When you run multiple CPP experiments across apps and storefronts, the CPP Experiments dashboard becomes your central place for monitoring performance in one view. This article walks you through the layout, how to use filters, and how to manage experiments efficiently at scale.
Columns
Each table entry shows the key details you need at a glance, including experiment setup, primary metric, status, and progress. You can also use the Deltas toggle to compare performance across variations and open Show Analytics to explore deeper insights for any experiment. For more guidance on interpreting results, see 📖 CPP A/B Experiments: Understanding Your Results and Making a Decision.
Summary Cards
At the top of the dashboard, four summary cards give you a quick snapshot of your entire experiment portfolio.
CPP Testing Coverage: shows the percentage of CPPs that have been tested compared to your total CPP set. This helps you understand how many testing opportunities are still available.
Running: shows how many experiments are currently active. If any require attention, you’ll also see a health alert indicator here.
Completed: shows how many experiments have finished, including those with defined winners and recently completed tests.
Scheduled: shows how many experiments are planned to start in the future.
Filters
The dashboard includes several filters to help you focus on what matters most.
Status Filter
Use the All experiments dropdown to filter by status, such as Running, Completed, Scheduled, or Stopped.
App Filter
Use the All apps dropdown to view experiments for a specific app. You can search by name or select from the list and apply the filter.
Storefront Filter
Use the All storefronts dropdown to filter by country. Storefronts are grouped by region, and you can search or browse the available options.
Search
The search field lets you quickly find any experiment by name, which is especially useful when managing large accounts.
Working With Multiple Experiments In The Dashboard
When managing several experiments, follow this workflow step by step:
🔹 First, start with the summary cards to quickly identify where attention is needed, including running experiments with health alerts and completed experiments ready for review.
🔹 Second, use the status filters to narrow your view to active or finished experiments, depending on your goal.
🔹 Third, use the Deltas toggle to quickly spot meaningful performance differences without opening each experiment.
🔹 Fourth, apply app and storefront filters when you want to focus on specific products or markets.
🔹 Fifth, use the CPP Testing Coverage card to understand how much of your CPP inventory has been tested and to identify product pages that still haven’t been included in experiments, with this percentage increasing as your testing coverage grows over time.
Next Steps
Now that you know how to manage experiments at scale, explore the most common questions in the FAQ.
Next article: FAQ: CPP A/B Experiments