---
title: How to monitor CPP A/B tests in the dashboard
description: Learn what you can see in the CPP A/B Testing dashboard and how to navigate the table, chart, and logs.
---
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# 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
**Note:** If you want Apple Ads’ official definitions for these performance metrics, see[Reporting Options and Definitions](https://ads.apple.com/app-store/help/reporting/0023-reporting-options-and-definitions).
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.
**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](https://ads.apple.com/app-store/help/reporting/0024-view-campaigns-dashboard-metrics) and [Use the Charts Dashboard](https://ads.apple.com/app-store/help/reporting/0025-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](https://helpcenter.mobileaction.co/en/what-are-the-requirements-and-limits-for-cpp-a-b-testing?hsLang=en)
- [Test health and issue management in CPP A/B Testing](https://helpcenter.mobileaction.co/en/keep-cpp-a-b-tests-healthy-and-fix-issues?hsLang=en)
- [Frequently asked questions about CPP A/B Testing](https://helpcenter.mobileaction.co/en/frequently-asked-questions?hsLang=en)
---
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