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Clare Digital

Automation Resources

Automation Guide

How to Automate Meta Ad Reporting with n8n and GPT-4

Learn how to set up automated reporting for your Meta ad campaigns using n8n workflows and GPT-4 for intelligent summaries.

8 min read

Meta ad reporting doesn't have to be a manual chore. With n8n and GPT-4, you can create a workflow that automatically pulls your campaign data, analyzes performance, and sends beautiful reports to your team or clients.

What You'll Build

By the end of this guide, you'll have an automated system that:

  • Connects to Meta's Marketing API to pull campaign data
  • Uses GPT-4 to analyze performance and generate insights
  • Formats the data into clean, readable reports
  • Sends reports via email or Slack on your schedule

Prerequisites

Before we dive in, make sure you have:

  • An n8n instance (cloud or self-hosted)
  • Meta Business account with API access
  • OpenAI API key
  • Basic understanding of API workflows

Step 1: Setting Up Meta API Connection

First, we'll establish a connection to Meta's Marketing API to pull your ad data.

Getting Your Access Token

Navigate to the Meta Graph API Explorer and generate a User Access Token with the following permissions:

  • ads_read
  • business_management
  • ads_management

Pro tip: Store your access token securely in n8n's credential manager to avoid hardcoding sensitive information in your workflows.

Step 2: Building the n8n Workflow

Now let's build the workflow that will automate your reporting process.

Workflow Structure

Our workflow will consist of these main components:

  1. Trigger: Schedule node (daily/weekly)
  2. Data Pull: HTTP Request to Meta API
  3. Data Processing: Function node to clean data
  4. AI Analysis: OpenAI GPT-4 API call
  5. Report Generation: HTML/email formatting
  6. Delivery: Email or Slack notification

Step 3: Configuring the Data Pull

Set up an HTTP Request node to fetch your campaign data from Meta's API:

GET https://graph.facebook.com/v18.0/act_YOUR_AD_ACCOUNT_ID/insights
?fields=campaign_name,spend,impressions,clicks,ctr,cpc,cpp,cpm
&level=campaign
&time_range={"since":"2025-01-01","until":"2025-01-31"}
&access_token=YOUR_ACCESS_TOKEN

Step 4: Processing Data with GPT-4

Add an OpenAI node to analyze your campaign data and generate insights:

{
  "model": "gpt-4",
  "messages": [
    {
      "role": "system",
      "content": "You are a performance marketing analyst. Analyze the provided Meta ad campaign data and create a concise report with key insights, trends, and recommendations."
    },
    {
      "role": "user",
      "content": "Campaign Data: {{ JSON.stringify($json) }}"
    }
  ],
  "max_tokens": 1000
}

Step 5: Formatting and Delivery

Create a clean HTML email template that includes:

  • Executive summary from GPT-4
  • Key performance metrics table
  • Campaign performance charts (optional)
  • Action items and recommendations

Advanced Tips

Error Handling

Add error nodes to handle API rate limits and connection issues gracefully.

Data Validation

Include validation steps to ensure data quality before processing.

Custom Metrics

Calculate custom KPIs like ROAS, LTV, or conversion rates based on your business needs.

Conclusion

With this automated reporting system, you'll save hours each week while providing more consistent, insightful reports to your team or clients. The combination of n8n's workflow automation and GPT-4's analytical capabilities creates a powerful tool for performance marketing teams.

Ready to take your automation to the next level? Let's discuss how we can build custom workflows for your specific needs.

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