Dashboards in minutes

Connect Hotmart to Qlik Cloud Analytics: Dashboards in Minutes

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Connect Hotmart to Qlik Cloud Analytics

Kondado makes it simple to turn your Hotmart sales and subscription information into clear charts and dashboards inside Qlik Cloud Analytics. You connect Hotmart as a data source, select Qlik Cloud Analytics as your destination, and choose which pipelines to replicate for your business needs. The platform handles the data preparation automatically, so your marketing and operations teams can focus on analyzing course sales, commissions, and student progress without writing any code. Updates run on a configurable schedule, which means your reports stay current as new transactions and subscriptions come in.

11
available pipelines
202
extractable fields
  • No code, no spreadsheets
  • Auto-refreshed data
  • 14-day free trial

Try out all the features for free for 14 days

With Kondado, you get a direct integration between Hotmart and Qlik Cloud Analytics that delivers 11 data pipelines and 202 fields, including Subscribers, Sales History, and Hotmart Club progress, with no intermediate databases or complex setup required.

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

Hotmart data available in Qlik Cloud Analytics

Each item below is automatically replicated by Kondado from Hotmart into Qlik Cloud Analytics — no schema setup, no manual mapping.

11
available pipelines
202
extractable fields
Auto-refresh

Available integrations

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.

Try out all the features for free for 14 days

When you bring Hotmart data into Qlik Cloud Analytics, you can finally see the complete picture of your digital product business. By combining the Subscribers pipeline with Sales History and Hotmart Club: Student Progress, you can track how subscription trends relate to course completion rates and overall revenue. Marketing teams can identify which products drive the most recurring sales, while operations teams monitor student engagement across modules to improve content and retention. These insights help you decide where to invest in new courses, adjust pricing strategies, and optimize your creator marketplace performance without relying on manual spreadsheets.

Try out all the features for free for 14 days

How to create Hotmart dashboards in Qlik Cloud Analytics

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

1
Connect Hotmart as data source

Add Hotmart as a data source by entering your credentials, then choose the pipelines you want to replicate for your reports. Kondado prepares the data automatically so it is ready for visualization.

2
Pick Qlik Cloud Analytics destination

Choose Qlik Cloud Analytics as your destination to start receiving your selected Hotmart datasets. This creates a direct path from your digital product sales to your analytics environment without intermediate steps.

3
Build dashboards and set refresh

Open Qlik Cloud Analytics and use your replicated Hotmart data to build custom reports that track sales, subscriptions, and student progress. Set your preferred refresh schedule in Kondado to keep dashboards updated automatically.

Access Hotmart data in Qlik Cloud Analytics 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!

Visualize Hotmart data in other BI tools

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

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Frequently Asked Questions (FAQ)

Answers about visualizing Hotmart data in Qlik Cloud Analytics automatically

How do I set up Hotmart as a data source in Kondado?
Start by adding Hotmart as a data source in your Kondado account and provide your API credentials to authenticate the connection. Once connected, you can browse the available pipelines and select the ones you want to replicate into Qlik Cloud Analytics. The entire setup takes just a few minutes and requires no coding or technical assistance.
What kind of custom dashboards can I build with Hotmart data in Qlik Cloud Analytics?
You can build reports that monitor course sales trends, subscription growth, commission breakdowns by affiliate, and student progress across Hotmart Club modules. Combining subscriber status with purchase history helps you identify which products generate recurring revenue and which content keeps students engaged. These custom dashboards turn raw marketplace data into visual stories that guide your business decisions.
How often does Hotmart data update in my Qlik Cloud Analytics reports?
Kondado lets you set a configurable schedule for automated updates, with options ranging from every 5 minutes to daily intervals. You choose the refresh rate based on how actively you need to monitor sales and student activity. This keeps your Qlik Cloud Analytics dashboards aligned with your latest Hotmart transactions without any manual imports.
Which KPIs should I track when analyzing Hotmart sales and subscriptions?
Focus on metrics such as active subscriber count, cancellation trends from the Subscribers pipeline, average transaction value from Sales Price Breakdown, and module completion rates from Hotmart Club: Student Progress. Tracking these numbers helps you understand customer lifetime value and content effectiveness. You can also monitor commission totals to evaluate affiliate and partner performance.
Can I share Hotmart dashboards with my team inside Qlik Cloud Analytics?
Yes, Qlik Cloud Analytics includes collaboration features that let you share reports with marketing, operations, and finance stakeholders. Your teammates can interact with the same Hotmart data visualizations to explore trends and filter results by product or time period. This ensures everyone works from a single source of truth when planning campaigns or reviewing revenue.
What Hotmart data can I replicate to Qlik Cloud Analytics?
You can replicate datasets that cover subscriber records, sales transactions, commission structures, product catalogs, and detailed Hotmart Club learning activity. This includes information on subscription status, purchase dates, module completion, and page access patterns. Having all this data in Qlik Cloud Analytics allows you to correlate revenue events with student engagement metrics.
Can I send Hotmart data to other destinations besides Qlik Cloud Analytics?
Yes, Kondado supports multiple destinations, so you can also send your Hotmart data to Power BI, Looker Studio, Google Sheets, or BigQuery. This flexibility lets different teams use the platforms they prefer while working from the same replicated information. You might use one tool for executive summaries and another for detailed operational tracking.

Try out all the features for free for 14 days