🎣 Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase
⚡ 1,440 views · 🎣 Lead Generation & Enrichment
Description
Automatically classify incoming leads based on the sentiment of their message using Google Gemini, store them in Supabase by category, and send tailored WhatsApp messages via the official WhatsApp Cloud API.
✅ Use Case: This workflow is ideal for sales, onboarding, and customer support teams who want to:
Understand the tone and urgency of each lead
Prioritize hot leads instantly
Send smart, automatic WhatsApp replies based on user sentiment
🧠 How it works: Capture lead via a Typeform webhook
Clean and structure the data (name, email, message, etc.)
Run sentiment analysis using Google Gemini to classify the message as:
Positive → Hot Lead
Neutral → Warm Lead
Negative → Cold Lead
Store lead data in Supabase under the corresponding category
Merge data to unify flow paths
Send WhatsApp message using the official WhatsApp Cloud API, with a custom reply for each sentiment result
🔧 Tools used: Typeform (incoming data)
Google Gemini (AI-based sentiment classification)
Supabase (database)
WhatsApp Cloud API (response automation)
🏷 Tags: AI, Sentiment Analysis, Lead Qualification, Supabase, WhatsApp, Gemini, Typeform, CRM, Automation, Customer Engagement
🔗 Nodes Used
Webhook, Supabase, WhatsApp Business Cloud, Google Gemini Chat Model, Sentiment Analysis
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File