- Custom experiments are only available for Search, Display, Video, and Hotel Ads campaigns. You won’t be able to create an experiment for App or Shopping campaigns.
Before attempting to create an experiment, make sure the following deprecated ad types are removed from the base campaign:
- Text Ads
- Expanded Text Ads
Deprecated ad types cannot be created in the experiment.
- You can schedule up to 5 experiments for a campaign, but you can only run one experiment at a time.
- It may take some time for your experiment’s ads to complete the review process and to start running, depending on the size of your original campaign. You may want to schedule your experiment to begin in the future to prevent your experiment from beginning before your ads have been reviewed.
- You can decide what percentage of your original campaign’s budget that you want to allocate to your experiment. For Search campaigns, you can also split your experiment by a cookie-based split or a search-based split. These experiments can help you see which campaign version performs better. You can then decide if you want people to see only your experiment or your original campaign, or show people both randomly.
- In Display campaigns, we always use cookie splits to ensure that users only ever see the experiment or your original campaign.
- As your experiment runs, you can monitor its performance.
- Commissions per stay bid strategies are not currently supported.
- When using ad group default bids, be sure to update the bid value for each hotel group.
Keep in mind
If you make changes to your original campaign, those changes won’t be reflected on your experiment. Making changes to either your original campaign or experiment while your experiment is running may make it harder to interpret your results.
If you select the cookie-based split option, and you use audience lists, you should have at least 10,000 users in the list to run an experiment. If you have less users than that, your results may be less accurate.
Set up a custom experiment
- In your Google Ads account, click the Campaigns icon .
- Click the Campaigns drop down in the section menu.
- Click Experiments.
- Click the plus button at the top of the “All Experiments table” and select Custom experiment.
- Select Custom experiment(experiment with multiple campaign optimizations for any campaign) and click Continue.
- In the “Set up the experiment” section, enter the name of your experiment and description (optional). Your experiment shouldn’t share the same name as your campaigns and other experiments.
- Choose the original campaigns you want to test in your experiment. We’ll display the campaigns you selected and automatically create the experiments.
- Label your test campaigns with a suffix to differentiate it from the original campaigns. We’ll append the suffix to all of your test campaigns. For example, “Campaign 2 (Holiday_test)”.
- Click Continue to finish the setup of the experiment. The next page will let you make changes and schedule the experiment.
- To make changes to the experiment, select up to 2 goals to measure your success metric. For example, select “Clicks” and “Increase” for the first goal.
Note: These success metrics will be emphasized in the campaign report, however you will still see all of the other metrics as they are normally reported.
- In the “Experiment split” section, select the traffic and budget you want to split your experiment by. We recommend using 50% to provide the best comparison between the original and experiment campaigns.
- Select the “Advanced” options you want to use in the experiment:
- Cookie-based (recommended) randomly assigns users to either your experiment or original campaign and ensures that a given user only sees either the original or the experiment.
- Search-based randomly assigns users to either your experiment or original campaign every time a search occurs. If a user runs multiple searches, the same user could see both the experiment and your original campaign. This option may get statistically significant results faster than a cookie-based split.
- In the “Schedule the experiment” section, select the start and duration in “Experiment dates”. The program will determine the end date.
- Click Save to finish creating the experiments. Your experiment is now completed and ready to run.
In some instances, you may encounter an error when trying to create an experiment. Here are a few reasons why this could happen, along with steps you can take to fix these errors.
- Your original campaign has been removed: Try creating an experiment from a different campaign.
- Your original campaign already has a shared budget: Remove your campaign’s shared budget.
- Your original campaign already has an experiment running or scheduled during your selected dates: Try selecting dates that don’t coincide with another experiment.
- Your campaign has features that aren’t supported by experiments: Try selecting a different campaign to convert into an experiment. Learn which features aren’t supported by experiments.
- Keywords with policy issues were excluded: Some of the keywords in your original campaign violated our Google Ads policies and have not been copied to your experiment. You’ll need to find and edit your keywords before those keywords can be copied to your experiment.
What you can do when you're ready to end your experiment
If you’re happy with experiment results, you can apply your experiment to the original campaign or convert your experiment into a new campaign.
- If you apply your experiment to your original campaign, the changes you were testing in your experiment will be applied to your original campaign.
- After converting your experiment into a new campaign, be sure to check the resulting campaign to ensure all changes were properly applied.
In both instances, your experiment’s performance data will be preserved. Learn more about how to apply your experiment
If you prefer to simply end your experiment, you can do that by changing the end date of your experiment so it stops running at the close of the day. You can also click Edit in the upper-right corner of the page and select End now. Learn more about making changes to your experiments