Analyzes your ad creatives — images and videos — to find patterns of success. Tells you what to produce more of, what to kill.
Book AI AuditPretty much every company running paid ads has the same creative problem.
You launch 20 different ad variants. Some crush it. Some flop. Marketing team looks at the winners, tries to figure out what made them work. "Maybe it was the color?" "Maybe the headline?" "Maybe Tuesday?"
Guesswork. Pattern recognition by humans staring at spreadsheets and thumbnails.
And look — even good marketers miss stuff. You might notice "red backgrounds work better" but miss that it's actually "red backgrounds + specific call-out text + certain facial expressions" that drive performance.
Result:
Wasted budget on creatives that don't work. Missed opportunities to scale what does. Slow iteration cycles.
The data's there. Just impossible for humans to process at scale.
Here's the thing — it's actually pretty systematic.
Agent pulls every ad creative from your Facebook and Google accounts. Images, videos, everything you've run.
For static images, agent analyzes:
Basically breaks down every element that could impact performance.
For video ads, agent goes deeper:
Now it can see what happens at second 3 when people drop off, or what element at second 8 drives clicks.
Agent pulls performance data for each creative:
Then correlates visual elements with performance. "Creatives with X element have 2.3x higher CTR." Not guesswork. Statistical correlation.
System identifies what actually works:
Agent outputs specific guidance:
"Last month, creatives with these traits performed best: [specific pattern]. Recommend producing more content with [elements]. Avoid [specific things that tanked]."
Not vague. Concrete direction for your creative team.
Creative team produces content based on gut feel and past experience. Hit rate is maybe 30% — 7 out of 10 creatives don't perform. Testing cycle is slow, feedback is qualitative.
One of our e-commerce clients was running video ads. Some worked great, some bombed. Couldn't figure out why — they all looked similar.
Agent analyzed 50+ video ads, broke down every scene. Found the pattern: videos that showed product in use within first 3 seconds had 4x higher conversion rate than videos that led with brand messaging.
Simple insight. Massive impact. Now every video starts with product demonstration. Conversion rate doubled.
Not magic. Just systematic analysis humans can't do at scale.
For the agent to work, we need:
As long as you're running paid ads with visual creatives and have performance data — we can build this.
Look, creative analysis agent isn't magic. It's pattern recognition at scale — something humans just can't do when you're looking at hundreds of ads.
Difference: agent sees every element, correlates with actual performance data, gives you concrete direction.
Let's look at your ad account. Maybe you're already nailing creative strategy. Maybe there are patterns you're missing that could 2x your performance. Either way — worth a conversation.
Book $300 AI Audit
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