What specific subscriber metrics can I extract from Apple App Store data?

You can access subscriber IDs, purchase dates, standard subscription durations, and proceeds reason codes through the Daily Detailed Subscriber Report. These fields enable cohort analysis and lifetime value calculations for your iOS applications.

How frequently can I update Apple App Store data in my warehouse?

Kondado updates Apple App Store data on a configurable schedule ranging from every five minutes to daily intervals. This flexibility allows you to balance data freshness with API rate limits based on your specific analytics requirements.

Can I correlate iOS app download history with subscription conversions?

Yes, by combining the Daily Downloads and Sales Report with the Daily Detailed Subscriber Report, you can analyze download spikes alongside subscriber acquisition. This correlation helps identify which marketing campaigns drive high-quality user registrations and revenue growth.

What insights does the Daily Subscription Events Report provide?

This pipeline includes event dates, subscription IDs, and proceeds reason codes that reveal why users cancel or renew subscriptions. You can use this data to identify churn patterns and optimize your retention strategies before revenue declines.

Which databases and BI tools support Apple App Store data replication?

You can send Apple App Store data to BigQuery , PostgreSQL , Power BI , Looker Studio , and Google Sheets . The platform also supports MySQL, Excel, Redshift, SQL Server, and Amazon S3 destinations.

How do I analyze promotional offer performance using Apple App Store analytics?

The Daily Summary Subscription Report includes promotional offer names alongside subscriber IDs and report dates. You can track which offers generate the most subscribers and calculate conversion rates across different promotional periods to optimize marketing spend.

What do I need to start replicating Apple App Store data?

You need valid Apple App Store API credentials to authenticate the data source connection. Once connected, you can select from the four available pipelines and configure your destination without writing any code.

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Connect Apple App Store Data for Analytics

Access comprehensive Apple App Store data including detailed subscriber metrics, download histories, and sales performance indicators. Replicate information on purchase dates, subscription durations, promotional offer effectiveness, and revenue generation directly from the Apple App Store API. Track user interactions through subscription events, analyze your iOS app download history alongside commercial performance metrics, and monitor standard subscription patterns to understand user engagement trends across your iOS applications.

Kondado’s direct integration with Apple App Store provides 4 distinct pipelines covering 115 fields, enabling comprehensive replication of subscriber data, sales reports, subscription summaries, and event tracking metrics.

Marketing teams can analyze promotional offer performance and subscriber acquisition trends to optimize campaign spend across different channels using daily summary data. Data analysts benefit from consolidated iphone app download history and revenue correlation studies across multiple apps in your portfolio, enabling comprehensive Apple App Store analytics. Operations teams monitor subscription health through daily event tracking, identify churn patterns using proceeds reason data, and calculate lifetime value from detailed subscriber reports to improve retention strategies, forecast revenue accurately, and make data-driven decisions about app development priorities.

The Kondado platform takes care of refreshing Apple App Store data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Apple App Store data in your report, spreadsheet, data warehouse, data lake, or database

Available Apple App Store Pipelines

The available Apple App Store pipelines deliver granular insights into your app store download history and subscription ecosystem performance. Extract the Daily Detailed Subscriber Report to analyze individual purchase dates and subscription durations for cohort analysis. The Daily Summary Subscription Report provides promotional offer name performance and subscriber ID tracking for marketing attribution. Use the Daily Downloads and Sales Report to monitor commercial performance through download volumes and revenue figures, while the Daily Subscription Events Report reveals user interaction patterns via event dates and proceeds reason codes to understand cancellation triggers. By combining these datasets, you can correlate download spikes with subscription conversions and identify which promotional periods drive the highest quality subscribers. With automated updates running on a configurable schedule from every five minutes to daily intervals, you can monitor KPIs continuously and respond rapidly to market changes.

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Available Apple App Store data

available pipelines

115

extractable fields

Available integrations

Integration	Description
Daily Detailed Subscriber Report	Includes metrics such as subscriber ID, purchase date, and standard subscription duration, allowing detailed analysis of subscription performance.
Daily Summary Subscription Report	Presents information such as report date, promotional offer name, and subscriber ID, facilitating an overview of subscriptions in summary.
Daily Downloads and Sales Report	Provides data on downloads, sales, and revenue generated, allowing analysis of the commercial performance of apps.
Daily Subscription Events Report	Includes metrics such as event date, subscription ID, and proceeds reason, helping to understand user interactions with subscriptions.

Daily Detailed Subscriber Report

Includes metrics such as subscriber ID, purchase date, and standard subscription duration, allowing detailed analysis of subscription performance.

Daily Summary Subscription Report

Presents information such as report date, promotional offer name, and subscriber ID, facilitating an overview of subscriptions in summary.

Daily Downloads and Sales Report

Provides data on downloads, sales, and revenue generated, allowing analysis of the commercial performance of apps.

Daily Subscription Events Report

Includes metrics such as event date, subscription ID, and proceeds reason, helping to understand user interactions with subscriptions.

See all available data →

Try out all the features for free for 14 days

How to visualize Apple App Store data in 3 steps

Connect Apple App Store to dashboards, spreadsheets, or databases — no code required.

Add Apple App Store data source

Connect your Apple App Store account by providing API credentials in the Kondado interface to establish the data source.

Select pipelines and destination

Choose from the four available pipelines such as Daily Downloads and Sales Report or Daily Subscription Events Report, then send your data to BigQuery, Google Sheets, or Power BI.

Analyze in dashboards, spreadsheets, or databases

Visualize your Apple App Store data in Looker Studio dashboards, explore metrics in Google Sheets, or query historical records in PostgreSQL tables to generate insights.

Try out all the features for free for 14 days