An A/B test allows social media users or advertisers to run comparison tests between identical advertisements except for a minute difference. A/B testing allows advertisers or content creators to test the performance of a campaign. By changing a single element, such as a headline or image, at a time, one can run analytics to determine which advertisement, A or B, performs best. During an A/B test, just a small population of followers are exposed to the test allowing users to assess performance before releasing content to an entire following.