AI Marketing Agent in n8n: Explain the performance drop When a new landing page is published
An n8n workflow that fires when a new landing page is published, then an AI agent reads the numbers and explains what changed and why — giving you plain-English answers on what your ads did. No code: import the JSON, connect your apps, and it runs 24/7.
- 1
Trigger when a new landing page is published
A
RSS Triggerstarts the workflow the moment a new landing page is published. - 2
Hand it to the AI agent
An
AI Agentnode running Claude reads the numbers and explains what changed and why. The prompt is pre-written and scoped to this one job so results stay consistent. - 3
Deliver the analysis
The result is saved to Google Sheets — ready for a human to approve.
- 4
Add a safety net (optional)
Insert an
IF/human-approval step before anything is published or emailed, so you stay in control until you trust the output.
Frequently asked questions
How much does the AI part cost to run?
Pennies. Each run sends a small amount of text to the model, so most teams spend a few dollars a month even at hundreds of runs. You set the model and can cap volume in n8n, so costs never surprise you.
Can I trust the AI to get the analysis right?
The prompt is tightly scoped to one job and you can add a human-approval step in n8n before anything is sent or published. Start with review-mode for a week, and once you trust the output, switch it to fully automatic.
Does this need n8n Cloud or can I self-host?
Either works. The workflow is a standard n8n export, so you can run it on n8n Cloud or on your own self-hosted instance — you only connect your own app credentials.
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One-tap support is being set up — check back soon. 💚
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