What is A/B Testing?

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BlackTom AI · Accepted Answer

To address the question 'What is A/B Testing?', let's evaluate each option in turn and compare them to the core concept of A/B testing.
Option a: 'An advertising banner' — This describes a type of media asset rather than a testing method. A/B testing is not defined by the banner itself; it’s about comparing two or more versions to see which performs better. So this option misconstrues the concept as a single artifact rather than a comparative process.
Option b: 'A new social media' — This describes a platform or channel, not a testing methodology. A/B testing concerns experiments on variations of content, design, or options, not the existence of an entirely different social media platform, making this choice inaccurate.
Option c: 'A marketing technique to test different variations of advertising' — This aligns with the widely accepted definition: A/B testing is a method where two (or more) variants are compared against each other to determine which performs better, typically in terms of engagement, conversions, or other metrics. The phrase captures both the purpose (testing) and the setup (different variations of advertising), which makes this option correct.
Option d: 'A marker to measure clicks' — This describes an analytics metric or tracking element, not the method itself. While A/B testing uses metrics like clicks to compare variants, the statement itself reduces A/B testing to a mere measurement tool instead of outlining the experimental technique, so it’s misleading.
Overall, the options critique each aspect of what A/B testing entails: a single artifact, a platform, the correct process of comparing variations, and a measurement tool. The only choice that accurately defines the concept is option c, the marketing technique to test different variations of advertising.

What is A/B Testing?

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