Overview
This workflow automates the process of classifying incoming leads by sentiment and responding via WhatsApp. It integrates Typeform for lead capture, Google Gemini for AI-driven sentiment analysis, and Supabase for structured data storage.
Key Features
- Lead Capture: Receives new leads through a Typeform webhook.
- AI Sentiment Analysis: Utilizes Google Gemini to classify leads as hot, neutral, or cold based on their responses.
- Automated Messaging: Sends personalized WhatsApp messages to leads according to their sentiment classification.
- Data Management: Stores categorized leads in Supabase databases for further sales or marketing actions.
- Process Coordination: Merges and prepares lead data for seamless automation.
Benefits
- Efficiency: Eliminates manual lead sorting and response, saving significant time.
- Personalization: Ensures each lead receives a relevant, timely WhatsApp message.
- Data-Driven: Enables targeted follow-up by storing sentiment-tagged leads for future campaigns.
- Scalability: Handles high lead volumes without additional manual effort.
Use Cases
- Sales teams seeking to prioritize hot leads for immediate follow-up.
- Marketing teams aiming to segment and nurture leads based on sentiment.
- Businesses wanting to automate lead engagement and improve conversion rates.
Integrations
- Typeform: For lead intake.
- Google Gemini: For AI-powered sentiment analysis.
- Supabase: For categorized lead storage.
- WhatsApp: For automated communication.
