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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“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. In this post, you will know about the advantages and disadvantages of A/B Testing and Multivariate testing and when should you use A/B testing or Multivariate testing.

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.

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

Multivariate Testing, or MVT testing, is a testing method where multiple variations of multiple elements on a webpage are combined to determine the best combination of elements on the page to increase conversions.

It’s a key testing method in conversion rate optimization

By using a multivariate testing tool, you can test different variations of any element on your page (headlines, images, buttons, etc.) to measure their …

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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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