How To Run Google Ads Campaign Experiments Like A Pro In 2023 | Webxtar Lab
Run Google Ads Campaign Experiments Like A Pro

How To Run Google Ads Campaign Experiments Like A Pro In 2023

There are a lot of factors that go into running a successful Google Ads campaign, and it can be difficult to know which changes will have the biggest impact on your results. That’s where experimentation comes in. By running experiments, you can test different hypotheses to see what works best for your business.

However, not all experiments are created equal. To run an experiment that will actually give you valuable insights, you need to follow some best practices. In this blog post, we’ll share how to run Google Ads campaign experiments like a pro.

  • Decide what you want to test 2
  • Set up your experiment 3
  • Run your experiment 4
  • Analyze the results 5
  • Adjust your campaign accordingly

Google Ads Experiments Best Practices

Google Ads Experiments are a powerful tool that can help you optimize your campaigns and improve your results. However, like any tool, they need to be used correctly in order to be effective.

Here are some best practices for using Google Ads Experiments:

1. Know what you want to test.

Before you create an experiment, you need to have a clear idea of what you want to test. What is your hypothesis?
What are you trying to learn? Be as specific as possible so that you can measure the results accurately.

2. Keep the scope of your experiment limited.

It’s important to focus on one thing at a time when conducting an experiment. Trying to test too many variables at once will make it difficult to isolate the impact of each individual change.

3. Create two identical campaigns before creating an experiment.

In order for an experiment to be valid, you need a control campaign that serves as a baseline against which you can measure the results of your changes. Creating two identical campaigns ensures that all other factors (such as ad creative) are equal between the two groups and allows you to isolate the impact of your experimental changes.

How To Run Google Ads Campaign Experiments Like A Pro


How Do I Run a Google Ad Experiment?

Google AdWords is a great tool for marketing your business online, but it can be tricky to know how to get started. One way to learn is by running an experiment using the Google Ads platform. To run a Google ad experiment, you’ll need to create two separate campaigns: one that will serve as your control group, and one that will be your test group.

You’ll then need to create identical ads for each campaign and track their performance over time. Once you have your results, you can analyze them to see which campaign performed better. From there, you can make changes to your ads or campaigns based on what you learned from the experiment.

Running experiments is a great way to learn about what works and doesn’t work with Google Ads. So if you’re feeling stuck or just want to try something new, consider giving it a shot!

What are the 5 Different Types of Campaigns within Google Ads?

Google Ads offers five different types of campaigns for advertisers to choose from: search, display, video, shopping, and app. Each campaign type has its own set of features and tools that can be used to create ads that are targeted at specific audiences and goals.

1. Search Campaigns: Search campaigns are the most common type of Google Ads campaign.

They allow you to create text-based ads that appear in Google search results when people enter relevant keywords. You can use keyword targeting to make sure your ad appears for relevant searches, and you can also use negative keywords to exclude searches that aren’t relevant to your business.

2. Display Campaigns: Display campaigns allow you to show an image or video ads on websites across the Google Display Network.

The Google Display Network includes millions of websites, apps, and videos where your ads can appear. You can target your display campaigns using topics, interests, demographics, and remarketing lists.

3. Video Campaigns: Video campaigns let you show skippable or non-skippable video ads on YouTube and across the web on the Google Display Network.

You can use video targeting options like topics, interests, demographics, and remarketing lists to reach your target audience with your video ad.

4 . Shopping Campaigns: Shopping campaigns let you promote products from your online store on Google search results pages and across the web on the Google Display Network.

When someone searches for a product that you sell, your ad will appear with information about your product (such as price and photo) as well as a link to your website where they can buy the product. You’ll need to set up a Merchant Center account and submit product data before you can run shopping campaigns.

What are the Types of Google Experiments?

Google is constantly experimenting with new features and redesigns. Some of these experiments are small and go unnoticed, while others are major changes that have a significant impact on users.

Here are some of the most notable Google experiments that have been conducted over the years:

1. The Google doodle: This experiment was designed to test whether users would notice if the Google logo was slightly different each day. The results showed that people did indeed notice the changes, but it had no impact on their overall satisfaction with the search engine.

2. The blue link experiment: In this test, Google removed all links from its search results page and replaced them with blue text.

The goal was to see if users would still be able to find what they were looking for without the links. It turns out that people were just as successful in finding what they needed, even without the links.

3. The black bar experiment: For this test, Google removed all branding from its homepage, including the logo, search box, and navigation bar.

The only thing that remained was a black bar at the top of the page. This test was conducted to see if users would still be able to use the site without any familiar landmarks or cues. Surprisingly, people were still able to navigate their way around without any problems.

4. The white space experiment: In this experiment, Google increased the amount of white space on its homepage by removing some of the text and images. The goal was to see if this would make it easier for users to find what they were looking for or if it would just be confusing. It turns out that people found it just as easy to use despite the change in layout.

5. The yellow labelling experiment: For this test, Google placed yellow labels next to certain organic listings in its search results pages. These labels indicated which results were paid advertisements and which ones were not. The goal of this experiment was to see if users would trust these labelled results more than they trust unlabelled ones (which are often assumed to be ads).

However, there didn’t seem to be any difference in how trustworthy users found these labelled results versus unlabelled ones – meaning that labels aren’t necessarily helpful in increasing user trust.

How Do I Do Ab Testing on Google Ads?

What is AB Testing? AB testing, also known as A/B split testing, is a method of comparing two versions of a web page to see which one performs better. The “A” version is the original version of the web page, while the “B” version is the new version with slight changes.

These changes could be anything from a different headline to a different call-to-action button colour. To conduct an AB test on Google Ads, you’ll first need to create two separate ads within the same ad group. Then, you’ll need to set up your experiment by determining which ad will be shown to which visitors (this is called traffic splitting).

Once your experiment is running, you can then analyze the results to see which ad performed better. If you want to learn more about AB testing and how to do it on Google Ads, check out this helpful article from WordStream.



If you want to run Google Ads experiments like a pro, there are a few things you need to keep in mind. First, make sure you have a solid understanding of your goals and what you want to achieve with your experiment. Second, create a plan for your experiment and make sure you stick to it.

Finally, track your results and analyze them so you can learn from your mistakes and improve your campaigns.

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