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 a table that lists all variants and their performance metrics.
Metrics shown include:
- Impressions
- Tap-Through Rate (TTR)
- Conversion Rate (CR)
- Cost Per Tap (CPT)
- Average CPA
- Confidence Level badge
# If you want Apple Ads’ official definitions for these performance metrics, see Reporting Options and Definitions.
Pro Tip: A small preview of each custom product page helps you connect the product page creative to performance. To explore additional metrics, including custom or cohort-based KPIs, use the button next to the variant name to access a filtered view of the asset. This capability will allow you to adjust the performance metrics based on your specific needs.
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
Confidence level badges
Each variant shows a confidence level badge.
- Green badge: the variant reached the desired confidence (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 see the baseline (default product page) for comparison.
- Tooltips explain every 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, you can review metrics like impressions, CR, and TTR to choose the most promising option. A lack of a significant difference indicates the variants are likely to perform similarly over time.
The test does not guarantee one variant will outperform another. It is designed to ensure that, given your selected options, results are statistically reliable.
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!