What is the purpose of A/B testing in digital campaigns?

• A. To determine the cheaper option
• B. To compare two versions of a message or creative to determine which performs better
• C. To test landing page colors only
• D. To measure customer satisfaction after purchase

Answer: (B)

A/B testing is about comparing two versions of a message or creative to see which performs better under controlled conditions. You change one element, split your audience randomly, and measure a primary outcome such as click-through or conversion rate to determine which version wins with statistical confidence. This process helps optimize digital campaigns and make data-driven decisions rather than guessing. For example, you might test two email subject lines or two ad creatives to see which drives more engagement. The goal isn’t to find the cheaper option, nor to test colors in isolation, nor to measure satisfaction after purchase; it’s about isolating a variable and learning which version delivers better results.