AI Marketing Agent in n8n: Explain the performance drop When ad performance data updates
An n8n workflow that fires when ad performance data updates, 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 ad performance data updates
A
HTTP Request Triggerstarts the workflow the moment ad performance data updates. - 2
Hand it to the AI agent
An
AI Agentnode running OpenAI 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 sent to Google Docs — 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
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.
How do I import the workflow into n8n?
Download the JSON, then in n8n open a new workflow, choose ⋯ → Import from file, and select it. Every trigger, node and connection appears on the canvas; you just add your credentials and activate it.
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