Inbound Lead Qualification: scoring and routing website inquiries with n8n (no lead left behind)

Built with n8n
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Sharing another portfolio build — this one tackles a problem every service business knows: inquiries arrive, someone has to read each one, copy details into a tracker, judge the budget and timing, check if they’ve contacted you before, and reply. When that depends on inbox habits, follow-up gets inconsistent.

What the workflow does (11 nodes)

  1. A structured n8n form captures the inquiry: contact info, project details, service needed, budget range, timeline.
  2. Each inquiry gets a transparent score out of 100 — service fit (40 pts), budget (40 pts), timeline (20 pts).
  3. Priority is assigned by rule: 80+ = High, 60–79 = Medium, below 60 = Low. Requests for services outside the list go to Manual Review instead of being auto-scored.
  4. The workflow checks the tracker for the normalized email address. Returning contacts are flagged (without overwriting their earlier inquiries), so the team sees the full history.
  5. Every inquiry is recorded in Google Sheets (17 mapped fields). The submitter gets a confirmation email.
  6. Only High priority and Manual Review inquiries trigger an internal sales alert — with contact details, score, priority, and returning-contact status.

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Why I built it this way

  • The scoring is deliberately transparent and adjustable — a real agency should set the weights against its own sales process, not mine.
  • Low/Medium inquiries stay visible in the tracker; they just don’t page the sales team.
  • Returning-contact detection uses email matching, which is a practical heuristic, not identity verification.

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Honest scope
Tested portfolio demonstration with sample inquiries and controlled accounts — seven scenario types including returning contacts and blocked invalid emails. Not a live client deployment; no conversion or time-saving claims. The demo rules are illustrative, not an industry standard.

Full case study: Inbound Lead Qualification & Sales Alerts | Farzam Saadat
More of my n8n work: https://syedfarzamsaadat.com

If you’ve built lead scoring in n8n, I’d be curious how you weighted things — always interesting to compare approaches.

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