A/B TESTING: Understand the Importance and Learn how to do them in your company.

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Understand here the importance of A/B testing for any company and how it works in practice
One of the great advantages of digital denmark mobile database is the possibility of monitoring the performance of your strategy with the help of various platforms and metrics. No matter the size of your company or its peculiarities, the possibility and ease of analyzing and testing results is well known.

That’s where A/B testing comes in. Interested in the topic? Then keep reading to find out more!

Illustration A/B tests, tests of one variable, image with central computer on the screen with positive icons on the left side and negative on the right side, simulating the a/b test, above the computer written in green: "A/B Tests" and subtitle "Understand the importance"
Photo: Illustration A/B Testing
What are A/B tests?
What are they really about? They are ways of testing a variable of your marketing strategy by creating two versions that will be presented to the public. Just monitor which one presents the best results and then choose the most successful one.

You can test different titles, landing pages, images, CTAs and even the color of the button that accesses your content link. It's that simple! Now, if you want to know more about the benefits and how to apply A/B testing in your company, keep reading!

Why apply A/B testing?
This type of testing can be very beneficial to your business, but how do you know when it’s the best time to conduct this investigation? Above all, it should be used whenever there are questions about your page’s performance . If your conversion rate is low and you have doubts about the effectiveness of a certain aspect, focus on that specifically and start testing. Eliminating guesswork is the main reason to conduct A/B testing.

By running a test with statistical value and detailed monitoring, you gather solid material to help you make the right decision. In digital marketing , all decisions need to be made based on data, not guesswork. Testing potentially weak aspects of your strategy will provide this feedback.