In A/B Testing, what does the method compare?

In A/B Testing, the method specifically involves comparing a control sample against other versions. This process is designed to evaluate different variations of a single element, such as an email subject line, landing page layout, or call-to-action. The control sample represents the original version, while the alternative versions contain changes that can affect user behavior or responses.

By measuring the performance of these variations against the control, marketers can better understand which version yields the best results in terms of metrics like click-through rates, conversion rates, or engagement. This approach allows for data-driven decision-making, enabling marketers to implement strategies that are proven to be effective based on empirical evidence.

The other options do not accurately describe the focus of A/B Testing. For example, comparing different channels or user roles does not fit within the premise of testing variations of a single element to see which performs better. Similarly, testing various campaign budgets does not align with the A/B Testing methodology, which is targeted at understanding the impact of specific changes rather than financial aspects.