A/B testing involves splitting your audience/user base into two groups. The two groups receive two versions of a feature. After a specified time, the product manager will look at the data gathered to know which version should be used for the entire user base.
The point of running a test is to use data to best improve your product.
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A/B testing, also known as split testing, measures two social media posts against each other to see which performs best.
The most common way of using A/B tests is to only change one element of the post between the two versions (headline, image, CTA, etc) so that you know any difference in p...
A/B testing works by randomly showing two versions of the same asset (ad, website, pop-up, offer, etc.) to different users. The random part is important because this provides more accurate information without skewing the results.
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A/B testing is used to find the best marketing strategies. It is be used to test everything from website copy to sales emails. This allows you to find the best-performing version of your campaign before spending your entire budget on one that don’t work.
While A/B testing is time-consuming...
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