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Visualizing your Hotmart data in Looker is simple with Kondado. You connect your Hotmart account as a data source, select Looker as your destination, and choose which information to replicate. Kondado handles the transfer directly through a Via Kondado connection, which means you do not need intermediate databases, complex scripts, or technical support to start building reports in Looker. Business teams can access subscription trends, commission breakdowns, and student engagement metrics without writing any code, making it easy to turn sales and education data into clear visual insights.
Kondado lets you replicate Hotmart data directly into Looker on a configurable schedule, with update frequencies ranging from every 5 minutes to daily, giving business teams automated access to subscription, sales, and student progress data for faster decision-making.
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With your Hotmart information in Looker, you can combine the Subscribers pipeline with Sales Commissions to see which subscription plans generate the most affiliate revenue. The Hotmart Club: Student Progress pipeline lets operations teams monitor completion rates across courses, while the Sales History pipeline helps marketing teams identify seasonal buying patterns and top-performing products. By bringing these datasets together in Looker, you create unified reports that show the full customer journey, from first purchase to student engagement, helping your team spot growth opportunities and optimize pricing strategies without manual data preparation.
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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.
Inside Kondado, add Hotmart as a new data source and authenticate with your account credentials to grant access to your sales and subscription information. This makes the eleven available pipelines visible so you can choose exactly what to replicate.
Choose Looker from the destination list and configure your connection settings so Kondado knows where to deliver your replicated Hotmart data. You can also send the same information to Google Sheets or BigQuery if your team uses multiple reporting tools.
Open Looker and start building custom reports using your Hotmart Subscribers, Sales History, and Hotmart Club data. Return to Kondado to choose how often your data updates, from every 5 minutes to daily, keeping your reports current automatically.
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Try out all the features for free for 14 days