15 lines
1.4 KiB
Markdown
15 lines
1.4 KiB
Markdown
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title: A B Testing
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---
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## What is A B Testing?
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A/B testing (sometimes called split testing) is comparing two versions of a web page or element to see which one performs better. You compare two web pages or elements by showing the two variants (let's call them A and B) to similar visitors at the same time. The one that gives a better conversion rate, wins!
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Every website wants visitors converting from just visitors to something else(Convertions, sign ups, or just take action for something). The rate at which a website is able to do this is its "conversion rate". Measuring the performance of a variation (A or B) means measuring the rate at which it converts visitors to goal achievers. Data scientists use A/B testing to see which version(s) of their product leads to their desired goal faster. Sometimes large companies run hundreds or thousands of A/B tests to make product decisions. These tests are almost always randomized, large, and blinded. This means that the subject and the user does not know about the A/B test.
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#### More Information:
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For more information on A/B Testing please read
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<a href='https://vwo.com/ab-testing/' target='_blank'>The Complete Guide to A/B Testing</a> and
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<a href='https://hbr.org/2017/06/a-refresher-on-ab-testing' target='_blank'>A Refresher on A/B Testing</a>.
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<a href='https://www.optimizely.com/ab-testing/' target='_blank'>What is A/B Testing?</a>
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