What You’ll Learn
- How to collect marketing data automatically
- How to summarize campaign performance with AI
- How to generate weekly reports
- How to send insights to your team
Step-by-Step Workflow
Step 1: Choose Your Data Sources
Start with the platforms where your campaign data lives. Common sources include Google Analytics, Google Ads, Meta Ads, email marketing tools, and CRM systems.
Step 2: Send Data to a Spreadsheet
Use automation tools to collect campaign metrics in Google Sheets or Airtable.
- Impressions
- Clicks
- Cost
- Conversions
- Revenue
Step 3: Analyze Results with AI
Use AI to compare performance across campaigns and identify what changed since the last report.
Step 4: Generate a Summary Report
Create a short report that explains the most important wins, problems, and next actions.
Step 5: Send the Report Automatically
Send the finished report to Slack, email, Notion, or your project management tool every week.
Tools Used
- Google Analytics — Website traffic data
- Google Ads — Paid campaign metrics
- Meta Ads — Social ad performance
- Google Sheets — Data storage
- ChatGPT — Performance summaries
- Zapier or Make — Automation
Workflow Overview
Marketing Platforms → Spreadsheet → AI Analysis → Report Summary → Team Notification
Tips & Best Practices
- Track only the metrics that matter
- Compare results against the previous period
- Ask AI to explain changes in plain English
- Include recommended next actions
- Review data accuracy before automating decisions
FAQ
Can AI find campaign problems automatically?
Yes, AI can flag unusual changes such as rising cost per lead, falling conversion rate, or weak ad engagement.
Do I need a data warehouse?
No. For small teams, a spreadsheet is enough to start. You can move to a larger analytics setup later.
Conclusion
Automated campaign reporting saves time and helps marketing teams act faster. With AI, your weekly report can move from raw numbers to clear insights and next steps.