No-code pipeline · Apple App Store → BigQuery

Send data from Apple App Store to BigQuery

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From Apple App Store to BigQuery: managed, scheduled, no code.

Kondado replicates Apple App Store subscription events, download metrics, and sales data to BigQuery automatically on a user-configured schedule ranging from every 5 minutes to daily, requiring no engineering resources or API maintenance.

Connect Apple App Store now →

Send Apple App Store Data to BigQuery

Sending Apple App Store data to BigQuery requires a reliable pipeline that handles the complexity of iOS app metrics without burdening your engineering team. Kondado offers a direct integration that connects your Apple App Store account to BigQuery, enabling you to replicate subscription events, download statistics, and revenue data automatically. You configure the data source once, select from available pipelines covering subscriber activity and sales performance, and set your preferred update cadence. Data flows into your warehouse on a configurable schedule, eliminating manual exports and ensuring your analytics reflect current app performance.

With your App Store data in BigQuery, you can unify iOS metrics with marketing spend, user behavior from other platforms, or financial systems to create comprehensive dashboards that drive app growth decisions and optimize subscription revenue strategies.

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The Daily Detailed Subscriber Report and Daily Subscription Events Report provide granular visibility into how users interact with your iOS subscriptions, allowing you to analyze churn patterns, trial conversions, and revenue recognition directly within BigQuery SQL queries. By combining these subscriber insights with the Daily Downloads and Sales Report, you can correlate commercial performance metrics with advertising campaigns or seasonal trends to understand which marketing initiatives drive actual app store conversions, optimize your app store presence, and forecast recurring revenue with greater accuracy in your BigQuery environment.

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Replicated to BigQuery

Apple App Store data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipelines

115

extractable fields

BigQuery

Destination

Available integrations

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 → Send Apple App Store to BigQuery →

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How to send Apple App Store data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Apple App Store Account

Authenticate your Apple App Store data source in Kondado by providing your App Store Connect credentials and granting access to your sales and subscription reports.

Configure BigQuery Destination

Select BigQuery as your destination and specify the target dataset where your App Store metrics will be stored, ensuring your Google Cloud project has appropriate permissions configured.

Select Pipelines and Schedule

Choose from the four available pipelines including Daily Downloads and Sales Report or Daily Detailed Subscriber Report, then set your update frequency to replicate data automatically on your preferred schedule.

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Send data from Apple App Store to other destinations

Apple App Store > Looker Studio

Apple App Store > Power BI

Other visualizations

Apple App Store > Amazon S3

Apple App Store > BigQuery

Apple App Store > Excel

Apple App Store > Google Sheets

Apple App Store > MySQL

Apple App Store > PostgreSQL

Apple App Store > Redshift

Apple App Store > SQL Server

Choose a tool to visualize your Apple App Store data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Apple App Store > Airtable

Apple App Store > Alteryx

Apple App Store > Amazon Quicksight

Apple App Store > BIMachine

Apple App Store > Cortex

Apple App Store > Data Studio

Apple App Store > Geckoboard

Apple App Store > Grafana

Apple App Store > IBM Cognos Analytics

Apple App Store > Klipfolio

Apple App Store > Looker Studio

Apple App Store > Looker

Apple App Store > Looqbox

Apple App Store > Metabase

Apple App Store > Microstrategy

Apple App Store > Pentaho

Apple App Store > Power BI

Apple App Store > Qlik Cloud Analytics

Apple App Store > Qlik Sense

Apple App Store > Qlik

Apple App Store > QlikView

Apple App Store > Redash

Apple App Store > Superset

Apple App Store > Tableau

Apple App Store > BI TOTVS

Apple App Store > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Apple App Store data to BigQuery automatically

How do I connect Apple App Store to BigQuery without coding? ▼

Kondado provides a no-code interface where you authenticate your Apple App Store account and select BigQuery as your destination. The platform handles the API connections and schema mapping automatically, so you can start replicating subscriber reports and sales data within minutes without writing SQL or managing infrastructure.

What specific App Store metrics can I replicate to BigQuery? ▼

You can access four distinct pipelines covering Daily Detailed Subscriber Reports with individual subscription IDs and purchase dates, Daily Summary Subscription Reports for overview metrics, Daily Downloads and Sales Reports for revenue analysis, and Daily Subscription Events Reports tracking user interactions. These pipelines deliver 115 fields total, including proceeds data, promotional offer performance, and event timestamps for comprehensive app analytics.

How often does Apple App Store data update in BigQuery? ▼

Kondado updates your data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals depending on your business needs. This automated refresh ensures your BigQuery datasets stay current without manual intervention, allowing you to monitor app performance trends and subscription changes as frequently as required.

Can I combine Apple App Store data with other marketing sources in BigQuery? ▼

Yes, once your App Store data resides in BigQuery, you can join it with data from Google Sheets, advertising platforms, or CRM systems also connected to your warehouse. This unified approach enables cross-channel analysis where you can attribute app installs and subscription revenue to specific campaign activities tracked in other BigQuery datasets.

What format does Apple App Store data take in BigQuery datasets? ▼

Kondado replicates your App Store metrics into structured BigQuery datasets with predefined schemas that include proper data types for dates, currency amounts, and identifiers. Each pipeline creates separate datasets containing normalized records for subscribers, sales transactions, and subscription events, ready for immediate querying through standard SQL.

Do I need an Apple Developer account to replicate data to BigQuery? ▼

Yes, you must have access to an Apple Developer account with App Store Connect permissions to authenticate the data source and access your app's sales and subscription reports. The connection requires valid credentials with appropriate role access to download the detailed financial and usage metrics available through Apple's reporting APIs.

Can I send Apple App Store data to PostgreSQL or other databases besides BigQuery? ▼

Absolutely, while this page focuses on BigQuery, Kondado supports multiple destinations including PostgreSQL, MySQL, Redshift, and Amazon S3. You can configure the same Apple App Store pipelines to deliver data to whichever warehouse or database best fits your existing analytics infrastructure.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days