Categories: Miscellaneous Concepts
Definition: A/B testing, also known as split testing, is a common practice in digital marketing used to compare two versions of a webpage, email, ad, or other digital content to determine which performs better in achieving a specific goal.
Why It Matters: Understanding this concept is essential for modern web strategies, directly impacting user engagement and technical performance.
How It Works: The goal could be anything from increasing click-through rates, conversion rates, sign-ups, purchases, or any other desired action from the target audience. This process often closely interacts with concepts like Nielsen DMA.
Related: Nielsen DMA, Nash Equilibrium, Deep Networks
Synonyms:
split testing