Patience is a perfect ally when performing AB tests

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Additionally, not using the menu eliminated the possibility of missing the conversion opportunity by clicking to another page. ADVERTISEMENT What are the biggest AB testing myths? Like any practice within digital marketing , the AB test has myths about its use. We are going to reveal some so that you keep them in mind when you meet them. The tests can be done at a different time and not simultaneously When test A and B are used at different times or times, they may not have the best performance, and the data they bring us may correspond to a partial truth. When doing an AB test, it is important to have tools that allow you to do it at the same time, for example: send an email to a certain database with two different subjects, to a similar audience segment and at the same time, since emails, as well as other people's consumption habits, are subject to schedules.

A landing page that contains two different layouts and you Telegram Number Data want to analyze, for example, which image or text is generating the most conversions. When analyzing the different versions, it is important that you look at the moment in which the content was published. If you do not see results the next day, it is better to stop doing the test. You may be performing an AB test on a campaign that you urgently need to know the results of. However, in order to carry out a deeper and more accurate analysis, a greater number of results are needed, and this can only be achieved with time. By leaving an AB test available for longer, you allow more public interactions with it, bringing more results, and thus, a greater possibility of data analysis.



Patience is a perfect ally when performing AB tests. You can ignore the evidence and follow your intuition. ADVERTISEMENT When analyzing the results, it may seem better to leave them aside and simply follow your intuition of what seems to be the best option. This is another of the myths of AB tests, because for many it may be easier to be guided by the option they had considered at the beginning, but it is the data that the test provides that will tell us with certainty what is bringing better results and under what conditions. AB Testing Doesn't Work for Websites Here I can answer that this depends on the context and the performance of the website to which the test is going to be applied.