The Meta Ad Library is public. Every ad your competitor is running right now is visible. The problem is nobody has time to check it every day. This system does.
Your competitor launched a new ad last Tuesday that is crushing it. You will not find out for 6 weeks when your own campaign performance drops and you start investigating. By then they have already captured the audience and the CPM has spiked. Competitive intelligence in paid media is a speed game, and you are playing it manually.
What this replaces
This pipeline scrapes the Meta Ad Library for every competitor you specify, identifies which ads have been running the longest (the signal for profitability), extracts the hooks, CTAs, and visual patterns, and delivers a daily briefing to your Slack with specific recommendations for your own campaigns.
The Stack
Runs scheduled actors against the Meta Ad Library API to pull every active ad for your list of competitor pages. Extracts creative URLs, copy text, and launch dates.
Reads every scraped ad, identifies the hook pattern, the emotional angle, and the CTA structure, then compares it against your current campaigns to find gaps.
Compiles the analysis into a daily Slack report with actionable recommendations and optionally feeds winning patterns directly into your ad generation engine.
System Architecture
The longest running ad in a competitor account is almost always their most profitable. Meta charges more for underperforming ads, so anything running 30+ days has positive unit economics. That is the ad you should be studying and adapting, not their newest experiment.
Your competitor already tested the hook for you. Stop guessing and start studying.