Analyze Facebook Ads & Send Insights to Google Sheets with Gemini AI
VerifiedPulls Meta Ads data, analyzes it with Gemini AI, and logs insights to Google Sheets.
What this workflow does
This automation fetches ad metrics, processes them through Gemini AI for performance categorization and insight generation, then records structured outputs in both NocoDB and Google Sheets.
It is designed for media buyers and marketers who need automated analysis of ad campaigns without manual data review.
Who is this for?
Media buyers, performance marketers, and growth teams running Facebook/Meta ads who need faster analysis without manual spreadsheets.
What problem it solves
Manually pulling and interpreting Meta Ads data is slow and error-prone. This workflow automates data collection, AI analysis, and insight delivery to Google Sheets.
What it automates
Daily performance review
Automatically fetch yesterday's ad metrics, categorize creatives via Gemini, and log categorized insights into a shared Google Sheet for the team.
Creative testing cycle
Run the workflow after launching new ad sets to quickly see which creatives Gemini flags as high or low performers without manual tagging.
Weekly reporting prep
Trigger the flow every Monday to populate a Google Sheet with structured insights ready for stakeholder presentations.
How the workflow works
The 7 nodes in this automation, in order.
- 1Google SheetsgoogleSheets
- 2HTTP RequesthttpRequest
- 3NocoDBnocoDb
- 4Codecode
- 5Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
- 6Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
- 7Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Apps & integrations used
How to set up Analyze Facebook Ads & Send Insights to Google Sheets with Gemini AI
- 1Add Google Sheets and HTTP Request nodes to fetch Meta Ads data via API.
- 2Connect NocoDB node to store raw or intermediate ad records if needed.
- 3Insert Basic LLM Chain with Google Gemini Chat Model for analysis.
- 4Add Structured Output Parser after the LLM to format insights cleanly.
- 5Map parsed output fields to Google Sheets columns for logging.
- 6Set an appropriate trigger (schedule or manual) and test the full flow.
How to customize this workflow
- →Swap Google Gemini Chat Model for another supported LLM in the Basic LLM Chain.
- →Change the trigger from schedule to webhook for on-demand runs.
- →Add an extra Google Sheets node to write to a second reporting tab.
- →Extend the Structured Output Parser schema to capture additional creative tags.
Analyze Facebook Ads & Send Insights to Google Sheets with Gemini AI: pros & cons
Pros
- +Uses native n8n AI nodes for structured Gemini output
- +Directly writes to Google Sheets without extra tools
- +Combines HTTP data pull with LLM categorization in one flow
- +Part of a documented multi-part series for expansion
Cons
- –Requires existing Meta Ads API credentials and setup
- –NocoDB node may be unnecessary for simple Sheets-only use
- –Intermediate difficulty; beginners need to configure auth for each integration
Frequently asked questions
It pulls Facebook Ads data via HTTP, analyzes it with Gemini AI through Basic LLM Chain and Structured Output Parser, then writes categorized insights to Google Sheets.
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