Testing Your Ads: How To Do It

Ad Optimization
Last updated: July 19, 2019 | by Kean Graham

This post was most recently updated on July 19th, 2019

Yesterday, we wrote about the importance of A/B testing your ads. A/B testing your ads is one of the single best things you can do to increase your ad revenue; it’s quick, easy, and in many cases, free. But how do you do it? How can you test whether one ad unit or another is working well for you? How can you test whether display ads or text ads are better for your website? Every website is different, and you can’t just assume anything when it comes to ads on your website.

ad testing tubeFortunately, there are several free tools you can use to run A/B tests on your ad units. The most fully-developed of these is Google Website Optimizer, so that’s what we recommend.

Although you’ll have to manually update the changes to the code you want to A/B test each time you run a different experiment, it’s worth it to see just how your ads are performing.

The answers may surprise you.

Steps to Run A/B Test

Running an A/B test using Google Website Optimizer isn’t that challenging, but before you do so, you need to do some preliminary work.

First, like any good experiment designer, you need to develop a hypothesis. What are you trying to test? An example of a good hypothesis would be “an ad unit on the right-hand side of the website will perform better than an ad on the left-hand side of the website”. Some publishers might just take that assumption and run with it.

Not you.

Once you have your hypothesis, take a moment to write out exactly what you’ll be testing. In any other type of experiment design, this would be considered defining your control group and experimental group. In this scenario, it’s just defining the eponymous “A” and “B” in your A/B test.

In the above hypothetical example, let’s define the experiment like this: “I’ll show 50% of my visitors’ ads on the right hand side of the website and 50% of my visitors’ ads on the left hand side of the website”.

Boom. There we have it: an experiment.

Executing the Test

Now that you’ve designed your experiment, how do you set it up?

First, select “A/B Experiment” instead of “Multivariate Test”. While a multivariate test is one of the most robust ways to test your website, it’s a little more complex of a solution that we need in this preliminary test.

Next, name your experiment. In this case, let’s call it “right left”. Google will then prompt you to enter the test page; follow the prompt and enter the URL of the page you want to test. Now, copy the JavaScript code into the header tag of the page you want to test.

Finally, you’ll be prompted to replace sections of HTML in the “Create variations” stage. That JavaScript code you just entered will be used to dynamically alter the HTML on your websites. Then it’s time to sit back, relax, and watch the results trickle in. After a few days, you should have some idea as to which ad unit placement performs best. Go with that one and then keep optimizing for different properties.

Remember, if you’re having any trouble, try working through some of Google’s tutorials.

Ad Ops Tips & Guides, Industry News, Latest Tech and Success Stories - right in your inbox.

We are committed to protecting you Privacy Data

Here’s the course that 300+ pubs used to scale their ad revenue.

Enroll today

Book Banner

Recommended Reading

AdTech Industry Definitions
November 28, 2022

What Is Google Ad Manager – How to 10X Revenue with GAM?

Read More
Ad Servers
November 27, 2022

Best Ad Server Platforms For 2023

Read More
Ad Blocking
November 25, 2022

Simple Strategies For Publishers To Combat Ad Blockers

Read More

Enjoying this post? Let's put things to action

Get started