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From Beginner to Master: A/B Testing

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You can’t expect to be a master of CRO at the snap of your fingers. However, anything can be mastered with enough effort and knowledge. With A/B testing, it’s all about trial and error. It’s in its name, afterall.

Today, we’re exploring different things you should know about A/B Testing so by the time you finish reading this article, you’ll be acing your testing strategies.

What Are You Testing?


Of course, one of the most important things you need to test is your copy. Ask yourself these questions:

What’s your intended effect on your audience reading your website?
What are the information your past clients looked for and their reason for converting?

Does your audience explore your pages? Good. That means the copy engages and gives them the information they need. If they close the website, figure out where, when, and why they did. These are clues to help you smoothen out friction in the conversion process.

Layout and Elements

Does your layout attack your website visitors with countless popups, cluttered information, and uneven sections? But how do you know how much popups and photos are effective and when does it become excessive?

A/B Testing helps you pinpoint this magic number so that each of your elements are interacting at their most optimal state.

Check out the 8 most powerful and effective tools to upgrade your Conversion Rate Optimization process.

Types of A/B Testing

In a nutshell, A/B Testing is all about having a control group and a variation of that. The results give you a glimpse of what elements your audience responds to more to help you create a better web experience and eventually, higher conversion rates.

With that, there are actually different types of tests you can do besides the traditional 1 vs. 1 of A/B Testing.

A/B/n test

This is simply A/B testing but with additional variables (C,D, E, and so on). The reason why you might want to do this instead of the usual A/B is so you can test different variations for the same element, saving you time.

Multivariate test

This requires you to have different design elements for each variation. It can get a bit confusing for beginners, so if you’re still starting out, it’s best to stick with A/B Testing and leave this for when you’ve mastered CRO Testing.

Take note though that for A/B/n and Multivariate Testing, you have to have significant traffic to get quantifiable results.

Research As Your Golden Ticket

To support your A/B Testing, you’ll need sufficient knowledge of your audience to back you up. This can be in the form of deep researching but also in examining analytics you’ve gathered. Some examples include:

  • Web Analytics
  • Technical Analytics
  • Mouse-tracking Analytics
  • Qualitative Research

There you have it, a short guide to equip you in elevating your A/B Tests. If you’ve got any questions (no such thing as a question too small!), you can reach out to our CRO team anytime. Our CRO Director Max will be happy to help you identify and resolve issues.



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