What is A/B testing?

A statistical model that helps you define the credit assigned to each interaction a visitor takes along their buyer's journey at your organization.

A type of marketing experiment where you split your audience to test a number of variations of a campaign to determine which performs better.

A measure of the likelihood that the difference in conversion rates between a given variation and the baseline is not due to random chance.

A type of marketing dashboard that helps you measure how well you're solving for your buyer's as they progress through their buyer's journey.


Choose an option to see if it’s correct. Check the explanation below.

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Explanation: What is A/B testing?


Explanation: The correct answer is **A type of marketing experiment where you split your audience to test a number of variations of a campaign to determine which performs better**. A/B testing, also known as split testing, is a method used to compare two versions of a marketing asset, such as a webpage, email, or advertisement, to determine which one performs better. In an A/B test, the audience is divided into two groups, with each group exposed to a different version of the asset. The version that yields the desired outcome, whether it's higher click-through rates, conversion rates, or engagement, is then identified as the winner. A/B testing allows marketers to make data-driven decisions by systematically comparing different elements, such as headlines, images, calls to action, or layouts, to understand their impact on user behavior. By identifying the most effective variations, marketers can optimize their campaigns to improve performance and achieve their marketing goals more efficiently. Therefore, A/B testing is a valuable tool in the marketer's toolkit for driving continuous improvement and maximizing the effectiveness of marketing efforts.
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