This n8n workflow streamlines the process of qualifying and responding to new leads using AI sentiment analysis and automated messaging. When a lead submits information via a Typeform webhook, their message is extracted and analyzed for sentiment using Google Gemini. Based on whether the lead’s message is positive, neutral, or negative, the workflow classifies the lead into ‘hot’, ‘neutral’, or ‘cold’ categories and stores this data in Supabase. Additionally, a personalized WhatsApp message is sent to the lead to acknowledge receipt or provide feedback. This automation is ideal for sales teams, onboarding processes, and support systems that want to efficiently prioritize and engage with leads based on their sentiment and urgency.
Automated Lead Qualification and Response Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.sentimentAnalysis, merge, set, stickyNote, supabase, webhook, whatsApp |
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