In order for you to understand what user messages experiment is, weβll first acquaint you with the subjects of ad blocking recovery messages and experiments in Google Ad Manager. Both combined let you test on a small scale if the applied abovementioned solution against ad blockers is right for you!
Messages to protect your ad revenue
Publishers often face the challenge of dealing with the negative impact of ad blockers. Fortunately, Google Ad Manager provides a solution to mitigate revenue losses. By implementing an ad blocking recovery message, publishers can encourage visitors to disable ad blockers on their sites. To learn more about this topic, you can get familiar with our article on ad blocking recovery. But if you ask yourself a question: βWhat is an ad blockerβ and want to get more in-depth knowledge about that matter, youβll find answers in our article βHow to increase ad revenue by preventing ad blockingβ. Whatβs worth noting is that Google Ad Manager allows you to conduct user message experiments on a portion of your traffic for a specified duration to determine whether this approach is useful in your particular case. The user message experiment is set differently than the rest of the GAM experiments, which is why we prepared a separate guide for it β yet all of them are worth learning about!
Prepare for a GAM experiment:
- After signing in to Google Ad Manager, go to βPrivacy & messagingβ;
- From there, select βAd blocking recoveryβ and then pick βTaggingβ;
- To add the βad blocking recovery tag codeβ to your website, copy the code and paste it between the
<head>and</head>tags in your site’s HTML code.
How to set up an experiment on ad blocking recovery messages:
- Sign in to Google Ad Manager, go to βPrivacy & messagingβ;
- Now, find the card for the experiment you are currently setting, which should be located under βMessagesβ;
- Choose βCreate messageβ, and under βAdd your sitesβ, pick βAdd siteβ, then choose settings that best suit your needs. After that, click βConfirmβ;
- You can also change or include languages under the βSelect languageβ section and make other decisions regarding your message. After checking all the settings, proceed and choose βContinueβ;
- Name your message;
- Itβs time to set up your message, choose your preferences under the βSet upβ section;
- If you want to change the appearance of your message, click βStylingβ and select your desired options;
- Now itβs time to βSet up experimentβ β after clicking it, choose βCreate experimentβ;
- Choose a name for your test and decide on all the necessary settings, including its timeframe for it;
- Now, click βSaveβ, and thatβs all for now!
Check how the experiment is going:
- After signing in to Google Ad Manager, go to βPrivacy & messagingβ and then choose a card with the message type;
- Now, you are able to see how your test is going. Under βStatusβ. You will see one of the following five:
- βScheduledβ β your test hasnβt started yet and will be carried out on a different date;
- βExperimentingβ (or running) β a test hasnβt ended yet; after clicking the status, and you will be redirected to the Experiments dashboard;
- βPausedβ β your message is currently not being shown to your audience;
- βCompletedβ β a test has come to an end, if you click it, you will be automatically redirected to the Experiments dashboard. If you wish, you can click βPublishβ and make it available for all of your traffic. However, itβs better to wait until you see the final results. We describe how to check them in the next paragraph;
- βPublishedβ β your message can now be visible to all of your audience using ad blockers.
Decide on the future of your GAM experiment
After at least a week of running your experiment, itβs time to decide what to do next. To see your options, follow these steps:
- Sign in to your Google Ad Manager account;
- Go to βOptimizationβ and then to βExperimentsβ;
- Here, you are able to see the final results of your test. Before concluding your experiment, make sure to carefully analyze the results to determine if they are satisfactory. If the results are inconclusive, it may indicate that there is no difference between the control and variation groups. If you check this section within the first seven days of data collection, you may see that there is not enough data available to show results;
- Now, you can either:
- βKeep controlβ β after choosing it, your test will be stopped;
- βPublish variantβ β after selecting it, your message is going to be applied to all of your traffic.
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