What is test n? in 100 words or less

In summer, my favorite time of the day was when the ice cream truck was driving down our street.

Usually I didn't know what I wanted. If I had saved up enough money, I would order a push-up (am I dating, or is it always free?), The rocket popsicle and an ice cream sandwich.

I didn't know, I was actually doing an A / B / n test. I wanted to taste multiple flavors - not just two.

As a marketer, I encountered the same problem with split testing.

When I worked in an agency, I would typically write four to five headlines for a landing page. To taste all the flavors, so to speak (like I did with my ice cream), we would do A / B / n tests.

Below,let's go over what N tests and tools are to get you started.

What is N Testing?

N tests, similar to A / B tests, consist of testing multiple versions of the same web page against each other. However, with N tests, you will be looking at more than two versions. The N in A / B / n tests refers to the number of variations. For example, you can set up an A / B / C test or an A / B / C / D test.

Now you might be wondering, "How is this different? multivariate testing? "

That's a good question.

Multivariate tests are generally more complete than A / B / n tests. For example, an A / B / n test will test an element of a web page, while a multivariate test will test several variables at once.

For example, a test A / B / n can test the color of a CTA button, while aA multivariate test tests the title, button and image.

So, now that we understand what N testing is, let's take a look at why you should implement A / B / n testing in your campaigns.

Why should you implement A / B / n testing?

Sometimes when you create a landing page you will have multiple versions of the copy, CTA, or images.

In fact, in my experience when I created landing pages I almost always had three to four different versions of each of these elements before deciding which one I wanted to use.

This is where A / B / n testing comes in.

This type of split testing gives you the ability to test multiple versions of your web pages.

If you 're still collecting information and data about your audience, this is especially useful. When you don't know what your audience will respond to, you need to run un A / B / n test to gather information on what works best with your target market.

What are the disadvantages of A / Tests B / n?

While A / B / n testing is useful when you have multiple versions of a web page that you want to test, there is a possible downside to this type of testing.

Since you are dividing the traffic to your site, the more variations you want to test, the more traffic and time it will take to achieve a statistically significant result .

In addition, it is important to use A / B / n testing to gather information about your audience and draw meaningful conclusions about the type of content they want to see.

Experimenting with minor changes, such as the color of a button, will not significantly increase your conversion rate.

Once you decide to run an A / B / n test, you might be wondering "How do I get started? "

Well, there are actually tools that can help. When looking at A / B testing tools, you should always check that they can run multiple variations, not just two.

Below, let's review the main tools you can use to implement A / B / n testing.

A / B / n test tools

1. VWO test

VWO is a popular A / B test tool among marketers and developers because it 's easy to use and intuitive.

Moreover, it is a powerful and robust tool that can help you to implement full multivariate testing or a simple A / B / n test. It is most popular among corporate brands including Target, eBay, and Virgin Holidays.

Main features include audience targeting, campaign segmentation, statistical relevance analysis and ther mapsmics.

2. Crazy Egg

Crazy Egg is a great alternative for small businesses looking for a more cost effective solution.

With this tool, you can run A / B / n tests to understand the customer journey. With advanced heatmaps and visitor records, you can see where your audience is stuck.

Its main features include funnel analysis, split testing, campaign segmentation and statistical relevance analysis.

3. Instapage

Instapage is a great A / B / n testing tool that is designed to help marketers create more campaigns impactful.

With this tool you can create, customize and optimize your landing pages at scale. The goal is to test your user's behavior, speak to your audience, and validate what works best.

Its prinKey features include audience targeting, heat maps, multivariate testing, and ad-to-page personalization.

Running a split test is not always as easy as testing two versions of a web page. Sometimes you will have multiple versions that you want to test. With A / B / n testing, you can see which version of your age landing works best.