Analytics
Abbreviation: ABT
Also known as: ABT (A/B Testing)
A/B Testing involves comparing two or more versions of a webpage, advertisement, or email to determine which one performs better in achieving specific goals, such as clicks or conversions. Marketers use this method to make data-driven decisions, enhance user experience, and improve conversion rates. A/B tests are essential for validating strategies and optimizing marketing effectiveness by systematically evaluating different variations. Successful A/B testing often requires clear hypotheses, proper segmentation, and sufficient sample sizes to achieve statistically significant results.
ABT stands for A/B Testing. It is a analytics term commonly used in web analytics and digital marketing.
