How can A/B test variations be defined in Braze?

Defining A/B test variations in Braze involves creating multiple versions of a campaign and measuring their performance against one another. This method allows marketers to experiment with different elements, such as messaging, visuals, or call-to-action buttons, to determine which variation resonates best with users. By analyzing response rates, engagement metrics, and other performance indicators, marketers can gain insights into which version is more effective, enabling data-driven decisions for future campaigns.

Other options, like comparing user demographics, do not directly facilitate the definition of test variations. Tracking app load times or analyzing historical campaign data may provide insights into user experience or past performance but do not specifically address the process of creating and evaluating different campaign versions in an A/B testing framework.