A/B testing
A/B testing, also known as split testing, is a method used to compare two versions of a web page, app, or other content against each other to determine which one performs better. By analyzing user interactions and metrics, marketers can make data-driven decisions to enhance performance and improve user satisfaction. This tag encompasses various aspects of A/B testing, including its methodologies, tools used, case studies, and best practices for achieving meaningful results in optimization efforts.
