Post by account_disabled on Mar 9, 2024 3:27:23 GMT -5
The A HYPOTHESIS After you have set a goal for yourself you need to think about how you think you can achieve this goal using the AB test. Draw up a plan for yourself as to why you think a specific formula will bring about improvement. This ultimately results in a hypothesis your prediction of the course of the AB test. . MAKING DIFFERENT VARIANTS To see whether your hypothesis is correct you have to test different variants against each other. These variants differ for example in text color buttons or layout. . RUNNING THE the different variant.
Now we just have to wait for visitors. In the Phone Number List next step you will analyze which variant performs best based on the data obtained. Google Optimize or Meta Experiments keep track of this themselves and indicate when the difference is significant enough. . ANALYZING THE AB TEST By measuring the interactions you build up data for the different variants. This way you can easily determine which version performs best and then carry out optimizations. EXAMPLE At Brainpink we regularly conduct AB tests.
For example in a recent campaign we tested how the primary text of an ad promoting a whitepaper influenced the campaigns results. Variant A in which we emphasized that the white paper is available for free gave us a lower cost per click than variant B with the advertising text in which this was not highlighted. In this AB test the focus is only on testing the primary text. The video headers and other texts remained exactly the same. AB test for freeAB test basis This test gave us the following results Ad set Cost per click Click Reach Views Keyword gratis None for free Furthermore Meta Experiments indicated that there is an chance that the same winner would emerge if we were to run the test again. From this we can say with reasonable certainty that the variant with the text emphasizing free will achieve better results. into your hand NEED.
Now we just have to wait for visitors. In the Phone Number List next step you will analyze which variant performs best based on the data obtained. Google Optimize or Meta Experiments keep track of this themselves and indicate when the difference is significant enough. . ANALYZING THE AB TEST By measuring the interactions you build up data for the different variants. This way you can easily determine which version performs best and then carry out optimizations. EXAMPLE At Brainpink we regularly conduct AB tests.
For example in a recent campaign we tested how the primary text of an ad promoting a whitepaper influenced the campaigns results. Variant A in which we emphasized that the white paper is available for free gave us a lower cost per click than variant B with the advertising text in which this was not highlighted. In this AB test the focus is only on testing the primary text. The video headers and other texts remained exactly the same. AB test for freeAB test basis This test gave us the following results Ad set Cost per click Click Reach Views Keyword gratis None for free Furthermore Meta Experiments indicated that there is an chance that the same winner would emerge if we were to run the test again. From this we can say with reasonable certainty that the variant with the text emphasizing free will achieve better results. into your hand NEED.