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🧠 Google Ads Monthly Performance Optimization (Channable + Google Ads + Relevance AI)
🚀 Overview
This workflow automatically analyzes your Google Ads performance every month, identifies top-performing themes and categories, and regenerates optimized ad copy using Relevance AI — powered by insights from your Channable product feed.
It then saves the improved ads to Google Sheets for review and sends a detailed performance report to your Slack workspace.
Ideal for marketing teams who want to automate ad optimization at scale with zero manual intervention.
🔗 Integrations Used
- Google Ads → Fetch campaign and ad performance metrics using GAQL.
- Relevance AI → Analyze performance data and regenerate ad copy using AI agents and tools.
- Channable → Pull updated product feeds for ad refresh cycles.
- Google Sheets → Save optimized ad copy for review and documentation.
- Slack → Send a 30-day performance report to your marketing team.
🧩 Workflow Summary
| Step | Node | Description |
|---|---|---|
| 1 | Monthly Schedule Trigger | Runs automatically on the 1st of each month to review last 30 days of data. |
| 2 | Get Google Ads Performance Data | Fetches ad metrics via GAQL query (impressions, clicks, CTR, etc.). |
| 3 | Calculate Performance Metrics | Groups results by ad group and theme to find top/bottom performers. |
| 4 | AI Performance Analysis (Relevance AI) | Generates human-readable insights and improvement suggestions. |
| 5 | Update Knowledge Base (Relevance AI) | Saves new insights for future ad copy training. |
| 6 | Get Updated Product Feed (Channable) | Retrieves the latest catalog items for ad regeneration. |
| 7 | Split Into Batches | Splits the feed into groups of 50 to avoid API rate limits. |
| 8 | Regenerate Ad Copy with Insights (Relevance AI) | Rewrites ad copy with the latest product and performance data. |
| 9 | Save Optimized Ads to Sheets | Writes output to your “Optimized Ads” Google Sheet. |
| 10 | Generate Performance Report | Summarizes the AI analysis, CTR trends, and key insights. |
| 11 | Email Performance Report (Slack) | Sends report directly to your Slack channel/team. |
🧰 Requirements
Before running the workflow, make sure you have:
- A Google Ads account with API access and OAuth2 credentials.
- A Relevance AI project (with one Agent and one Tool setup).
- A Channable account with API key and project feed.
- A Google Sheets document for saving results.
- A Slack webhook URL for sending performance summaries.
⚙️ Environment Variables
Add these environment variables to your n8n instance (via .env or UI):
| Variable | Description |
|---|---|
GOOGLE_ADS_API_VERSION |
API version (e.g., v17). |
GOOGLE_ADS_CUSTOMER_ID |
Your Google Ads customer ID. |
RELEVANCE_AI_API_URL |
Base Relevance AI API URL (e.g., https://api.relevanceai.com/v1). |
RELEVANCE_AGENT_PERFORMANCE_ID |
ID of your Relevance AI Agent for performance analysis. |
RELEVANCE_KNOWLEDGE_SOURCE_ID |
Knowledge base or dataset ID used to store insights. |
RELEVANCE_TOOL_AD_COPY_ID |
Relevance AI tool ID for generating ad copy. |
CHANNABLE_API_URL |
Channable API endpoint (e.g., https://api.channable.com/v1). |
CHANNABLE_COMPANY_ID |
Your Channable company ID. |
CHANNABLE_PROJECT_ID |
Your Channable project ID. |
FEED_ID |
The feed ID for product data. |
GOOGLE_SHEET_ID |
ID of your Google Sheet to store optimized ads. |
SLACK_WEBHOOK_URL |
Slack Incoming Webhook URL for sending reports. |
🔐 Credentials Setup in n8n
| Credential | Type | Usage |
|---|---|---|
| Google Ads OAuth2 API | OAuth2 | Authenticates your Ads API queries. |
| HTTP Header Auth (Relevance AI & Channable) | Header | Uses your API key as Authorization: Bearer <key>. |
| Google Sheets OAuth2 API | OAuth2 | Writes optimized ads to Sheets. |
| Slack Webhook | Webhook | Sends monthly reports to your team channel. |
🧠 Example AI Insight Output
{
"insights": [
"Ad groups using 'vegan' and 'organic' messaging achieved +23% CTR.",
"'Budget' keyword ads underperformed (-15% CTR).",
"Campaigns featuring 'new' or 'bestseller' tags showed higher conversion rates."
],
"recommendations": [
"Increase ad spend for top-performing 'vegan' and 'premium' categories.",
"Revise copy for 'budget' and 'sale' ads with low CTR."
]
}
📊 Output Example (Google Sheet)
| Product | Category | Old Headline | New Headline | CTR Change | Theme |
|---|---|---|---|---|---|
| Organic Protein Bar | Snacks | “Healthy Energy Anytime” | “Organic Protein Bar — 100% Natural Fuel” | +12% | Organic |
| Eco Face Cream | Skincare | “Gentle Hydration” | “Vegan Face Cream — Clean, Natural Moisture” | +17% | Vegan |
📤 Automation Flow
- Run Automatically on the first of every month (
cron: 0 0 1 * *). - Fetch Ads Data → Analyze & Learn → Generate New Ads → Save & Notify.
- Every iteration updates the AI’s knowledge base — improving your campaigns progressively.
⚡ Scalability
- The flow is batch-optimized (50 items per request).
- Works for large ad accounts with up to 10,000 ad records.
- AI analysis & regeneration steps are asynchronous-safe (timeouts extended).
- Perfect for agencies managing multiple ad accounts — simply duplicate and update the environment variables per client.
🧩 Best Use Cases
- Monthly ad creative optimization for eCommerce stores.
- Marketing automation for Google Ads campaign scaling.
- Continuous learning ad systems powered by Relevance AI insights.
- Agencies automating ad copy refresh cycles across clients.
💬 Slack Report Example
# 30-Day Performance Optimization Report
Date: 2025-10-01
Analysis Period: Last 30 days
Ads Analyzed: 842
Top Performing Themes
1. Vegan: 5.2% CTR (34 ads)
2. Premium: 4.9% CTR (28 ads)
Underperforming Themes
1. Budget: 1.8% CTR (12 ads)
AI Insights
“Vegan” and “Premium” themes outperform baseline by +22% CTR.
“Budget” ads underperform due to lack of value framing.
Next Optimization Cycle: 2025-11-01
🛠️ Maintenance Tips
- Update your GAQL query occasionally to include new metrics or segments.
- Refresh Relevance AI tokens every 90 days (if required).
- Review generated ads in Google Sheets before pushing them live.
- Test webhook and OAuth connections after major n8n updates.
🧩 Import Instructions
- Open n8n → Workflows → Import from File / JSON.
- Paste this workflow JSON or upload it.
- Add all required environment variables and credentials.
- Execute the first run manually to validate connections.
- Once verified, enable scheduling for automatic monthly runs.
🧾 Credits
Developed for AI-driven marketing teams leveraging Google Ads, Channable, and Relevance AI to achieve continuous ad improvement — fully automated via n8n.