AB Testing Methods | Give Presence

AB testing methods, also known as bucket testing or split testing, are a cornerstone of user-experience research, allowing organizations to compare multiple versions of a variable and determine which one is more effective. By applying statistical hypothesis testing, AB testing enables data-driven decision making, reducing the risk of launching new products or features that may not resonate with users. AB testing methods have a rich history, dating back to the early 20th century. The concept of AB testing gained popularity in the 1990s with the rise of the internet and the need for data-driven decision making in the tech industry.