Built an Influencer Campaign Intake & Scoring System 🎯

Most influencer managers are doing this manually — reading every pitch, checking follower counts, writing back one by one. I automated the entire process.

Here's the architecture:

Webhook receives the creator's submission → Edit Fields maps the data → JavaScript scoring engine evaluates across 5 variables → Switch routes to the correct tier → Slack notifies the team → AI Agent writes a personalized email → Gmail sends it.

The scoring logic:

🥇 Platinum — 80+ points → warm campaign proposal sent instantly

🥈 Gold — 60-79 → qualification email with 2 audience questions

🥉 Silver — 40-59 → polite holding response

❌ Rejected — below 40 → clean decline, zero human involvement

The technical decision I'm most proud of:

A creator with 900K followers but 0.4% engagement scores lower than someone with 80K and 4.5%. Ghost followers don't convert. The scoring logic reflects real business value, not vanity metrics.

One thing I learned building this:

Shared Gemini + Structured Output Parser sub-nodes can serve multiple AI Agents simultaneously in n8n. One parser, four agents. Cleaner canvas, same output quality.

Happy to share the JSON if anyone wants to dig into the scoring logic. Just comment JSON. I will send it to your DM's

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