What is an A/B test in marketing and why should you do it?

3 min read

Index:

1º What are they?

2nd Steps to be taken

In the complex world of digital marketing, optimization plays a key role in constantly improving strategies and increasing results. However, effective testing is not just about changing a button or a page title. In this blog, we'll take a closer look at what A/B testing is and how to approach it. 

In Adsual we like to comment that digital marketing is not an exact equation, so a marketing strategy for two companies, even if they are in the same sector, most likely will not work if it is the same. Obviously, each business structure, each sales system, service, prices, margins, etc, everything adds up and no two companies are alike

Optimizing your digital marketing strategies is a very important task, which you can achieve thanks to A/B testing. We hope that in this blog you will learn a little more about this type of optimization. 

What are A/B tests and why are they important? 

A/B testing is a type of strategy that tries to create two different versions of an element or parameter within the marketing strategy (landing page, web, email, ad, etc) to two audience groups. The importance of creating two different versions of an element will help to obtain more data to know what performance each test is offering. 

This type of testing is essential because it allows data-driven decisions to be made, which helps to work towards more accurate and informed optimization. Obtaining data through this type of testing will help to achieve more robust results. 

Steps for effective A/B testing 

1. Define the objective : Before starting any A/B test, it is very important to be clear about the objective we want to achieve. Are we looking for an increase in conversions, improve the click-through rate or reduce the bounce rate? Clearly defining the objective will help to design a test effectively and measure success more accurately. You should know that in the world of digital marketing having business objectives are fundamental to decide more accurately what are the next steps to follow.

Identify the variables that you can test: Deciding which elements of the campaign will be tested is fundamental to create a more solid strategy. This step ranges from what text can be included in the call to action, web design, images, colors, etc. It is important to limit the number of variables so that the results are concise and easy to interpret. Keep in mind that you can not only test these elements that we have mentioned, as marketers we know the importance of creating campaigns or ads that fall within the A/B tests. This means that creating, for example in Google Ads, a campaign with several ad groups, to sell the same product, can help us to know what type of configuration, segmentation, or keywords work best. 

3. Create the variables : Once you have decided which elements of the campaigns you are going to test in the different tests, you must create the variables that you are going to test. Define variables that are significantly different from each other, and do not change too many elements between tests, there must be a total congruence so that the data is as accurate as possible. That is, if for example the test is with two landing pages, test either with different copy on each landing page but the same design, or different design but the same copy. If we create two totally different landing pages, the data obtained will not be very concise. 

4. Divide the audience randomly: To guarantee the validity and veracity of the results obtained, it is essential that you divide the audience randomly. In this way each group will be representative and comparable. Once the tests have been carried out and you have seen which test works best, segmenting your audience by age or gender can help you create more personalized targeting campaigns. 

5. Run the test : Once your strategy is designed, created and fully configured, it is time to run the test. You must ensure that the conditions are the same for both groups. If in test A you invest 50€ a day in ads, and in test B only 10€, obviously by pure logic test A will have a greater reach. On the other hand, it is important that the test is run for a significant period of time to see results and collect meaningful data. 

6. Analyze the results : Once the test is finished, it is time to analyze the results. Pay attention to those metrics that are relevant to the test. If the main objective was to see which test has a higher CTR, focus on that parameter and even those that directly or indirectly affect that parameter.

It is important to look beyond superficial metrics and consider the overall impact of your digital marketing objectives. 

7. Implement the results : Based on the test results, implement the winning variables in your campaign. However, the process does not end here. It is clear that to add improvements and continue to grow or increase the results, you must keep testing, creating new A/B tests with the clear objective of which parameters you want to improve. Keep optimizing constantly to progressively improve your results. The charm of marketing is the strategy and as we mentioned above, in digital marketing 2 + 2 are not four. Creativity, knowing the market, focusing on knowing your audience and of course being informed of trends, is fundamental to take your business to the next level. 

A/B testing is one of the most powerful tools in the arsenal of any marketer who wants to drive their strategies to get more optimal results. The effectiveness of this type of tests and performing them in a concrete and exhaustive way will help to significantly improve your digital marketing results. 

Accuracy and data collection are critical to help you generate greater profitability. Remember that optimization is an ongoing process, and A/B testing is critical to this process. 

We hope this blog will help you design your A/B tests, and learn why they are so important in the world of digital marketing. If you have questions about how to design an effective marketing strategy, or even how to create A/B tests for your company, contact us, we will be happy to help your company to give it the boost it needs.

We wish you every success in your adventure to your chosen sea!

Greetings and see you next time!

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