📊 Google Ads + OpenAI + Sheets — Monthly AI Performance Analysis

Automate monthly ad performance insights with AI-powered recommendations

🧩 Overview

This workflow automatically analyzes Google Ads performance every month, using the Google Ads API and OpenAI (GPT-4o) to uncover which ad themes, categories, and messages perform best.
It then generates a structured AI report, saves it to Google Sheets, and sends a Slack summary to your marketing team.

💡 Perfect for digital marketers, agencies, and growth analysts who want automated campaign insights without manually crunching numbers.

⚙️ Features

✅ Automatically runs on the 1st of each month
✅ Fetches last 30 days of ad performance via Google Ads API (GAQL)
✅ Uses GPT-4o for natural-language insights & improvement ideas
✅ Groups ads by category and theme (e.g., “Free Shipping,” “Premium”)
✅ Generates a clean, formatted markdown report
✅ Archives reports in Google Sheets for trend tracking
✅ Notifies your Slack channel with AI-driven recommendations

🧠 Architecture

🧭 Workflow Logic (Summary)

Monthly Trigger (1st of Month)
⬇️
1️⃣ Get Performance Data (Google Ads API)
Fetches 30-day CTR, clicks, impressions for all responsive search ads.
⬇️
2️⃣ Prepare Performance Data
Groups data by ad group and theme keywords, builds an AI prompt.
⬇️
3️⃣ AI Agent (LangChain) + GPT-4o
Analyzes patterns and generates actionable insights.
⬇️
4️⃣ Generate Report (Code)
Formats a Markdown report with AI recommendations and KPIs.
⬇️
5️⃣ Save to Google Sheets
Archives results for long-term analytics.
⬇️
6️⃣ Send Report to Slack
Delivers the summary directly to your marketing channel.

🔑 Environment Variables

🔐 Credential Setup

🧱 Node-by-Node Breakdown

🧠 AI Report Example

# 30-Day Performance Analysis Report

## Executive Summary
Analyzed: 940 ads
Period: Last 30 days

## Top Performing Categories
- Running Shoes: 9.4% CTR (120 ads)
- Fitness Apparel: 8.2% CTR (90 ads)

## Top Performing Themes
- "Free Shipping" messaging: 9.8% CTR (58 ads)
- "Premium" messaging: 8.5% CTR (44 ads)

## AI-Powered Recommendations
1. [HIGH] Emphasize “Free Shipping” across more ad groups.  
   Expected Impact: +5 % CTR  
2. [MEDIUM] Test “Premium Quality” vs. “New Arrivals.”  
   Expected Impact: +3 % CTR  

## Next Steps
1. Implement new ad variations  
2. A/B test messaging  
3. Re-analyze next month

🧩 Testing Procedure

1️⃣ Temporarily disable the cron trigger.
2️⃣ Run the workflow manually.
3️⃣ Confirm:

• Google Ads node returns JSON with results.
• AI Agent output is valid JSON.
• Report is written to Sheets.
• Slack message received.

4️⃣ Re-enable the monthly trigger once verified.

🧾 Output in Google Sheets

🪜 Maintenance

⚙️ API Verification

Endpoint:
POST https://googleads.googleapis.com/v17/customers/{customer_id}/googleAds:search

Scopes:
https://www.googleapis.com/auth/adwords

GAQL Query:

SELECT ad_group_ad.ad.id,
       ad_group_ad.ad.responsive_search_ad.headlines,
       ad_group.name,
       metrics.impressions,
       metrics.clicks,
       metrics.ctr
FROM ad_group_ad
WHERE segments.date DURING LAST_30_DAYS
  AND metrics.impressions > 100
ORDER BY metrics.clicks DESC
LIMIT 1000

✅ Fully valid query — verified for GAQL syntax, fields, and resource joins.
✅ OAuth2 flow handled by n8n’s googleAdsOAuth2Api.
✅ Optional: add "timeout": 60000 for large accounts.

📈 Metrics of Success

🔗 References

• Google Ads API Docs
• LangChain in n8n
• OpenAI API Reference
• Google Sheets API
• Slack Incoming Webhooks

🎯 Conclusion

You now have a fully automated Google Ads performance analysis workflow powered by:

• Google Ads API for granular metrics
• OpenAI GPT-4o for intelligent recommendations
• Google Sheets for archiving
• Slack for team-wide updates

💡 Result: A recurring, data-driven optimization loop that improves ad performance every month — with zero manual effort.