Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 ...

Best for

Lead Generation automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.webhook, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.sentimentanalysis, n8n-nodes-base.supabase, n8n-nodes-base.merge, n8n-nodes-base.whatsapp, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Danielle Gomes.

Original n8n.io source

1.1 Workflow description

Title: Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase
Workflow name: Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase

✅ 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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 2 - Receive New Lead (Typeform)

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 3 - Prepare Lead Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 4 - Classify Sentiment (Gemini or other ai model)

Type / Role: @n8n/n8n-nodes-langchain.sentimentAnalysis - sentimentAnalysis
Config choices: Version 1

Block 5 - Store Hot Lead

Type / Role: n8n-nodes-base.supabase - supabase
Config choices: Version 1

Block 6 - Store Neutral Lead

Type / Role: n8n-nodes-base.supabase - supabase
Config choices: Version 1

Block 7 - Store Cold Lead

Type / Role: n8n-nodes-base.supabase - supabase
Config choices: Version 1

Block 8 - Combine Lead Data

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 9 - Send WhatsApp Message

Type / Role: n8n-nodes-base.whatsApp - whatsApp
Config choices: Version 1

Block 10 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase
Complexity	intermediate
Nodes	11
Categories	Lead Generation, AI Summarization
Author	Danielle Gomes
Published	22 May 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4322/4322.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Lead Generation workflows AI Summarization workflows

Frequently asked questions

What does Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.

Danielle Gomes

3 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.webhook n8n-nodes-base.set @n8n/n8n-nodes-langchain.sentimentanalysis n8n-nodes-base.supabase n8n-nodes-base.merge n8n-nodes-base.whatsapp n8n-nodes-base.stickynote

Complexity

intermediate

Published 22 May 2025

Likes 0

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Install path: /data/workflows/4322/4322.json

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Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Block 2 - Receive New Lead (Typeform)

Block 3 - Prepare Lead Data

Block 4 - Classify Sentiment (Gemini or other ai model)

Block 5 - Store Hot Lead

Block 6 - Store Neutral Lead

Block 7 - Store Cold Lead

Block 8 - Combine Lead Data

Block 9 - Send WhatsApp Message

Block 10 - Sticky Note

Block 11 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions