A/B tests signifies that companies will create two versions of a digital asset to see which of the two users will have a better reaction towards. It's important to analyze different marketing channels and understand what works best for your company. Case studies show that some of the most successful campaigns are based on A/B testing various ads and landing pages in order to find the best option for your audience. The performance of each version can vary based on the success goal and how easy it is to achieve. They can either vary depending on what the user does (such as whether they click a link, complete a form, or buy) or be based off target demographics.