True or false: A/B testing allows you to test two or more elements on the site to understand their effects on each other
An A/B test, sometimes called an A/B/n test, is a randomized experiment using two or more variants of the same web page (A and B). Variant A is the original. Variants B through n each contain one or more elements that are modified from the original. For example, a different colored call-to-action button. In some experiments, variant B may be a completely different version of a web page.
Each variant is served at similar times so that its performance can be observed and measured independent of other external factors. You can also limit your experiment to a specific audience using the targeting feature. Optimize captures the performance data for each variant against an objective and identifies the leader.