A/B Testing: A/B testing, also known as split testing or bucket testing, is a marketing and optimization technique where two different versions of a web page, email, or any other marketing element are compared to determine which one performs better. This is accomplished by randomly assigning a portion of the audience to each version and analyzing metrics such as conversion rates, click-through rates, or engagement. A/B testing helps marketers and businesses make data-driven decisions to improve the effectiveness of their marketing efforts and user experience.