Build ad variants, scrape rivals, and dashboard GA4
They wired Claude into Sheets for fast ad drafts, pulled rival ads with Apify, and had Cursor make GA4 dashboards.
- What they did
- A commenter set up Google Apps Script to call the Claude API from a spreadsheet, letting them turn one brief into 10 ad-copy variants in roughly half a minute. For competitor research, they ran Meta Ad Library scraping through Apify. They also leaned on Cursor to produce custom GA4 dashboards, first for personal use and later for client work.
- How it went
- They said these were the only AI tools that reliably saved time in paid media. The main payoff was speed; in their view, many other tools either did the same job as Sheets or created extra steps.
- Tips
- Use agents for small, well-bounded tasks that fit the tools you already use. If the workflow includes sending, posting, or deleting, have the agent wait for your approval first.
Try it yourself with Claude
I work on [paid media / ads / reporting] and want to keep this inside my current stack. Help me build a Google Apps Script that sends a brief from [Google Sheets] to the Claude API and writes back [number] ad-copy options per row for [platform], staying within [character limit]. Then help me pull competitor ads from [Meta Ad Library] with [Apify] and outline a simple GA4 dashboard for [metrics]. Pause before any send, publish, delete, or submit step and ask me to approve the final action. Stop when I can test one sample row and see the draft output plus a dashboard mockup.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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