Automating Lead Scoring with n8n + AI

The Problem

Your sales team wastes hours qualifying leads manually. By the time they reach out, the prospect has gone cold.

The Solution: Automated Lead Scoring Pipeline

Typeform Webhook
  → n8n: Extract fields
  → Clearbit: Enrich company data
  → OpenAI: Score 1-100 + reasoning
  → IF score >= 70 → Slack #hot-leads
  → ELSE → Add to nurture sequence (Mailchimp)
  → Google Sheets: Log everything

Step 1 — Capture the Lead

Set up a Webhook node in n8n. Configure your Typeform to POST to this URL on every submission. Key fields to capture:

• Name, email, company
• Company size (dropdown)
• Budget range
• Use case description (free text)

Step 2 — Enrich with Clearbit

{
  "endpoint": "https://company.clearbit.com/v2/companies/find",
  "params": { "domain": "{{ $json.company_domain }}" }
}

This gives you industry, employee count, estimated revenue, and tech stack.

Step 3 — AI Scoring Prompt

You are a B2B lead scoring assistant. Given the following lead data,
return a JSON object: { "score": <1-100>, "reasoning": "<2 sentences>" }.

Scoring criteria:
- Company size 50-500 employees: +20
- SaaS / tech industry: +15
- Budget > $5k/month: +25
- Clear use case described: +20
- Role is decision-maker: +20

Step 4 — Route and Notify

Use a Switch node to branch:

Score Range	Action
70-100	Slack #hot-leads + assign in HubSpot
40-69	Add to Mailchimp nurture campaign
0-39	Log only, revisit monthly

Results

After deploying this pipeline, teams typically see a 3x faster response time to high-quality leads.

Read more about n8n for startups or dive into AI workflows with OpenAI.