Hi everyone, We’re experiencing an issue with App Store Connect → Sales & Trends (Sales) → Last 24 Hours (hourly) reporting, specifically for In-App Purchase (IAP) sales. On January 30–31, 2026, when checking Last 24 Hours sales data, we consistently see IAP sales drop to 0 starting around 18:00 UTC, as if no purchases happened after that time. However, we can confirm that IAP transactions did occur during the same time window using other validation sources (e.g., server-side logs / analytics). In App Store Connect, those hours still show 0. I did a quick search and found reports of similar behavior affecting downloads/units for some teams, but in our case downloads/units look normal in Last 24 Hours. The problem appears to be only in the IAP sales portion. Questions: Is anyone else seeing hourly gaps / 0 values for IAP around Jan 30–31, 2026 (or today)? Is this a known Sales & Trends reporting delay that eventually backfills, or an ongoing issue? If you’ve seen this before, how long did it take to normalize/backfill, and did any specific check/filter help?

We have changed app icon a while ago, it displayed correctly on distribution page and on other pages - with an exception of analytics - https://appstoreconnect.apple.com/analytics No matter what time range is selected it still displays old icon. Can I make something with it? It's been more then a year and it's definitely not a cache issue.

Hey there, I'm building a service that requires receiving accurate sales/proceeds data along with the campaign name. From reading the documentation it looks to be fairly understandable, but in practice it is not. I have been testing this for almost a week, and I never got "Detailed Report" for "App Store Purchases Detailed" analytics report. The same report for "App Downloads Detailed" is arriving normally, but not to for the purchases. I tested for two different apps where I have around 200 daily installs and 30 purchases on each. I would love to get any thoughts on this from an Apple engineer!

Hey all, It's been now a few weeks since we started to help clients connect to their App Store Analytics API. I'm starting to notice that very often we'll see things like: Small data gaps. Eg. I have data on June 1, no data on June 2-4, and then data from June 5 to now Big data gaps. Eg. I'd have data on Jan 2024, but not on Feb-Mar 2024, then there's data again from April 2024 onwards. The actual files from Apple are like that we're not doing any treatments whatsoever. That's happening on both ONGOING and ONE_TIME_SNAPSHOT I also opened a Customer Support case and sent the files over 10 days ago, but no definitive answer so far. Are you also seeing gaps like this on your data? Any tips/recommendations?

Hey there, I'm building a service that requires receiving accurate app downloads and sales/proceeds data along with the campaign name. From reading the documentation it looks to be fairly understandable, but in practice it is not that straightforward. For example, I received the first one-time-snapshot detailed report for the App Store Purchases, and it contains partial data for several days. Shouldn't that be a full report of everything in analytics for like last year or so? Should I expect it to be updated and extended in the coming days? For the ongoing detailed report, I have not received anything yet, but I'm afraid it might have partial data as well. I will report here as well.

I am planning to build a service that automatically pulls Apple reports and stores them in my database. I was able to successfully retrieve the APP_USAGE report from the Analytics API; however, while it initially generated daily reports for a couple of days, the daily report generation subsequently stopped. The weekly and monthly reports are generated normally. I also checked the readReportRequest response, and the StoppedDueToInactivity field is returned as false. And also, when I compared the monthly reports between the API and the web console, the data does not match. Does anyone have a solution to this issue, or is there a recommended or updated approach for handling this?

I am planning to build a service that automatically pulls Apple reports and stores them in my database. I was able to successfully retrieve the APP_USAGE report from the Analytics API. It initially generated daily reports for a couple of days, but then the daily report generation stopped. The weekly and monthly reports continue to generate normally. I also checked the readReportRequest response, and the StoppedDueToInactivity field is returned as false. And also, when I compared the monthly reports between the API and the web console, the data does not match. Does anyone have a solution to this issue, or is there a recommended or updated approach for handling this?

Logging out: The platform logs people out super quickly (e.g. within like a couple of hours), it would be great to be able to stay logged in within the same day and not have to log back in every time. Latency: In general, it can be really slow to load, and sometimes pages fully load without anything on them. The team then has to refresh the page for e.g. dashboards to be shown Submission of PPO & In-app events: PPO tests and in-app events can only be submitted on the latest version, which means that you need to wait for a period when we're not having a new version of the app reviewed. If this is regularly the case, it's difficult to submit. Sometimes you then submit e.g. an in-app event, but it takes a while and the review is removed in favour of an app update. Solution: The whole thing should follow a similar process to CPPs whereby you don't need to upload to the latest version, or you should be able to select which app version you're uploading to and be able to select the latest. Rather than having to delete and build again every time. Pricing updates: The amount of time that it takes to change pricing is insane and results in a reluctance to make price changes. There are a number of ways that this could be improved: a) Don't only allow us to select prices from a drop down list. This process adds like 3 extra clicks to every single price change. Just make the prices editable (e.g you can type) in a list, Google Play Console does this very well. b) For promotions, allow us to set e.g. "20% off the default price" and then when we make pricing updates to the default price the promotional price will update automatically. Instead currently we have to go in and manually calculate 20% off every single price based on the new price and update it ourselves, it's crazy. Reporting on promotions: Currently, there is no ability to see a time series of conversions with specific promotions with configurable date ranges, you can just see the total redemptions up to a certain date. This means we're manually having to look at the number of redemptions up to a certain date and then if we wanted to see a daily breakdown we'd need to look at ever date in isolation and calculate the increase in number of redemptions.

I was using the Download Sales and Trends Reports API (GET https://api.appstoreconnect.apple.com/v1/salesReports), but at some point, the results started not displaying properly. (The reason for this is that all the +sales values ​​aren't showing up in the CSV file.) Below, I'll show you how to use the API in Python with a screenshot. (***** elements are hidden.) If anyone knows why, please let me know.

Regarding the “App Store Downloads” Analytics Report, I have submitted a report generation request with accessType: ONE_TIME_SNAPSHOT. Reference: https://developer.apple.com/documentation/analytics-reports/app-download I would like to confirm the scope of the Campaign data included in the report generated by this request. In the App Store Connect UI, I understand that there is an upper limit of 200 Campaign entries displayed. For the report output, however, could you please confirm whether it includes all Campaigns measured on the App Store Connect side? Or is there also any upper limit on the number of Campaign records included in the report itself?

Hi everyone! When I attempt the Post Request using Postman, as shown in my attached curl, I receive the error "{ "errors": [ { "status": "405", "code": "METHOD_NOT_ALLOWED", "title": "The request method is not valid for the resource path.", "detail": "The request method used for this request is not valid for the resource path. Please consult the documentation." } ] }". I have constructed the JWT correctly as an admin with correct private Key and Unix Times and I am able to send regular GET requests without issue and I can view the dashboards in App Store Connect. The described POST request is being rejected, although it says so in the documentation: https://developer.apple.com/documentation/appstoreconnectapi/post-v1-analyticsreportrequests. Curl: curl --location 'https://api.appstoreconnect.apple.com/v1/analyticsReportRequests' --header 'Content-Type: application/json' --header 'Authorization: Bearer XXX' --data '{ "data": { "type": "analyticsReportRequests", "attributes": { "accessType": "ONGOING" }, "relationships": { "app": { "data": { "type": "apps", "id": "XXXXXXXXXX" } } } } }' (using ONE_TIME_SNAPSHOT makes no difference) Is this a documentation error ? I'd be happy to hear about a fix.

Hi, I am diving in App Store Connect analytics / sales and trends and I can't find an accurate way to measure / calculate lifetime value (LTV) of users based on different cohorts? I also can't find accurate retention data as there is no data populated in the retention graph. It seems that retention is only based on users that have "opted in." This is the message I see: "Installations and Active Devices only include data from users who have agreed to share their diagnostics and usage information with app developers. In the last day, 27% of all users that installed "App Name" agreed to share their data." Am I missing something? Is there a way I can calculate / see user LTV and/or all user retention? Or is there a third party tool that can provide / calculate accurate LTV / retention?

Hi everyone, I’m currently unable to view crash logs in Xcode Organizer for any of the apps in my account. When I try to access crash reports, I receive the following error: "An error occurred preventing Xcode from downloading version information from App Store Connect. An unexpected error occurred: [<__NSDictionaryM> valueForUndefinedKey:]: this class is not key value coding-compliant for the key [App Name] [Version] (iOS App)." The error message references an app name and version that were previously used. Notably, the original app name included an @ symbol (e.g., @ExampleApp). We suspected this might be contributing to the issue, so we updated the app name to remove the symbol. However, the error persists and still references the old name. Has anyone experienced something similar or found a workaround? Any guidance would be greatly appreciated! Thanks in advance.

Hi! Earlier, I created a report using the appstore api, and it contained WEEKLY and DAILY data. However, I have now created a report for a new app, and after almost a month, it does not have DAILY granularity. How can I obtain it?

Hi! Earlier, I created a report using the appstore api, and it contained WEEKLY and HOURLY data. However, I have now created a report for a new app, and after almost a month, it does not have HOURLY granularity. How can I obtain it?

We fetch the App Store Analytics – App Installs & Deletions (Daily) report via the Analytics Reports API and land each delivery into S3. The rows we ingest contain fields like Date, Event, Download Type, Counts, and Unique Devices. We’re trying to compute for example Installations and First-time downloads so our warehouse totals match the App Store Connect UI exactly, but our counts are consistently higher when we aggregate (with filter conditions being the same). Questions: (1) Official dedupe/versioning approach: What's the recommended approach to avoid double counting across API deliveries and to match the UI exactly? If later deliveries can revise past dates, what field(s) or process should we rely on to decide which records to keep for a given Date? (2) Completeness window: For daily data, is the recommended approach to publish rolling values that may change for a few days, or waiting until dates are considered “complete” before reporting? Any best-practice guidance would be helpful. Thanks!

I am following the Downloading Analytics Reports guide which consists of five steps: request the ONGOING report generation for the app once list all analytics report requests for the app list all analytics reports based on the analytics report request id :x: list all analytics report instances based on the analytics report id list all segments of the analytics report instance to get the download url I can only complete the third step which returns a list of all available reports. However when I continue with step four, the request for the analytics report instances returns with a response code 200 but the data array is always empty: I am using the Home Screen Widget Installs report but this is also happening for other reports Also changing or omitting the filter doesn't change anything { "data": [], "links": { "self": "https://api.appstoreconnect.apple.com/v1/analyticsReports/{reportId}/instances?filter%5Bgranularity%5D=DAILY" }, "meta": { "paging": { "total": 0, "limit": 50 } } } What could be the reason that the data array is empty and how can I fix it because there is no error message?

Hi Guys, I tried using ChatGPT for help with this but it keeps hallucinations incorrect instructions so hoping you can help- using the App Store Connect data on things like retention, what is the best way to see: • Since the launch of my app, % of users who drop on day 2 since installing the app, % of users who drop on day 3 since installing the app, etc. • Of users who downloaded the app in May 2025, how many have used it in in October 2025 • Of users who downloaded the app in June 2025, how many have used it in in October 2025 Note also that I don’t have any other BI tools integrated to the app. The only data available to me is what comes in App Store Connect already. Thanks!

We have recently ingested data using the App Store Connect API for: App Store Discovery and Engagement App Store Downloads I'm unable to match figures from fairly basic reports and I can't understand where I'm going wrong. For example: Running figures from App Store Connect > Analytics > Metrics > Product Page Views, with no filters, for a given date (e.g. 1 July 2025) - I get a completely different figure (smaller, almost half the volume) than when I try to use the data from the App Store Discover and Engagement report for the same date. For reference, I am looking at the sum of counts when event = Page view and page type = Product page. It's a similar thing for First-Time Downloads. Am I missing something obvious?

Dear Apple Developer Support, I hope this message finds you well. I am a game developer looking to integrate Game Center into our game. Before proceeding, I would like to understand the analytical capabilities available post-integration. Specifically, I am interested in tracking detailed metrics such as: The number of new player downloads driven by Game Center features (e.g., friend challenges, leaderboards, or achievements). Data on user engagement and conversions originating from Game Center interactions. I have explored App Store Connect’s App Analytics but would appreciate clarification on whether Game Center-specific data (e.g., referrals from challenges or social features) is available to measure growth and optimize our strategies. If such data is accessible, could you guide me on how to view it? If not, are there alternative methods or plans to incorporate this in the future? Thank you for your time and assistance. I look forward to your response. Best regards, Bella