Split testing, also known as A/B testing, is a process of comparing two or more variations of a webpage to determine which one drives better performance and achieves desired goals. It involves randomly dividing website traffic between different versions and collecting data to evaluate their effectiveness in terms of user engagement, conversion rates, or other predetermined metrics. This experimentation technique helps optimize website design, content, or functionality by identifying the most successful variation for improved user experience and business outcomes.