No-code pipeline · Apple App Store → Redshift

Send data from Apple App Store to Redshift

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

Kondado provides a direct integration between Apple App Store and Redshift, automatically replicating four distinct data pipelines containing 115 fields on schedules ranging from every 5 minutes to daily. The platform requires no coding and delivers structured subscription, sales, and event data directly to your Redshift cluster for immediate SQL analysis and business intelligence reporting.

Connect Apple App Store now →

Send Apple App Store Data to Redshift

To send Apple App Store data to Redshift, connect your App Store Connect account to Kondado and select the specific data pipelines your analytics require. Kondado handles the extraction and loading automatically, replicating your app metrics to Amazon Redshift on a configurable schedule that you control. This eliminates manual CSV exports and keeps your analytics warehouse current with subscriber events, download trends, and revenue data without engineering overhead.

Once configured, your Redshift database receives fresh App Store data automatically, enabling you to analyze subscription lifecycles, track promotional offer performance, and monitor daily revenue without manual intervention. This automated workflow ensures your business intelligence tools always reflect the latest iOS app performance metrics, allowing your team to make data-driven decisions faster.

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With the Daily Downloads and Sales Report pipeline, you can analyze commercial performance trends in Redshift to identify which apps drive the most revenue and track download velocity across different markets. The Daily Detailed Subscriber Report delivers granular subscription metrics that allow you to segment users by purchase date and subscription duration, enabling cohort analysis and churn prediction directly within your data warehouse. Additionally, the Daily Subscription Events Report captures user interactions and proceeds reasons, giving you the behavioral data needed to optimize conversion funnels and understand how promotional offers impact subscriber retention.

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Replicated to Redshift

Apple App Store data available for Redshift

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

available pipelines

115

extractable fields

Redshift

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 Redshift →

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How to send Apple App Store data to Redshift

Sync data automatically — no code, no manual exports.

Connect Your App Store Account

Authenticate your Apple App Store Connect credentials in Kondado to establish the data source and enable access to subscription metrics and download reports.

Configure Redshift Destination

Enter your Amazon Redshift cluster details including host, database name, and credentials to establish the target warehouse for your replicated data.

Select Pipelines and Schedule

Choose specific pipelines like Daily Subscription Events Report or Daily Summary Subscription Report, then configure your update schedule to send data to Redshift automatically.

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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 Redshift automatically

How often does Kondado update Apple App Store data in Redshift? ▼

Kondado replicates data on a configurable schedule that you set according to your business needs, with options ranging from every 5 minutes to daily intervals. This flexibility allows you to maintain near-real-time dashboards for active campaigns or reduce sync frequency for historical analysis, ensuring your Redshift cluster receives updates exactly when you need them without unnecessary API calls.

What specific App Store metrics can I analyze in Redshift? ▼

You can analyze 115 distinct fields across four pipelines including subscriber IDs, purchase dates, promotional offer names, proceeds reasons, and daily download counts. This comprehensive dataset enables you to build custom SQL queries tracking subscription conversion rates, revenue per user, and the effectiveness of in-app promotional campaigns directly in your warehouse.

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

Yes, Kondado connects 80+ sources allowing you to blend Apple App Store subscription data with advertising metrics from other platforms in your Redshift warehouse. You can correlate iOS download events with campaign performance data from Google Sheets or web analytics from BigQuery to build comprehensive attribution models that track the complete customer journey across touchpoints.

How is App Store data structured when it arrives in Redshift? ▼

Data arrives as structured datasets corresponding to each pipeline you select, with normalized schemas containing fields like subscriber IDs, event dates, and proceeds reasons ready for SQL querying. Each pipeline maintains consistent data types and relationships that allow you to join subscriber reports with sales data, enabling complex analysis without additional data cleaning or transformation work.

Do I need technical skills to set up the Apple App Store to Redshift connection? ▼

No coding is required to establish the connection, you simply authenticate your App Store Connect account and provide your Redshift cluster credentials through Kondado's interface. The platform handles the complex API authentication and schema mapping automatically, making it accessible for marketing analysts while still providing the technical flexibility that data engineers require for warehouse management.

What happens if Apple updates their App Store Connect API? ▼

Kondado manages all API maintenance and schema updates automatically, ensuring your data pipelines continue flowing to Redshift without requiring changes to your existing queries or reports. When Apple modifies field names or adds new metrics, the platform adapts the replication process to maintain data continuity, allowing your team to focus on analysis rather than technical maintenance.

Can I send Redshift data to visualization tools after replicating App Store metrics? ▼

Yes, once your App Store data resides in Redshift, you can connect the warehouse to Power BI, Looker Studio, or Google Sheets to create interactive dashboards. This workflow allows you to build custom reports combining iOS performance metrics with other business data, keeping stakeholders informed with automated visualizations that refresh on your configured schedule.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days