AB Testing – How does AB Testing work?
Posted: Sat Feb 01, 2025 5:34 am
By conducting AB tests, important conclusions can be drawn about the design of the website. If the results are analyzed correctly, the appearance of the website can be optimized as best as possible for visitors.
AB Tests Graphics
What is AB Testing?
AB testing in marketing – this is a data-driven and at the same time random-based process for testing different scenarios of potential changes in the live system . Users are randomly assigned to one of the test variants. The aim is to identify possible improvements in the online experiment .
Why AB tests?
With the help of AB tests , assumptions about improved performance through change X can be tested and evaluated on the basis of data before they are finally implemented in the live system. The goal or KPIs to be analyzed as part of the test can be freely selected. Since the more efficient variant can be identified in this way, this method is often used in conversion rate optimization . Not only quantitative results are collected, but qualitative data can also be evaluated. For example, data on the conversion luxembourg mobile numbers list rate, user behavior and touch points on the page can be collected.
Collecting data and testing different variants can solve or at least counteract typical website problems . This includes, for example, users not finding clearly formulated calls to action on the page being tested. This can result in users considering their individual problem as not being solved. In the worst case, users leave the website without converting. By collecting and evaluating data through A/B testing, such hurdles in website usage can be identified and measures for optimization can be derived.
Another goal is to encourage users who are already on the site to convert more often. This is much cheaper than bringing additional traffic to the site with new users . Accordingly, a successful AB test that has eliminated one of the identified hurdles can improve the conversion rate . In addition, better usability and thus higher user satisfaction can have a positive effect on the bounce rate , which is a direct metric in performance evaluation.
AB Tests Graphics
What is AB Testing?
AB testing in marketing – this is a data-driven and at the same time random-based process for testing different scenarios of potential changes in the live system . Users are randomly assigned to one of the test variants. The aim is to identify possible improvements in the online experiment .
Why AB tests?
With the help of AB tests , assumptions about improved performance through change X can be tested and evaluated on the basis of data before they are finally implemented in the live system. The goal or KPIs to be analyzed as part of the test can be freely selected. Since the more efficient variant can be identified in this way, this method is often used in conversion rate optimization . Not only quantitative results are collected, but qualitative data can also be evaluated. For example, data on the conversion luxembourg mobile numbers list rate, user behavior and touch points on the page can be collected.
Collecting data and testing different variants can solve or at least counteract typical website problems . This includes, for example, users not finding clearly formulated calls to action on the page being tested. This can result in users considering their individual problem as not being solved. In the worst case, users leave the website without converting. By collecting and evaluating data through A/B testing, such hurdles in website usage can be identified and measures for optimization can be derived.
Another goal is to encourage users who are already on the site to convert more often. This is much cheaper than bringing additional traffic to the site with new users . Accordingly, a successful AB test that has eliminated one of the identified hurdles can improve the conversion rate . In addition, better usability and thus higher user satisfaction can have a positive effect on the bounce rate , which is a direct metric in performance evaluation.