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How To Do A/B Testing on Google Optimize?

How To Do A/B Testing on Google Optimize?

How To Do A/B Testing on Google Optimize?

Google Analytics Experiments will soon be deprecated and replaced with the new testing suite from Google called ‘Optimize,’ the free version of Optimize 360 that has native integration with Google Analytics. It allows for layout A/B testing, redirect tests, and multivariate tests (MVT). Small to medium-sized businesses just getting started with experimentation is recommended to make use of the platform.

For publishers who want to do a randomized experiment using two or more variants of the same web page to see which layout performs better, we recommend A/B testing. For example, a single page layout vs. a paginated one, Optimize will capture the performance for each variant per your objective and shall identify the leader (winner).

You may access Google Optimize directly by going to optimize.google.com. Next, you will need to log in with your Google Analytics credentials. You may also access it via Behavior > Experiments section of Analytics.

To begin with, A/B testing, click on “Create Experiment.”

Give your experiment a name, input the URL of the page you’re trying to test (i.e. variation), then select A/B test. Click on “Create.”

You might get a notification saying: “Some setup steps must still be completed” before you can begin running your experiment. Click on “Show steps” to see a guide on what to do next:

Click on “+ New Variant.:”

Give it a name and click “Add.”

Click on the “Targeting” which controls the number of users visiting your site that gets included in the experiment. Everyone else will see your original page. If you want quicker results, make sure to include a higher proportion visitors in the experiment. However, if your experiment is drastic and risky, you ought to include only a small percentage of your site’s visitors.

You may also edit the weight of visitors that will be exposed to the original vs. variant layout.

Set when you want to trigger the experiment. You may opt to evaluate on page load or a custom event. Choosing the latter may result in additional hits being sent to Google Analytics (learn more: https://goo.gl/rLatgk).

You can also select other conditions by clicking “+ Create Rule” which allows you to target precisely where and how your experiment will run.

To set up Objectives, you need to link an Google Analytics account.

Step 1: In Optimize, go to Main Menu > Accounts

Step 2: Select a container

Step 3: Click LINK PROPERTY, under in the Container information panel

Step 4: Select the relevant Google Analytics account

Step 5: Select one or more Analytics Views. Every Optimized experiment sends data to one Analytics view, and it will use that view’s goals/metrics for its experiment objectives. The view(s) selected here will be available when you set up your experiments in Optimize.

Step 6: Click ‘LINK’


Start your experiment!

Here’s an example of an experiment result:

In order to track Page RPM per variant, follow the steps below to track page views per variant:

Step 1: You’ll need to deploy KVP on DFP that would identify your variant (e.g. layout = ‘pizza’ for the original, layout = ‘icecream’ for the variant

Step 2: Deploy KVP on relevant pages you’d like to test:

E.g. googletag.pubads().setTargeting(‘layout’,’pizza’);

Step 3: Create a custom dimension e.g. ‘layout’ (see: http://support.google.com/analytics/answer/2709828)

Step 4: Deploy the code on the site

Step 5: On DFP, you’ll be able to run revenue report by key values, calculate them against the page views in Analytics, and you get the page RPM per variant.

 

Here at MonetizeMore we continuously run a range of tests and implement various ad optimization techniques to optimize our partner’s ad inventories. If you’d like to get access to our team of experts find our more about our Premium Publisher plan here.

 

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Kean Graham

CEO and Founder at MonetizeMore

Kean is the resident expert in Ad Optimization covering areas like Adsense Optimization, DFP Management, and third-party ad network partnerships. Kean believes in the supremacy of direct publisher deals and holistic optimization as keys to effective and consistent ad revenue increases.

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