Pre-Ad Creative Testing with LaonGEN Fashion AI - GGPX Loose-Fit Knit
One of the key challenges for fashion brands before running ads is identifying which visuals are most likely to drive actual performance.
Traditional photo shoots are costly and time-consuming, making it difficult to experiment with multiple moods and contexts.
In this article, we highlight the case of the GGPX Loose-Fit Knit, using LaonGEN Fashion AI to generate pre-ad test cuts.
The process demonstrates how brands can evaluate conversion potential without a physical shoot, while gaining clear operational advantages in speed, cost, and scalability.
1) Objective & Context
We generated pre-ad “test cuts” with LaonGEN Fashion AI—without a studio shoot—and selected the most promising mood for conversion. We keep the information value of the original lookbook/editorial while optimizing scenes for ad contexts.
2) Task Definition
- Preserve silhouette/texture (brand consistency)
- Compare lifestyle scenes (café/street) vs. toned-down studio lighting
- Validate CTR, dwell time and add-to-cart via A/B/C sets
3) LaonGEN Workflow
- Garment onboarding (~1 hour)
- Generation (~2 minutes per cut) across multiple moods
- Ad formatting: thumbnails, copy overlays, price tags
- Metrics review: compare A/B/C and lock the best mood
LaonGEN minimizes garment distortion and varies only the mood for consistency.
4) Operational Gains
- Lead time: 20–30 alternative visuals in a day
- Cost: 80–90% lower than studio; reinvest in targeting and A/B tests
- Consistency & scalability across campaigns, product pages and social
5) Practical Notes
- High-CTR lookbook moods often transfer well to ads
- Repeat keywords (GGPX, loose-fit knit, LaonGEN, Fashion AI) in captions/alt text
- Keep at least three test sets (A/B/C) and log failures
For more cases and a free trial, visit the LaonGEN website.
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