Run YouTube Ad Experiments

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The more you monitor YouTube campaign analytics, the more ideas you’ll get for improving your ads. With analytics and segmentation at every campaign level, you can get a pretty good idea of what is or isn’t working for a specific campaign. But how do you know which elements to apply to future campaigns?

With Google Ads’ experiments tool, you can test different creatives in your YouTube ads and compare the results against each other. Then you can collect definitive data on the kinds of videos that work best for your business, offer, and audience.

Note that the Google Ads experiments tool draws on your active campaigns. So before you set up an experiment, create at least two campaigns to test. The easiest way to do that is to build one campaign with the budget, audience targeting, and conversion tracking you want to use. Next, copy the campaign to carry over the settings.

You can test up to four campaigns in a YouTube ads experiment. But it’s important to note that this tool compares video creatives only. All other settings should be the same among all the campaigns. By comparing video creatives, you can answer questions like:

Does your audience respond better to short-form or long-form video ads?
Do voiceovers or interviews resonate better with your audience?
Does your audience prefer animated or live-action videos?
Do Google Ads’ video ad templates drive more conversions?
Once you’ve set up your test YouTube campaigns in Google Ads, go to the Experiments tab in the left-hand menu. Click to start a new test and choose the video experiment option.

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Then select the campaigns you want to test and give each a name.

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Google Ads automatically divides traffic evenly between all test campaigns and begins qatar mobile numbers listthe experiment on the earliest start date of all of the campaigns you’ve picked. It also designates a success metric automatically.

If you’re used to running A/B tests in Meta Ads Manager or LinkedIn Campaign Manager, note that Google Ads’ experiments tool works a little differently. Each test campaign has to get at least 100 conversions to deliver statistically significant results. Make sure you can estimate how long that will take so you know how long to run the test.

In addition, you’ll need to end the experiment once you have the data you need to declare a winner. You can use the analytics, reports, and dashboards we covered above to review the results. Then you can keep running the winning campaign and apply what you’ve learned to improve existing campaigns and optimize future campaigns.