How do you use the Google Ads campaign drafts and experiments feature?

Started by 4wm3uoej, Jul 14, 2024, 10:21 AM

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How do you use the Google Ads campaign drafts and experiments feature?

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The Google Ads campaign drafts and experiments feature allows you to test changes to your campaigns before applying them to your actual campaigns. This feature can help you optimize your campaigns by comparing the performance of your original campaigns with the performance of your test campaigns.

Here's how to use the campaign drafts and experiments feature:

1. Sign in to your Google Ads account.
2. Click on the "Campaigns" tab.
3. Select the campaign you want to test.
4. Click on the "Drafts" tab.
5. Click on the "Create draft" button.
6. Make the changes you want to test in the draft campaign. You can change the ad groups, keywords, bids, ad copy, and other campaign settings.
7. Click on the "Experiments" tab.
8. Click on the "Create experiment" button.
9. Choose the percentage of traffic you want to allocate to the experiment. You can allocate up to 50% of the traffic to the experiment.
10. Choose the start and end dates for the experiment.
11. Click "Save" to create the experiment.

Once you've created the experiment, Google Ads will start serving the ads from the experiment campaign to a portion of the traffic. You can monitor the performance of the experiment campaign in the "Experiments" tab and compare it with the performance of the original campaign.

If the experiment campaign performs better than the original campaign, you can apply the changes to the original campaign by clicking on the "Apply" button in the "Experiments" tab. If the experiment campaign performs worse than the original campaign, you can discard the changes by deleting the draft campaign.

It's important to note that the campaign drafts and experiments feature is available for search, display, and video campaigns. You can create up to 50 drafts and 50 experiments per account. Additionally, it may take some time for the experiment to reach statistical significance, so it's recommended to run the experiment for at least a few weeks before making a decision.

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