A/B Testing
A/B Testing is a method of comparing two versions of a webpage or image to see which performs better. At JU Productions, we have been applying this approach to visual content for fashion, beauty, and e-commerce to optimize angles, lighting, backgrounds, and compositions based on measurable results.
Used to guide creative decisions and media deliverables for Asia-based brands. Metrics such as CTR, conversion rate, and user engagement inform decisions. This practice supports data-driven content strategies.
Pro Tip
Start with a clear hypothesis and ensure a statistically significant sample size before deciding a winner. Favor practical significance over minor numeric wins.
Use Cases
Test different product angles, backdrops, and lighting in shoots to identify which visuals perform best. Compare thumbnail options for ecommerce listings or social content to optimize click-through and conversions.
