Build Ad Intelligence Agent with Apify, n8n, Supabase
Summary
This post describes how to build an ad intelligence agent that analyzes Facebook Ad Library ads. The agent ranks ads by runtime and reach, then drafts new ad copy based on the top performers, eliminating guesswork in advertising.
Why it matters
Marketing professionals can leverage this approach to gain data-driven insights into competitor ad strategies, optimize their own campaigns, and improve ad performance without manual guesswork.
How to implement this in your domain
- 1Set up accounts for Apify, n8n, and Supabase.
- 2Configure Apify to scrape relevant data from the Facebook Ad Library.
- 3Design an n8n workflow to process the scraped data, rank ads, and trigger AI for copy generation.
- 4Store and manage ad data and generated copy in Supabase.
- 5Integrate the generated ad copy into your advertising platform for A/B testing and deployment.
Who benefits
Key takeaways
- An ad intelligence agent can automate competitor ad analysis.
- Tools like Apify, n8n, and Supabase can be combined for this.
- The agent ranks ads by performance and generates new copy.
- This reduces guesswork and improves ad campaign effectiveness.
Original post by Egop Gogo-Job
"Stop guessing which ads work. Build an ad intelligence agent that ranks Facebook Ad Library ads by run time and reach, then drafts copy from the winners."
View on XOriginally posted by Egop Gogo-Job on X · view source
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