1. Changing the control version during A/B testing
Making changes to the control version (original, version A) is a bad idea and should be avoided at all costs, especially if these changes affect the elements you are testing. Test results mean almost nothing if the original version was changed during testing.
A/B testing is defined as testing variations of a landing page that differ from the original version in only one element. One A/B test is one variation. When several different elements on the same page are tested at the same time, it is no longer A/B testing, but a more advanced multivariate test. If you are doing A/B testing and making several changes to the landing page, you are undermining the experiment and it will be very difficult to interpret the results after the test is complete. Why? Because you will not know which element influenced the results you get.
Suppose you want to use A/B testing instead of chinese overseas europe phone number data testing. In this case, you would start by testing the most drastic changes first, then the less drastic ones, always creating one variation at a time and comparing it to the control version.
3. Involve your most loyal visitors in A/B testing
If you have a high percentage of repeat visitors, it's best not to surprise them with a radically different version of your site or landing page. These users are already loyal to you, but radical changes to the site can negatively affect that, even if the new version ends up being a winner.
4. Stopping A/B testing too early or running it for too long
Each test should be assigned a statistical significance factor. This is a confidence level that is calculated based on the duration of the test and the amount of traffic it requires. At the same time, you should stop testing when its goal is achieved. Waiting to collect general data will not improve the final result of your A/B testing.
Changing multiple elements at once
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