Setting up a software experiment: This is how the A/B test works

If you want to optimize your software, A/B testing is one of the best ways to go about it. Usually, this test is performed on a website, but it is also possible to do this for software. The A/B test ensures that software or a website is easy and pleasant to navigate. It also ensures more conversions.

Are you curious about what exactly the A/B test is and how to set it up? Then read on!

What is the A/B test?

The A/B test is a test that you can use to see what works best for your visitors or users. It's actually just a simple test to see what works best. This could be something as simple as changing a color, or it could be something as big as a completely new feature.

By showing one version to half of your users and the other version to the other half, you can test what works best. The A/B test can be applied to various things. Consider a website or software, but also an e-mail, for example.

The importance of an A/B test

The A/B test is extremely important for marketing. Although an expert's opinion can say a lot, in some cases a human opinion is too unclear. An A/B test can therefore answer questions in the field of marketing.

The longer you optimize a page, software or email with the A/B test, the more conversions, leads, sales, users and ultimately turnover you can generate.

How does A/B testing work?

An A/B test may sound very difficult. This is because you only have one website, one software and one email that you can send. It sounds very complicated to implement this, but fortunately, it is not so bad. It is possible to use different tools to achieve this. It is also possible to get professional help from 4BIS with this.

These tools divide visitors/users into random groups and track the performance of these groups. This way you can see exactly what happened.

What do you pay attention to during an A/B test?

There are several things you can pay attention to during an A/B test. Below is a list of things you should pay attention to:

• The goal: Determine what you want to achieve with the test. This allows you to work in a more targeted manner.
• The topic to test: Choose what you would like to test. This can be something simple, but also something extensive. Choose only one topic at a time.
• Create a hypothesis: With a hypothesis, you write down what you expect. This can be used later to test the test.
• Collect data: Before drawing conclusions, it is important to collect sufficient data. The more data you have, the clearer the outcome.
• Conclusion: After collecting the data, you can draw a conclusion. It is not only important to look at the result of the data, but also why it comes out.

Do you need help setting up or carrying out an A/B test? Please contact us!