n8n Webhook Lead Scoring with Groq Chat Completions

Instant Lead Scoring via n8n Webhook + Groq Chat Completions

Turn inbound leads into actionable sales signals automatically. This n8n webhook workflow receives lead details, uses Groq’s OpenAI-compatible Chat Completions API to score and qualify the lead, and returns a clean structured JSON response with score, tier, qualification status, recommended next action, and reasons.

What this workflow does

• Receives lead data through a POST request on the /ai-lead-qualification webhook, using fields from the request body (e.g., name, email, company, role, budget, need, source, message).
• Builds a scoring prompt asking Groq to evaluate the lead from 0–100 across factors like budget, authority, fit, urgency, and detail.
• Calls Groq Chat Completions using the openai/gpt-oss-120b model and requests a JSON-formatted response.
• Parses and normalizes results, applying defaults if any fields are missing, and maps the output to a consistent schema: score, tier, qualified, recommended_action, and reasons.
• Returns the qualification result as the webhook response payload to the original requester.

Use cases

• Qualify leads from a landing form or CRM by calling the /ai-lead-qualification endpoint in real time.
• Route high-fit leads to sales outreach while deprioritizing low-fit inquiries—based on AI lead scoring tiers and reasons.
• Generate consistent lead qualification outputs to drive downstream n8n workflows (follow-ups, routing, or notifications).

Technical details

• Webhook trigger: listens for POST /ai-lead-qualification
• HTTP Request: calls https://api.groq.com/openai/v1/chat/completions using Groq API key authentication via HTTP Header credentials
• Nodes used: code, webhook, sticky note, http request, respond to webhook
• Model: openai/gpt-oss-120b

Note: For best scoring accuracy, ensure your webhook payload includes the expected lead fields (like budget, need, and message).