Monitor your experiments

View your experiment’s performance

1. In your Google Ads account, click the Campaigns icon .
2. Click the Campaigns drop-down in the section menu.
3. Click Experiments.
4. Find and click the experiment that you want to check performance for.
5. Review the 'Experiment summary table' and scorecard, then choose to Apply experiment or End experiment.

What the scorecard shows

• Performance comparison: This shows the dates for which your experiment's performance is being compared to the original campaign's performance. Only full days that fall between your experiment's start and end dates and the date range you've selected for the table below will show. If there is no overlap, the full days between your experiment's start and end dates will be used for 'Performance comparison'.
• By default, you’ll notice performance data for Clicks, CTR, Cost, Impressions and All conversions, but you can select the performance metrics you want to view by clicking the down arrow next to the metric name. You’ll be able to choose from the following:
  • Clicks
  • CTR
  • Cost
  • Avg. CPC
  • Impr
  • All conv. (available only if you’ve set up conversion tracking)
  • Conv. rate (available only if you’ve set up conversion tracking)
  • Conversions (available only if you’ve set up conversion tracking)
  • Cost/conv. (available only if you’ve set up conversion tracking)
  • View-through conv. (available only if you’ve set up conversion tracking)
• The first line below each metric name shows your experiment’s data for that metric. For example, if you notice 4K below 'Clicks', that means your experiment’s ads have received 4,000 clicks since it began running.
• The second line shows an estimated performance difference between the experiment and the campaign.
  • The first value shows the performance difference your experiment saw for that metric when compared to the original campaign. For example, if you notice +10% for Clicks, it’s estimated that your experiment received 10% more clicks than the original campaign. If there’s not enough data available yet for the original campaign and/or the experiment, you’ll notice '‑‑'.
  • The second value shows that if you chose a 95% confidence interval then, this is the possible range for the performance difference that might exist between the experiment and the original campaign. For example, if you notice [+8%, +12%], it means that there might be anywhere from a 8% to 12% increase in performance for the experiment when compared to the campaign. If there’s not enough data available yet for the original campaign and/or the experiment, you’ll notice '‑‑'. You can pick your own confidence intervals (80% is the default confidence interval) and be able to understand your experiment metrics better with dynamic confidence reporting.
  • If your result is statistically significant, you’ll also find a blue asterisk.

What you can do in the scorecard

• In the scorecard, you can change the metric you find using the drop-down next to the metric.
• To review the scorecard for ad group in the experiment, click an ad group from the table below.
• To view details like the name and budget of a campaign, hover over the corresponding cell in the table.

Understand the time series chart

The time series chart displays the performance of up to two metrics in your experiment and shows how they've changed over time in both treated and control campaigns. With this chart, you can compare the effects that your experiments have on a particular metric and learn more about how it performs over time.

What happens when you pause or remove Performance Max experiment campaigns

You can pause or end your control or treatment campaign at any time. To restart a paused experiment, simply use the 'Resume' button to resume the campaigns or manually reactivate the campaigns.

• Pausing campaigns:
  • If you pause either the control or treatment campaign, the experiment will be paused. 100% of the traffic will go to the remaining campaign that's active.
  • If you pause both the control and treatment campaign, the experiment will be paused.
  • Experiment status on end date:
    • If the experiment reaches the end date, the Performance Max syncer will change Performance Max experiment status to 'ended' or 'launched' regardless of auto-apply. However, if the experiment result is good and auto-apply is turned on, the auto-apply pipeline will auto-graduate the 'ended' experiments afterwards.
    • If the experiment reaches the end date and the auto-apply is turned off, you’ll need to apply the changes manually.

• Removing campaigns:
  • If you remove the control or treatment campaign, 100% of the traffic will go to the remaining campaign that's active.
    • If you only remove the control campaign, the experiment will be launched.
    • If you only remove the treatment campaign, the experiment will end.
  • If you remove both the control and treatment campaign, the experiment will end.

Apply or end an experiment

To apply an experiment on a campaign or end an experiment for any reason, click the 'Apply' or 'End' button in the lower-right corner of the 'Experiment summary' card above the time series chart.

Review or edit a campaign comparable to an existing Performance Max campaign

During the experiment, you’ll need to manually edit comparable campaigns, otherwise Google will choose the comparable campaigns for you. After the experiment has ended, you’ll be unable to add or remove your comparable campaigns.

• View results alongside comparable campaigns: To determine how your experiment performs compared to similar campaigns, enable the View Results with Comparable Campaigns toggle in Google Ads reporting.
• Edit comparable campaigns (until experiment ends): You have complete control over which campaigns are considered comparable throughout the experiment. Simply edit your selections within your Performance Max experiments. If you don't manually choose comparable campaigns, Google will automatically select them for you. Once the experiment ends, you won't be able to add or remove comparable campaigns from the results.