How to monitor CPP A/B tests in the dashboard

You can monitor test progress and review performance in the CPP A/B Testing dashboard.

This article explains what you can see in the dashboard and how to use table view, chart view, and logs.

Where to monitor tests

Performance tab

The system opens this tab by default and shows the table view. A date picker is located on the right; it displays data for the period between test start and end dates, but you can widen or narrow the window as needed for extra context.

The dashboard lists each test with:

• Experiment name
• Test method (Switch or Parallel)
• Desired precision
• Start and end dates
• Status: Running, Completed, or Stopped

View variant performance (table)

When you expand a test, you can see the Benchmark Summary and a table that lists all variants and their performance metrics.

The Benchmark Summary shows the initial benchmark data used when the CPP A/B Test was created. This helps you compare current variant performance against the test’s starting point.

Metrics shown include:

• Impressions
• Tap-Through Rate (TTR)
• Conversion Rate (CR)
• Average CPT
• Average CPA
• Confidence Level badge
• Top Performer badge, when a variant is currently performing best for a specific metric

The Top Performer badge highlights which variant has performed best so far for each metric. A variant can be the top performer for one metric, such as CR, while another variant may perform best for a cost metric, such as Average CPA or Average CPT.

Switch between table view and chart view

You can switch between:

• Table view (a snapshot of variant metrics)
• Chart view (trends over time)

In chart view:

• Each variant is shown as a line.
• Use the metric dropdown to toggle between metrics such as CR, TTR, CPT, and others.

For Apple Ads’ standard reporting views, you can also review View Campaigns Dashboard Metrics and Use the Charts Dashboard.

Use logs to review test events

The dashboard includes Logs, which provide a full event history of the test.

Logs include two details:

• Date: When the event happened
• Action: Started, Completed, or Stopped

How do you interpret results and confidence badges 

Benchmark Summary

The Benchmark Summary displays the initial benchmark data used when the test was created. Use it as a reference point when evaluating how variant performance compares with the original benchmark throughout the test.

Confidence level badges

Each variant displays a confidence level badge.

• Green badge: The variant has reached the desired confidence level (statistically significant).
• Gray badge: The test is still collecting data for that variant.

Baseline comparison

To help you understand performance differences, the dashboard supports baseline comparison.

• Hover over metrics to compare them with the baseline (default product page).
• Tooltips explain each metric in plain language.

What should you do if there is no significant difference?

A test can end without a clear winner. If no variant clearly outperforms the others, review metrics such as Impressions, CR, TTR, Average CPT, and Average CPA to identify the most promising option. You can also use the Top Performer badges as a quick reference to see which variant is currently leading each metric.

A lack of a statistically significant difference indicates that the variants are likely to perform similarly over time. The test does not guarantee that one variant will outperform another; instead, it helps ensure that the results are statistically reliable based on your selected settings.

Related links

• What are the requirements and limits for CPP A/B Testing
• Test health and issue management in CPP A/B Testing
• Frequently asked questions about CPP A/B Testing

Need more help?

If you have further questions on the process, contact your dedicated Customer Success Manager or contact the support team via live chat!