A/B testing in advertising

A/B testing in advertising involves creating two versions of an advertisement—version A and version B—and showing each to different segments of your audience. By comparing how these groups respond, such as which version generates more clicks or sales, businesses can determine which ad is more effective. This process helps optimize advertising strategies by making data-driven decisions, ultimately improving campaigns’ performance and return on investment. It’s a systematic way to understand what resonates best with your target audience.