captures incoming leads from Typeform webhooks, cleans and structures data like name, email, and message. It then uses Google Gemini for AI-powered sentiment analysis, classifying messages as Positive (Hot Lead), Neutral (Warm Lead), or Negative (Cold Lead). Leads are stored in Supabase under corresponding categories, data paths are merged for unified processing, and custom WhatsApp messages are sent via the official Cloud API.
Benefits include instant prioritization of hot leads, personalized engagement boosting conversion rates, and reduced manual review time for sales/support teams. It handles tone and urgency detection automatically, ensuring timely, context-aware replies that enhance customer experience.
Ideal for sales onboarding, CRM automation, and customer support in high-volume lead environments. Tags: AI, Sentiment Analysis, Lead Qualification, Supabase, WhatsApp, Gemini, Typeform.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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