moat8
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Marketing & Advertising · Creative Intelligence

Same banner, 300% conversion variance. The system now explains why — before launch.

Visually similar creatives were producing wildly different results. moat8 built a deep visual analysis system that maps creative elements to ROMI and converts top performers into reusable production blueprints.

Post-spend analysis
Pre-launch scoringWhen patterns are found
8h production
3hCreative turnaround
Testing budget
−15%Monthly savings (~$5K)
The Problem

Banners differing by 10% in detail were producing 300% variance in conversion.

The performance marketing team was running A/B tests to learn what worked — but the learning came after the spend. Creatives that looked nearly identical were producing conversion rates that varied by up to 300%. The patterns were invisible to the human eye and only emerged after thousands of dollars in test budget. There was no way to predict winners before launch.

Up to 300%Conversion variance between similar creatives
Post-spendWhen winning patterns were identified
8 hoursAverage creative production time
What we built

Deep visual analysis that reads what the human eye misses.

Creative corpus ingestion

Historical ad library loaded with performance data — impressions, CTR, ROMI per creative

Visual feature extraction

AI decomposes each creative into granular elements: color zones, text placement, focal point, contrast ratios, compositional structure

ROMI correlation mapping

Statistical model finds which visual features consistently correlate with high-conversion outcomes

Pattern library generation

Top-performing feature combinations described in structured format — usable as creative briefs or generation prompts

Pre-launch scoring

New creatives scored against the model before any spend — ranked by predicted performance

Brief-to-output loop

Designers and AI generation tools receive scored briefs — production time drops because direction is clear from the start

Results

The numbers after the breakthrough

8 hours
3hCreative production time
post-spend
Pre-launchWhen winners are identified
test budget
−15%Monthly testing cost reduction
guesswork
+5ppCampaign success rate improvement
Next step

If you want AI that works after the trend fades, let's talk