Revenue Details
See sales and revenue over time, then connect changes back to real work.
See What Your App Earns and Where
Revenue Details uses your App Store Connect sales reports to show earnings over time. It helps you connect changes in revenue with releases, promotions, pricing experiments, and differences between markets.
You'll need a linked App Store Connect app, API credentials, and your vendor number in Settings. If those aren't configured, start with Settings.
Choose a Useful Period
Pick the date range you want to look at. The summary shows the main figures for that period, including total revenue, units, daily average, and the leading territory.
Use comparable periods when looking for a change. A launch weekend and an ordinary month can tell very different stories even before you change anything.
The chart below shows revenue over time. Look for patterns rather than treating every strong day as a new baseline. A longer view can help you see whether a spike was a one-off or part of a broader improvement.
Follow the Breakdowns
Territory, product-type, and device breakdowns show where the total comes from. This is handy when the overall number changes but you don't yet know why.
For example, a promotion might bring more sales in one country while the rest of the app's business stays steady. The total alone would hide that.
Where the reports support them, additional insights cover areas such as subscriptions, commission tiers, promotional codes, pre-orders, and bundles.
Check Coverage Before Drawing Conclusions
Refresh brings in available reports, and cached results can stay visible while updates arrive. Read any notices about report coverage or missing currency information before assuming the total includes everything.
Use Diagnostics if a report request fails or the figures need a closer look. It can help track down a setup or reporting problem without guessing at the cause.
Record important releases and price changes in Journal, then compare this view with App Analytics over the same dates. Revenue tells you the outcome; the other data helps you understand what may have contributed.