Test types – How does an AB test work?

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Depending on which part of a page you want to test, there are different types of A/B tests. The A variant is always the “ control variant” , i.e. the variant that remains untouched during the test. The B variant is also called the “ test variant ” because it contains the change to be tested.
Classic AB tests
Here, both test scenarios are located on the same URL . This variant is often used when testing front-end changes. The goal is to measure the impact on the performance of individual elements.
split test (redirect tests)
AB tests are fundamentally different from split tests because two different website URLs are tested here - example.de/a and example.de/b. Basic things are tested, such as a change in the overall design. During oman mobile numbers list the split test, part of the website traffic gets the A variant and another part gets the B variant . The conversion data is then compared to evaluate the variants.
What are the benefits of split testing?

You can test new designs against the existing page design without having to make a complete change
Recommended for tests where the user interface is not affected, but changes such as loading times, database changes, etc.
Multivariate Tests (MVT)
In multivariate tests, several changes to a page are tested simultaneously in order to compare the combination of different changes on a page. Since this method is much more complex to implement and evaluate, we consider it to be for advanced users. For example, the design, the color of the text or different banners can be tested here.
What can be tested?
The goal is to identify which version of a page is more popular with users . There is hardly a limit to the potential test scenarios and types of pages, because every page has a measurable goal . The customer's entire customer journey , and in particular the part that already takes place on your site, is crucial to the success of your online presence.
For example, the following can be tested :

subject lines in emails
Design & Layout of websites
navigation elements
CTAs
forms
shopping cart steps
social proof elements
headings
text content
prices
Entire websites before relaunch implementation (Canary Relaunch)
etc.

How to find ideas for tests?
Before a meaningful AB test can be carried out, data must be collected and analyzed. The focus here is on user behavior , where problems and hurdles must be identified. This can be identified with the help of analytics data, heat maps, user tests, user feedback, session recording, etc.
Based on this, a hypothesis can be derived that is subject to the following rules :

A hypothesis should describe a clearly identifiable problem .
A hypothesis must contain a potential solution
A hypothesis must reflect the expected result of the AB test
Further information on the design of the hypothesis follows in the article.