A/B Testing (Split Testing)

Definition: A/B testing, also known as split testing, is a method used in marketing to compare two different versions of a webpage, popup, email, ad, or other digital asset to determine which performs better. In an A/B test, the audience is divided into two groups: one sees version A (the original) and the other sees version B (the variation). Performance metrics, such as click-through rates, conversion rates, or engagement levels, are tracked to evaluate which version achieves the desired outcome more effectively. This testing approach helps marketers make data-driven decisions to optimize their strategies, improve user experience, and increase ROI.

Example: In an email A/B test, a company might send one subject line (Version A) to half of its subscribers and a different subject line (Version B) to the other half. After analyzing which subject line had a higher open rate, the company can choose the more successful version for future campaigns.