AI-Powered Lead Sentiment Qualifier
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Instantly qualify incoming leads by analyzing their sentiment using Google Gemini. Automate lead categorization, storage, and personalized WhatsApp responses.
About This Workflow
The Lead Sentiment Qualifier is an intelligent automation designed to revolutionize your lead management process. By seamlessly integrating with Typeform, it captures new leads and leverages the power of Google Gemini's AI to analyze the sentiment of their messages. This workflow automatically classifies leads into 'hot', 'neutral', or 'cold' categories, storing them in Supabase for easy access. To ensure prompt engagement, it also triggers a personalized WhatsApp message back to the lead, acknowledging their inquiry and setting expectations. This ensures no lead is left unaddressed, allowing your sales team to prioritize their efforts effectively.
Key Features
- Real-time Lead Ingestion: Connects to Typeform via webhook for instant lead capture.
- AI-Powered Sentiment Analysis: Utilizes Google Gemini to accurately classify lead sentiment (Positive, Neutral, Negative).
- Automated Lead Categorization: Sorts leads into 'Hot', 'Neutral', and 'Cold' based on sentiment.
- Data Storage: Securely stores lead data in Supabase for organized management.
- Personalized WhatsApp Engagement: Sends automated, custom WhatsApp messages for immediate follow-up.
How To Use
- Set up Typeform Webhook: Configure your Typeform to send data to the provided n8n webhook URL (
lead-webhook). - Configure Google Gemini: Ensure your Google Gemini API credentials are set up within n8n.
- Define Input Fields: In the 'Prepare Lead Data' node, ensure the correct fields from your Typeform are mapped to be passed to the sentiment analysis.
- Customize Sentiment Analysis Prompt: Adjust the prompt within the 'Classify Sentiment' node to fine-tune how Gemini interprets messages (e.g., modify
{{$json["message"]}}). - Configure Supabase Credentials: Enter your Supabase API connection details in each of the 'Store Hot Lead', 'Store Neutral Lead', and 'Store Cold Lead' nodes.
- Set up WhatsApp Integration: Provide your WhatsApp Cloud API credentials and configure the message content in the 'Send WhatsApp Message' node, utilizing the combined lead data.
Apps Used
Workflow JSON
{
"id": "0dffa99e-5f84-4e18-9313-6ef5aff73916",
"name": "AI-Powered Lead Sentiment Qualifier",
"nodes": 5,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 0dffa99e-5f84...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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