n8n Lead Qualification Workflow: OpenAI + Supabase + Gmail

Qualify leads automatically in n8n—OpenAI + Supabase + Gmail

This n8n Lead Qualification Workflow captures form submissions, validates and stores them in Supabase, uses OpenAI to generate a structured requirements analysis, then assigns a deterministic HOT/WARM/LOW-FIT score and sends the right Gmail email to both the client and your internal team.

What this workflow does

• Receives a new lead from an n8n Form containing project, budget, timeline, and contact details.
• Normalizes and validates input: checks required fields, confirms a valid email, and ensures the project brief meets a minimum length.
• Requests clarification via Gmail when information is missing—compiles a list of issues and emails the client.
• Stores valid leads in Supabase by creating a new record in your leads table.
• Uses OpenAI for structured analysis: generates a summary, risk flags, missing information, and a recommended next step.
• Calculates a rule-based qualification score from lead data and AI outputs, then routes the lead as HOT, WARM, or LOW-FIT.
• Updates Supabase and emails stakeholders: sends the matching client email plus an internal notification through Gmail, and marks the lead status as contacted/sent.

Use cases

• SaaS and agency teams wanting to triage inbound requests from an n8n Form without manual review.
• Operators who need consistent lead qualification logic (HOT/WARM/LOW-FIT) tied to structured AI requirements analysis.
• Teams that want automatic follow-ups when briefs lack key details—before wasting sales cycles.

Technical details

• Integrations/credentials: Supabase, OpenAI, Gmail
• Workflow nodes: if, set, code, switch, gmail, supabase
• Data model: requires a leads table with fields such as full_name, email, company_name, industry, required_service, project_brief, budget_range, expected_timeline, phone_number, lead_status, plus AI/score fields used by the workflow.