Category Archives:Multivariate Testing

  • Bayesian vs Frequentist A/B Testing – What’s the Difference?

    Bayesian versus Frequentist Statisticians: the war is real

    Imagine that you wake up in the one morning and you don’t remember anything from your previous life. You’ve erased all memories from your previous days.

    Pretty intense and terrifying, huh?

    Well, that’s how Bayesian statisticians describe frequentist colleagues because frequentist statisticians do not use any prior knowledge. Everything you learn about the world is through the lens of events that are happening at the moment and currently.

    Michael Hochster explains;

    “The essential difference between Bayesian and Frequentist statisticians is in how probability is used.”

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  • A/B Testing and Multivariate Testing: An Introduction to Testing for Conversion Rate Optimization

    “Should I run an A/B test or a Multivariate test?”

    This simple yet fundamental question always pops up in planning for conversion rate optimization.

    A/B testing is the default and most common procedure in CRO programs. In some cases, though, running a multivariate test can add a significant value. Other times, you have room for both tests interchangeably.

    The great benefit of testing? You give your visitors a voice in the design process.

    When implemented correctly, testing removes the guesswork from conversion optimization and you move to the stage where every action you take is a result of an informed

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  • Multivariate and A/B Testing Best Practices

    Conducting a multivariate test is exciting.

    By using the right tool, you can quickly develop different designs for your webpage, split visitors between these designs and observe the conversion rates for each variation.

    Done incorrectly, AB testing can result in a waste of money, misuse of staff-hours, and, even worse, a decrease in your conversion rates.

    Here are ten best practices you must follow when conducting a multivariate test.

    A/B testing best practices during the planning stage 1.  Set expectations correctly

    Wrong expectations lead to disappointment and lost investment.

    Many marketers start split testing because they read or watched a case

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  • The Process of Creating a Successful A/B Test

    You need people who can design proper test scenarios, analyze results accurately, and create meaningful follow-up experiments.

    Poorly designed experiments might not provide concrete insights into why visitors behave a particular way on your website. You need criteria to determine, for example, which elements on a page you should test, which external and internal factors could affect the results, and in which ways to create the designs for new phases of your testing program.

    As much as testing is essential to any conversion optimization project, it should only be conducted after the completion of equally essential stages of optimization work

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  • Comparing Multivariate & AB Testing Tools (updated for 2018)

    It is time now to select an AB or multivariate testing platform to start running your tests. There are over thirty different tools available in the marketplace for you to choose from. So, you might ask:

    What is the right split testing tool for my website? Will I affect the success of my conversion optimization program by choosing one particular tool?

    The market is full of testing tools that range from simple free tools to sophisticated enterprise split testing software. This article will walk you through the pros and cons of different split testing tools available.

    We will also suggest

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  • The Difference Between A/B Testing and Multivariate Testing

    Both A/B testing and multivariate testing share the same concept: splitting visitors between several designs of your website or webpage to determine which of these designs generates more conversions.

    So, which of these two methods is best suited to help you increase your website conversion rate?

    AB Testing

    AB Testing (or Split testing) allows you to test one or more variations for each page on your website against each other.

    Let’s take few examples:

    On an e-commerce website, you can create a new design of your product page to test whether the product image should be placed on the left or

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  • What is Multivariate Testing?

    Editor note: Please note that we use button colors, fonts, headlines as a way to clarify the concept of testing. Succesful AB and multivariate tests will include more sophisticated changes to your page.

    Multivariate Testing or MVT testing is the process of testing multiple variations of multiple elements on a webpage with the goal of determining the best combination of different elements on the page to increase conversions.

    By using MVT testing software, you can test different variations of any element on your page (headlines, images, buttons, etc.) to measure their impact on your conversion rates. The following image displays an

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  • 12 Multivariate & A/B Testing Tips for Beginners

    Even if you’ve never done the digital marketing version, you very likely do some AB testing already. Can’t choose the right color for you kitchen walls? You bring home two swatches from the paint store to see which one looks best. Can’t get your children away from computer games? You try reasoning, then bribery, and go with the one that keeps them offline the longest.

    Multivariate & A/B testing are use the same concept. You test two versions (the first version, or control version, is “A” and the comparative version is “B” = AB testing) of a marketing element, whether

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