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In the process of App promotion, developers must pay attention to the data of user source, App purchase, sales, etc. to measure the performance of App, so as to adjust and optimize the promotion strategy. iTC App Analysis function in the background can show the data of each dimension of your App for developers to provide the basis for optimization without using third-party data analysis tools.
"App Analytics provides data on the number of App Store displays, product page views, App purchases, sales, installs, App usage, and more to help developers measure iOS and Apple tvOS user engagement, marketing campaigns, and revenue.
App Analytics contains metrics for 3 dimensions: App Store, Sales, and Usage. The "App Store" and "Sales" data are "pre-sales data" and are 100% displayed to developers in "App Analytics".
"The "Use" section is only for those users who are willing to share this data because Apple thinks it involves data related to the operation of the App and has privacy and security issues. The "Use" section is only for data provided by users who are willing to share this data.
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The data provided by the App Store is primarily from a device perspective, as users can browse content on the App Store without logging in to their Apple ID, but there is a need for statistics.
This data provides data on the number of times a product is displayed and the number of times a product page is viewed.
This is the number of times the App is viewed in the "Features", "Categories", various leader boards and "Search" sections of the App Store, including "Product Page Views".
It can be understood as the number of times the icon/title/shelf image is seen in the App Store (only 1 time is counted when these items are seen at the same time).
There is a checkbox for "Unique Devices" below "Displayed", if this option is checked, it means that the data of single device repeatedly viewing to a single App is removed here, which is mainly used to see approximately how many unique users have viewed their products in App Store on a daily/weekly/monthly basis (default 1 device = 1 user). App Store (default 1 device = 1 user).
The number of App Store views allows you to see how often users click through a section of the App Store to download an app, so you can see which section of the App Store converts better and is better suited for your app's display.
That is, the total number of times the App product page has been viewed. Click on the product icon/title/star/upload image, the page you enter is the "product detail page", and the users who view the "product detail page" usually mainly browse the product description, user reviews, etc.
Sales are viewed through App purchases, in-app purchases, and paid users. This part of data is mainly counted from the Apple ID, mainly because of Apple's security mechanism and ecological consideration.
Number of first-time App downloads from the App Store. App updates, downloads to other devices, and redownloads to the same device using the same Apple ID are not included in the number of downloads.
The number of Family Share downloads is included for free apps, but not for paid apps, where only the first purchase is counted as a purchase. When viewing the App Analytics data, you can mainly view "App Purchases", which is used to compare the recent downloads of the reference product with third-party/owned statistical tools.
"In-App Purchases" refers to the number of first-time purchases of in-app purchases made by users using their Apple ID.
Promotional price subscriptions and subscription renewals are included in this metric and are not counted as in-app purchases that are reinstated, whether on the same or a different device.
"Sales" refers to the total amount paid by users to purchase apps, app packages, and in-app purchases using their Apple ID.
The "Buy App Amount" only supports paid apps, and the "Buy App Package" only supports paid app packages, which may or may not exist at the same time.
"Paid users" refers to the number of users who have acted in the "Sales" module, where multiple purchases are counted as only one user.
If the product is free, and there is no set of paid products, no in-product purchase items, the "Sales" section and the "Paid Users" section are both empty.
The data in the "Usage" section is counted from both the "Device" and "Apple ID" dimensions, mainly because some of the data is based on the Apple ID (e.g., "Installed") and some of the data is based on the device (e.g., "App Usage"). (e.g., "Installed"), while some of the data is based on device (e.g., "App Usage").
"Installed" refers to the number of App installs, which includes aggregate data from user uninstallations and reinstallations, product updates, product restores (icon not deleted on desktop), Apple ID share re-downloads, family share downloads, etc. Each App downloaded and installed is counted as one install.
iOS does not have the concept of "download volume", and download is an action, which can be canceled during the process of App Store download and will be installed automatically after download. Therefore, only "purchases" and "installs" are counted. Since the number of installs is not 100%, there may be a situation that the number of "purchases" is greater than the number of "installs" shown in the backend of iTC.
It refers to the number of times users normally use the product for 2s or more, and it can also be differentiated from daily, weekly and monthly, which is approximately equal to the "user frequency"/"user open frequency" data of third-party statistical apps. From this data, you can also see how active the app is, whether users use the product seasonally, etc.
It refers to users who have used the product at least once within a certain period of time, that is, users who have opened the product at least 2s or more within a certain period of time ("active" does not mean users who are currently online); this statistical indicator is approximately equal to the "active users" of third-party statistical platforms.
This refers to the number of active users 30 days back from the current date, which can be interpreted as the number of active users for the last 30 days based on the current date.
The advantage over presenting statistics by each individual month is that here the 30 days are forward daily, allowing for better data ringing.
"Crash" refers to the total number of crashes of the App within a certain period of time, and product crash refers to the situation that users open the product and use it with flashback, abnormal exit, stuck and need to force to close.
The number of times an App is deleted from the user's device, where "times" is not the number of users who delete the App, and "delete" is not the same as "uninstall". If the App is "uninstalled", the text data will be retained and the icon will remain on the user's desktop, while if it is deleted, the icon on the desktop will be deleted together with the App text data.
If the user flashes out immediately after opening the app (less than 2s), the number of "app usage" is not counted, only the number of "crashes" is recorded.
This data is only available for iOS 12.3 and above and Apple TVOS 13.0 and above, as it is not available for lower versions.
There are two ways to get App Analysis, one is to view "App Analysis" in iTC backend, and you can also set to receive "App Analysis Weekly Email Summary" to view the top 20 apps. Here we show you how to check iTC backend.
The data displayed in "App Analysis" is limited to devices running macOS 10.14.1, iOS 8, Apple tvOS 9 or later. data from TestFlight Beta testing is not included.
iOS and Apple tvOS apps associated with each other through universal purchase are shown as a single app in App Analytics.
App suite usage and in-app purchase data is associated with the individual App in the App Suite, but does not include data from individual App sales and is based on the Apple ID of that individual App.
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