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A/B-Testing

A/B-Testing: Find the best version of your website or campaign

Increase your success in online marketing by analyzing different variants

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With A/B-Testing to success

Optimize your website and campaigns with A/B tests! Our experts support you in creating various versions of your design, text, or offer and systematically testing them to see which version delivers the best results.

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What is A/B-Testing?

A/B testing, also called split testing, is a method of testing two or more versions of a webpage to determine which version works better. One version of the webpage is shown to one part of the users, while the other version is shown to another part of the users. The results are then analyzed to decide which version performed better.

How does A/B-Testing help my business?

Through A/B testing, you can test and thus optimize the effectiveness of changes to your website.

Why is A/B-Testing important?

A/B testing is important because it helps you make data-driven decisions and improve the performance of your website or product. It allows you to test small changes to elements such as copy, buttons, or layout to determine which version works best.

How does A/B-Testing work?

Here are the basic steps for an A/B test:

  • Identify an element you want to test, e.g., a button or a text section.
  • Create two versions of the element you want to test.
  • Divide your visitors into two groups and show each group a different version of the element.
  • Track the performance of the two versions and compare the results.
  • Choose the version that proved to be the best and implement it on your website or in your product.

Which tools can I use for A/B-Testing?

There are many tools for A/B testing, including:

Google Optimize
A free A/B testing tool from Google that is easy to use and integrates seamlessly with your Google Analytics integration.
Optimizely
A popular A/B testing tool that offers a variety of features, including personalized tests, multivariate tests, and more.
Visual Website Optimizer (VWO)
Another popular A/B testing tool that offers an intuitive
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