A/B Testing vs Multivariate Testing

Things like differences in your competitors' marketing strategies, political change, or a variety of other variables can make it difficult to directly compare the results of A/B tests.

As a result, sometimes it can be hard to know if a particular A/B testing variant succeeded (or failed) be...

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. 

One version is the “control” group, or the version already i...