Apple App Analytics is a great toolkit for measuring the performance of your iOS app regarding impressions, installations, traffic sources, deletions, to name a few. What's great about this usage analytics is that it is available natively for all iOS apps without any additional installation.
How to access Apple App Analytics?
Just sign in to
App Store Connect and navigate to App Analytics. Only users with the Account Holder, Admin, Finance, or Sales role in App Store Connect can access this toolkit.
Overview & Key Metrics
The Overview tab provides a high-level overview of data tied to your app’s performance over varying time periods. App data is represented in the form of percentages, graphs, and charts just like other App Analytics tools.
Eight key metrics in brief:
- Impressions: The number of times your app has been viewed on the App Store. This metric includes Product Page Views.
- Product Page Views: The number of times your app's product page has been viewed on devices running iOS 8 or later.
- App Unit: The number of first-time app downloads made on the App Store on devices running iOS 8 or later. App updates, downloads from the same Apple ID onto other devices, and re-downloads to the same device are not counted. Family Sharing downloads are included.
- Conversion Rate: App Units / Unique Device Impressions. For example, if your app was viewed on the App Store on 100 devices and downloaded 50 times, your conversion rate for the selected period is 50%.
- Sales: The total amount billed to customers for purchasing your app.
- Sales Per Paying User: Your app’s total sales / your app’s total number of paying users for the selected period.
- Sessions Per Active Device: The number of times your app was opened for at least two seconds / the number of active devices for your app in the selected period. For example, if your app was opened 100 times, and you have 10 active devices for the same period, then your Sessions Per Active Device ratio is 10.
- Crashes: The total number of crashes on devices running iOS 8 or later.
Besides different graphs for key metrics, the Overview tab gives a general view of metrics by territory, device, and source.
- Territory: The App Store as determined by the customer’s billing address.
- Device: iPhone or iPad.
- Source: The source from which a customer tapped a link to your App Store product page to view your app or download it for the first time.
At the bottom of the page is a section for
Retention, which tracks the usage of your app over time.
Metrics
The Metrics tab lets you monitor all available metrics. You can add a filter by clicking 'By Date' and selecting a dimension. You can also make use of the Add Filter button to filter by dimensions such as Platform Version, Region, or Source Type.
There are three groups of metrics:
- App Store: Metrics about App Store presence.
- Sales: Metrics about sales performance.
- Usage: Metrics about user engagement.
Sources
It's important to find out which app discovery channel works best for you to optimize your app marketing strategy. The Sources tab allows you to view where the users discover your app over varying time periods.
User acquisition sources include:
- App Store Browse: Customers viewed your app or tapped to download it for the first time while browsing the App Store, outside of searches.
- App Store Search: Customers viewed your app or tapped to download it for the first time from search the App Store.
- App Referrer: Customers tapped a link in an app that brought them to your App Store product page.
- Web Referrer: Customers tapped a link from a website that brought them to your App Store product page.
- Unavailable: Source type is unavailable because customers download your app prior to App Analytics starts tracking source attribution.
Retention
Retention measures the usage of your app over time. It shows the percentage of users who continue using your app over a given time period. For example, if your app was first downloaded on 100 devices on Jan 1st, and 10 days later, on Jan 10th, 30 devices are still active with at least one session, then the retention rate on Jan 10th will be 30%.
The error Not Enough Data may exist if there is not enough data to be able to show data to you without the possibility of providing identifiable information by correlating the information provided with information gleaned from exports of the data in Analytics.