{"id":99609,"date":"2022-01-17T23:27:00","date_gmt":"2022-01-18T05:27:00","guid":{"rendered":"https:\/\/www.bluehost.com\/blog\/conduct-a-b-testing\/"},"modified":"2022-01-17T23:27:00","modified_gmt":"2022-01-18T05:27:00","slug":"conduct-a-b-testing","status":"publish","type":"post","link":"https:\/\/www.bluehost.com\/blog\/en-in\/conduct-a-b-testing\/","title":{"rendered":"A\/B Testing Guide: How To Find the Best Solution"},"content":{"rendered":"\n

There is more than one solution to a problem, especially in the online world. For example, you can keep the website menu<\/a> in the banner, use a hamburger icon to keep it hidden at the side, or create any other variation. Not all of these will give the same results.<\/p>\n\n\n\n

When creating a webpage or designing a mobile application, giving users what they want is crucial. That\u2019s why you need to test ideas with real users, gather valuable data, and ensure that your chosen solution is the best.<\/p>\n\n\n\n

That is where A\/B testing comes into play.<\/p>\n\n\n\n

So, what is A\/B testing? A\/B testing, also called split testing<\/a>, is a way to compare different versions<\/a> of a solution to find out what works best. It is a method that marketing, communication, and design professionals use to improve their metrics, such as conversion and click-through rate.<\/p>\n\n\n\n

A\/B testing is a structured method<\/a> to perform a controlled experiment. But here\u2019s the good news \u2014 the testing process can be simplified by breaking it down into steps. Read on to discover the process and best practices for A\/B testing.<\/p>\n\n\n\n

How Does A\/B Testing Work?<\/a><\/p>\n\n\n\n

How To Do A\/B Testing<\/a><\/p>\n\n\n\n

Final Thoughts: How To Conduct A\/B Testing Effectively<\/a><\/p>\n\n\n\n

<\/a>How Does A\/B Testing Work?<\/h2>\n\n\n\n

The purpose of A\/B testing is to define a problem, find multiple possible solutions, test them with real users and then pick the best option.<\/p>\n\n\n\n

The problem can be as small as the color of an action button or the choice of text for a call to action (CTA). You\u2019ll be surprised to see how users react differently to such minor changes.<\/p>\n\n\n\n

Experts can get feedback from users based on a series of tests. The A\/B testing statistics are then analyzed using qualitative and quantitative techniques. These results can help devise an effective strategy for the future, resulting in improved metrics.<\/p>\n\n\n\n

<\/a>How To Conduct A\/B Testing<\/h3>\n\n\n\n
  1. Identify the problem<\/li>
  2. Define your goals<\/li>
  3. Create at least two solutions to test<\/li>
  4. Gather feedback from real users in a real-world environment<\/li>
  5. Collect enough data to perform the analysis<\/li>
  6. Analyze the metrics and formulate results<\/li>
  7. Take action based on the results<\/li><\/ol>\n\n\n\n
    \"Structured<\/figure>\n\n\n\n

    A\/B testing is a structured approach with well-defined end goals. Although the exact nature of the test can vary based on the product or service you\u2019re working on, the overall pattern remains the same.<\/p>\n\n\n\n

    The following steps can serve as the A\/B testing guide to simplify the process for you.<\/p>\n\n\n\n

    <\/a>1. Identify the Problem<\/h4>\n\n\n\n

    The first step in A\/B testing is identifying the problem you want to solve. For example, if your webpage is not giving the desired conversion rate, you need to find out the problem. The same applies if your online shop has high cart abandonment rates.<\/p>\n\n\n\n

    If your website does not have a good user experience, you need to understand the audience’s pain points.<\/p>\n\n\n\n

    When figuring out how to do A\/B testing, it is vital to have a clear understanding of the problem. This step will guide the entire process, adding to the benefits of A\/B testing.<\/p>\n\n\n\n

    <\/a>2. Define Your Goals<\/h4>\n\n\n\n

    Once you know the problem, the next step is to define your goals. If, for example, you want to improve the conversion rate, you must specify the ideal rate that your solution should give.<\/p>\n\n\n\n

    That will help you come up with realistic and achievable targets.<\/p>\n\n\n\n

    The clarity in your goals will help you develop a test hypothesis you can then use to formulate an effective A\/B test. In statistical terms, this will help you define your independent and dependent variables<\/a> that can then be analyzed.<\/p>\n\n\n\n

    <\/a>3. Create at Least Two Solutions To Test<\/h4>\n\n\n\n

    When you know the problem and have a clear idea of what you want to test, the next step is to work on the solutions for split testing. To conduct A\/B testing, you need two or more possible solutions.<\/p>\n\n\n\n

    For example, when creating a signup page, you can include input fields for email and password at the top or provide one-click signup options first. The landing page of LinkedIn uses the former, while Twitter\u2019s homepage adopts the latter strategy.<\/p>\n\n\n\n

    \"Signup<\/figure>\n\n\n\n

    Sometimes, you may want to test more than one solution for a given problem. Such methods are an extension of the A\/B tests and are referred to as multivariate tests<\/a>. What is important is testing these variants with real users.<\/p>\n\n\n\n

    <\/a>4. Gather Feedback From Real Users in a Real-World Environment<\/h4>\n\n\n\n

    The next step in A\/B testing is to gather feedback from real users. Remember, the purpose of A\/B testing is to resolve the target audience’s problems and make their lives easier.<\/p>\n\n\n\n

    You should have a representative sample that reflects the target audience and is diverse. Present the alternatives to your users and observe their performance. For example, if you want an improvement in the conversion rate, note which variant gives you better conversion.<\/p>\n\n\n\n

    Another important thing to consider is you should always test for one solution at a given instant. That way, you\u2019ll stay focused, and the users will not get overwhelmed.<\/p>\n\n\n\n

    <\/a>5. Collect Enough Data To Perform the Analysis<\/h4>\n\n\n\n

    Gather adequate amounts of data that can be used to perform statistical analyses. If a small sample cannot give you enough information, then a study consisting of a huge sample is not feasible. Therefore, choose your sample with care.<\/p>\n\n\n\n

    It is also essential to have a balance between the alternative solutions. For example, if five people are using variant 1, then a similar number of people should use variant 2. That way, you will benefit from the feedback and identify some statistical significance in your results.<\/p>\n\n\n\n

    <\/a>6. Analyze the Metrics and Formulate Results<\/h4>\n\n\n\n

    Once you have gathered the data from the tests, you can now analyze the metrics. The metrics should be clear and well-defined to get the best results.<\/p>\n\n\n\n

    If, for example, you\u2019re conducting A\/B testing for marketing<\/a> and SEO purposes on a website<\/a>, bounce rate and conversion rate will be of significance.<\/p>\n\n\n\n

    \"Important<\/figure>\n\n\n\n

    Statistical software such as SPSS can be used as A\/B testing tools to perform quantitative analysis. Google Analytics and Hotjar are also excellent tools that can be helpful in the analysis.<\/p>\n\n\n\n

    You can compare the metrics of the variants you\u2019re testing and then formulate A\/B test results. If a blue-colored button gives you a 20% conversion rate and a red-colored alternative gives 40%, you would want to focus on the latter.<\/p>\n\n\n\n

    <\/a>7. Take Action Based on the Results<\/h4>\n\n\n\n

    The process does not end with the test results. As a professional, you need to create an effective strategy for the future. Data gathered through A\/B testing methods can be of extreme help in conversion optimization for websites and improve your business.<\/p>\n\n\n\n

    When devising a roadmap for the future, it is vital to keep an eye on the problem identified in step 1 and the goals defined in step 2.<\/p>\n\n\n\n

    <\/a>The Benefits of A\/B Testing<\/h3>\n\n\n\n

    A\/B testing has numerous benefits, especially in the online marketing domain. Organizations try hard to maintain a strong online presence and attract more customers. They need the best solution for their websites \u2014 one that can result in maximum conversions.<\/p>\n\n\n\n

    Some of the most important benefits of A\/B testing are as follows:<\/p>\n\n\n\n