Dashboards in minutes

Connect Apple App Store to Power BI: Dashboards in Minutes

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Connect Apple App Store to Power BI

Kondado helps marketing and operations teams visualize Apple App Store performance directly in Power BI without writing code or managing complex infrastructure. You simply choose the Apple App Store as your data source, select Power BI as your destination, and start building reports with subscriber trends, download volumes, and revenue metrics. The connection runs through Kondado directly, which means you do not need intermediate databases, manual exports, or technical support to get started. Your data refreshes on a configurable schedule, so your dashboards always reflect the latest app performance and you can make confident decisions faster.

4
available pipelines
115
extractable fields
  • ✓No code, no spreadsheets
  • ✓Auto-refreshed data
  • ✓14-day free trial
Connect Apple App Store now →

Try out all the features for free for 14 days

Kondado connects Apple App Store to Power BI via a direct integration, offering four pipelines with 115 fields including Daily Downloads and Sales Report, Daily Detailed Subscriber Report, and Daily Subscription Events Report, with automated updates on a configurable schedule.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Try out all the features for free for 14 days

Available data

Apple App Store data available in Power BI

Each item below is automatically replicated by Kondado from Apple App Store into Power BI — no schema setup, no manual mapping.

4
available pipelines
115
extractable fields
∞
Auto-refresh

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.
Full docs on the wiki → Start free trial →

Try out all the features for free for 14 days

With your Apple App Store data flowing into Power BI, you can build custom views that reveal how users discover, purchase, and interact with your apps over time. The Daily Downloads and Sales Report helps you track revenue momentum and identify seasonal demand patterns, while the Daily Detailed Subscriber Report shows exactly when customers convert and how long they stay active. By combining the Daily Subscription Events Report with these other pipelines in Power BI, marketing and operations teams can spot churn signals early, optimize promotional campaigns, and align app store strategy with broader business goals for stronger growth.

Try out all the features for free for 14 days

How to create Apple App Store dashboards in Power BI

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect Apple App Store Data Source

Add Apple App Store to Kondado and authenticate your account to unlock the available pipelines. This establishes the direct integration so your app metrics can flow into your chosen destination.

2
Select Power BI Destination

Choose Power BI as your destination and pick the pipelines you want to replicate, such as Daily Downloads and Sales or Daily Subscription Events. Kondado then prepares your datasets for visualization without any intermediate storage.

3
Build Reports and Configure Refresh

Open Power BI to design custom reports using your Apple App Store datasets, then set your preferred update frequency in Kondado to keep insights current. Your dashboards will reflect the latest subscriber and sales data automatically.

Access Apple App Store data in Power BI and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

55pbx
55pbx
ActiveCampaign
ActiveCampaign
Google Ads
Google Ads
Amazon S3
Amazon S3
api4com
api4com
Apple App Store
Apple App Store
ASAAS
ASAAS
AWS CloudWatch Metrics
AWS CloudWatch Metrics
Azure Table Storage
Azure Table Storage
BigQuery
BigQuery
Bing
Bing
Bitrix24 CRM
Bitrix24 CRM
Bling!
Bling!
Blip (take)
Blip (take)
ClickUp
ClickUp
Clockify
Clockify
ContaAzul
ContaAzul
Criteo
Criteo
E-goi
E-goi
EADBOX
EADBOX
Exact Sales
Exact Sales
Facebook Ads
Facebook Ads
Facebook
Facebook
Fatura Simples
Fatura Simples
Freshdesk
Freshdesk
FTP
FTP
Google Analytics GA4
Google Analytics GA4
Google Cloud Storage
Google Cloud Storage
Google Play Store
Google Play Store
Google Search Console
Google Search Console
Google Sheets
Google Sheets
Granatum
Granatum
Hi Platform
Hi Platform
Hotmart
Hotmart
Hubspot
Hubspot
Huggy
Huggy
InfluxDB v1
InfluxDB v1
Infusionsoft (Keap)
Infusionsoft (Keap)
Instagram Ads
Instagram Ads
Instagram
Instagram
Jira
Jira
Linkedin
Linkedin
Loja Integrada
Loja Integrada
MailChimp
MailChimp
Mandrill
Mandrill
Mautic
Mautic
Meetime
Meetime
Mercado Libre
Mercado Libre
Meta Ads
Meta Ads
Microsoft Ads
Microsoft Ads
Microsoft Advertising
Microsoft Advertising
Mixpanel
Mixpanel
monday.com
monday.com
MongoDB
MongoDB
Movidesk
Movidesk
MySQL (& MariaDB)
MySQL (& MariaDB)
NectarCRM
NectarCRM
Notion
Notion
Nuvemshop (Tiendanube)
Nuvemshop (Tiendanube)
Olist Tiny
Olist Tiny
Omie
Omie
Oracle
Oracle
Pagar.me
Pagar.me
Pinterest Ads
Pinterest Ads
Pipedrive
Pipedrive
Pipefy
Pipefy
PipeRun
PipeRun
Ploomes
Ploomes
PostgreSQL
PostgreSQL
Pushwoosh
Pushwoosh
RDStation CRM
RDStation CRM
RDStation
RDStation
Recruiterbox
Recruiterbox
Salesforce Marketing Cloud (Exact Target)
Salesforce Marketing Cloud (Exact Target)
Salesforce
Salesforce
SenseData
SenseData
Shopify
Shopify
SQLServer
SQLServer
Stilingue
Stilingue
Superlogica
Superlogica
Sympla
Sympla
Taboola
Taboola
Tangerino
Tangerino
TikTok Ads
TikTok Ads
TikTok Organic
TikTok Organic
Tiny ERP
Tiny ERP
Toggl
Toggl
Tray
Tray
Trello
Trello
Twilio
Twilio
VNDA
VNDA
VTEX
VTEX
Wake Commerce
Wake Commerce
Webhook
Webhook
Wootric
Wootric
WordPress
WordPress
X Ads
X Ads
YouTube
YouTube
Zeeng
Zeeng
Zendesk Chat (Zopim)
Zendesk Chat (Zopim)
Zendesk
Zendesk

Visualize Apple App Store data in other BI tools

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

Airtable
Apple App Store > Airtable
Alteryx
Apple App Store > Alteryx
Amazon Quicksight
Apple App Store > Amazon Quicksight
BIMachine
Apple App Store > BIMachine
Cortex
Apple App Store > Cortex
Data Studio
Apple App Store > Data Studio
Geckoboard
Apple App Store > Geckoboard
Grafana
Apple App Store > Grafana
IBM Cognos Analytics
Apple App Store > IBM Cognos Analytics
Klipfolio
Apple App Store > Klipfolio
Looker Studio
Apple App Store > Looker Studio
Looker
Apple App Store > Looker
Looqbox
Apple App Store > Looqbox
Metabase
Apple App Store > Metabase
Microstrategy
Apple App Store > Microstrategy
Pentaho
Apple App Store > Pentaho
Power BI
Apple App Store > Power BI
Qlik Cloud Analytics
Apple App Store > Qlik Cloud Analytics
Qlik Sense
Apple App Store > Qlik Sense
Qlik
Apple App Store > Qlik
QlikView
Apple App Store > QlikView
Redash
Apple App Store > Redash
Superset
Apple App Store > Superset
Tableau
Apple App Store > Tableau
BI TOTVS
Apple App Store > BI TOTVS
Zoho Analytics
Apple App Store > Zoho Analytics

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Frequently Asked Questions (FAQ)

Answers about visualizing Apple App Store data in Power BI automatically

How do I connect Apple App Store to Power BI using Kondado? ▼
Inside Kondado, add Apple App Store as a new data source and authenticate your account credentials. Then select Power BI as the destination, choose the pipelines you want, and Kondado begins replicating your data. Within a short time, your app metrics become available as queryable datasets inside Power BI.
What KPIs can I track from Apple App Store in Power BI? ▼
You can monitor subscriber conversions, active subscription duration, download volumes, proceeds by region, and promotional offer performance. The Daily Summary Subscription Report gives you an overview of active offers and subscriber IDs, while the Daily Subscription Events Report helps you understand user interactions. These metrics help marketing and finance teams measure app growth and customer lifetime value.
How often does Apple App Store data update in Power BI? ▼
You decide the refresh frequency when configuring your connection in Kondado. Options range from every five minutes to daily intervals, depending on how closely you want to track app performance. This keeps your Power BI reports current without manual exports or spreadsheet updates.
Can I share Apple App Store dashboards with my team in Power BI? ▼
Yes, once you build your reports in Power BI, you can distribute them to stakeholders across marketing, operations, and leadership. Team members view the same refreshed data based on the permissions you define inside Power BI. This makes it easy to align everyone around a single source of truth for app performance.
What kind of custom dashboards can I build with Apple App Store data in Power BI? ▼
You can create subscriber growth dashboards, download funnel views, revenue by territory reports, and promotional campaign trackers. Because Kondado delivers four distinct pipelines with 115 fields, you have the flexibility to design visuals that match your specific business questions. Power BI then turns those fields into interactive charts that update automatically.
Do I need technical skills to connect Apple App Store to Power BI? ▼
No specialized technical knowledge is required because Kondado handles the direct integration behind the scenes. Business users can authenticate their Apple App Store account, select their pipelines, and send data to Power BI in just a few clicks. The process is built for marketers and operations managers who want fast access to app metrics without relying on engineering teams.
What Apple App Store metrics help analyze subscription churn in Power BI? ▼
The Daily Subscription Events Report includes event dates, subscription IDs, and proceeds reasons that reveal why users leave or downgrade. By visualizing these events alongside subscriber start dates from the Daily Detailed Subscriber Report, you can identify churn patterns and retention windows. This helps you adjust pricing, trials, or messaging before more users drop off.
Can I combine Apple App Store data with other sources in Power BI? ▼
Yes, you can blend your app store metrics with data from Google Sheets, BigQuery, or other platforms to see the full customer journey. For example, merging download data with advertising spend gives you a clearer picture of acquisition costs and return on investment. Power BI makes it simple to model these combined datasets in one report.

Try out all the features for free for 14 days