A/B Testing Ads

These two examples highlight a small selection of A/B testing variations I designed to understand how different visual and messaging styles perform. Each version tests only one key variable, such as layout, color scheme, or headline, while keeping other elements consistent to isolate what drives engagement.

I collaborated closely with the marketing team to define clear hypotheses and campaign goals, then monitored performance metrics over a 4–7 day period to evaluate statistical significance. This approach helps refine future ads based on real audience insights and ensures every iteration is purposeful and data-driven.