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Kondado makes it easy to visualize Hotmart data in QlikView using a direct Via Kondado connection that requires no intermediate databases or technical setup. Business users simply select Hotmart as their data source, choose QlikView as the destination, and set their preferred update frequency. Marketing and operations teams can then explore subscriber trends, commission breakdowns, and product performance through intuitive QlikView reports that support faster, data-driven decisions.
Kondado connects Hotmart to QlikView through a direct Via Kondado connection, offering 11 pipelines and 202 fields that let business users replicate subscription, sales, and Hotmart Club data on a configurable schedule for automated reporting.
With automated updates available every 5 minutes, hourly, or daily, your QlikView reports always reflect the latest marketplace activity without manual work. This means you spend less time preparing information and more time acting on insights that grow your digital product business.
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By combining Hotmart data in QlikView, you can build custom views that track exactly what matters to your business. For example, blending the Subscribers pipeline with Sales Commissions helps you see which subscription plans drive the most revenue and who earns commissions on each transaction. You can also cross-reference Hotmart Club: Student Progress with the Subscriber Purchases pipeline to understand how course completion rates influence repeat buying behavior. These connections turn raw marketplace records into practical intelligence, so marketing and operations teams can spot opportunities, adjust pricing, and improve student retention without waiting on technical support.
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| Integration | Description |
|---|---|
| Subscribers | Records of subscriptions include subscriber_code, subscriber_name, and status, allowing detailed analysis of active and canceled subscriptions. |
| Sales Commissions | Commission details include transaction, commission_value, and user_name, providing a clear view of commissions generated by each transaction. |
| Subscriber Purchases | Data on purchases includes subscriber_code, product_id, and price_value, allowing tracking of acquisitions made by subscribers. |
| Sales Price Breakdown | Detailed pricing information includes product_id, price_value, and price_currency_code, facilitating analysis of sales prices. |
| Sales History | Sales records include purchase_transaction, product_id, and request_date, allowing analysis of transaction history. |
| Hotmart Club: Students | Information about students includes subscriber_name, product_id, and status, allowing tracking of students' progress in the club. |
| Hotmart Club: Modules | Data on modules includes product_id, module_name, and completion_status, allowing analysis of students' progress in each module. |
| Hotmart Club: Student Progress | Progress records include subscriber_code, module_id, and completion_percentage, facilitating monitoring of students' performance. |
| Hotmart Club: Pages | Information about pages includes page_id, access_count, and last_access_date, allowing analysis of student engagement. |
| Products | Product data includes product_id, product_name, and price_value, allowing detailed analysis of the available product portfolio. |
| Subscription Transactions | Records of subscription transactions, including fields such as transaction code, product ID, and commission value. |
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Visualize your data automatically — no spreadsheet exports or custom scripts.
Log in to Kondado and add Hotmart as a new data source by entering your account credentials and selecting the pipelines you want to replicate. You can choose from subscriber records, sales commissions, Hotmart Club progress, and more to bring into QlikView.
Select QlikView as your destination and define how the data should be structured inside your reports. If your team also uses Power BI or Looker Studio, you can set up additional destinations later for the same source.
Open QlikView to create custom reports using your replicated Hotmart data, then return to Kondado to set an automated refresh schedule. Pick intervals such as every 5 minutes, hourly, or daily to keep your dashboards current without manual work.
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Try out all the features for free for 14 days