Connect Hotmart to Superset: Dashboards in Minutes

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Hotmart
Superset

Visualize Hotmart Data in Superset

How do you turn Hotmart sales records into clear charts inside Superset? With Kondado, you simply add Hotmart as a data source and select Superset as your destination. Our platform replicates your marketplace and subscription data directly into Superset via a Kondado connection, which means no complex setup, no intermediate databases, and no coding needed.

You decide how frequently your information refreshes, whether every 5 minutes or once a day, so your dashboards always reflect the latest subscriber activity and revenue trends. Marketing and operations teams can finally track course sales, commissions, and student progress in one central place.

Kondado offers a direct connection between Hotmart and Superset with 11 available pipelines and 202 fields, letting you replicate data on a configurable schedule without intermediate databases.

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

With your Hotmart data flowing into Superset, you can build custom dashboards that answer real business questions without relying on spreadsheets. Combining the Subscribers pipeline with Subscription Transactions helps you spot churn patterns and predict monthly recurring revenue, while the Hotmart Club: Student Progress pipeline lets you visualize course completion rates and identify exactly where students need extra support. These connected views turn raw marketplace data into actionable insights that marketing and operations teams use to improve retention, optimize creator commissions, and grow digital product sales.

Try out all the features for free for 14 days

Hotmart data available in Superset

11
available pipelines
202
extractable fields

Available integrations

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.
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.
See all available data →

Try out all the features for free for 14 days

How to create Hotmart dashboards in Superset

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

1
Add Hotmart Data Source

Log in to Kondado and add Hotmart as a data source by entering your account credentials. Choose the pipelines you want to replicate, such as Subscribers or Sales History, so your Superset workspace receives the exact fields you need.

2
Choose Superset Destination

Select Superset as your destination and let Kondado route your Hotmart data directly into your visualization environment. You can also send the same data to Power BI, Looker Studio, or Google Sheets if your team uses multiple tools.

3
Build Dashboards and Set Refresh

Open Superset to create charts and dashboards using your replicated Hotmart data, then set your preferred refresh schedule to keep reports updated automatically. Choose from intervals starting at 5 minutes up to daily, so your sales and subscriber insights stay aligned with your business rhythm.

Access Hotmart data in Superset 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!

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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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Hotmart > Airtable
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Hotmart > Alteryx
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Hotmart > Amazon Quicksight
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Hotmart > BIMachine
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Hotmart > Cortex
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Hotmart > Data Studio
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Hotmart > Geckoboard
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Hotmart > Grafana
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Hotmart > IBM Cognos Analytics
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Hotmart > Klipfolio
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Hotmart > Looker Studio
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Hotmart > Looker
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Hotmart > Metabase
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Hotmart > Microstrategy
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Hotmart > Pentaho
Power BI
Hotmart > Power BI
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Hotmart > Qlik Cloud Analytics
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Hotmart > Qlik Sense
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Hotmart > Qlik
QlikView
Hotmart > QlikView
Redash
Hotmart > Redash
Superset
Hotmart > Superset
Tableau
Hotmart > Tableau
BI TOTVS
Hotmart > BI TOTVS
Zoho Analytics
Hotmart > Zoho Analytics
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Frequently Asked Questions (FAQ)

Answers about visualizing Hotmart data in Superset automatically

How do I connect Hotmart to Superset using Kondado? ▼
Start by adding Hotmart as a data source inside Kondado using your account credentials. Then select Superset as your destination and choose the pipelines you want to replicate, such as Subscribers or Sales History. Kondado handles the data transfer directly, so your chosen fields appear in Superset without any manual imports or engineering work.
What Hotmart dashboards can I build in Superset? ▼
You can create custom dashboards that track subscription growth, commission payouts, and student engagement across your digital products. For example, blend Sales History with Sales Price Breakdown to analyze revenue trends by product, or combine Hotmart Club data to monitor course completion rates. These views help marketing and operations teams decide where to invest next.
How often does Hotmart data update in Superset? ▼
You set the refresh schedule yourself, choosing intervals from every few minutes up to daily updates. This means your Superset charts stay current with your latest Hotmart sales and subscriber activity on a rhythm that matches your business needs. Automated updates remove the need to refresh information manually before every meeting.
Which Hotmart KPIs should I track in Superset? ▼
Focus on metrics like active subscribers, churn rate, average revenue per transaction, commission value by creator, and student module completion percentage. Tracking these KPIs in Superset gives you a single source of truth for your marketplace performance. Teams can quickly see which digital products are gaining traction and where student retention needs attention.
Do I need to build my own Hotmart dashboards in Superset? ▼
Yes, you design custom dashboards from scratch so they match your exact business priorities. Build charts that highlight the metrics your marketing and operations teams care about most, from subscription trends to sales commissions. This flexibility ensures your Superset workspace reflects your unique Hotmart business model without relying on generic layouts.
Can I share Hotmart dashboards with my team in Superset? ▼
Yes, once you build your dashboards in Superset, you can share them with colleagues so everyone sees the same updated numbers. Your team members can view subscriber trends, sales performance, and student progress without needing access to the original Hotmart account. This keeps marketing and operations aligned around one visual source of truth.
Can I send Hotmart data to other tools besides Superset? ▼
Absolutely. In addition to Superset, Kondado lets you replicate Hotmart data to Power BI, Looker Studio, Google Sheets, BigQuery, PostgreSQL, MySQL, Excel, Redshift, SQL Server, and Amazon S3. You can use the same data source setup to feed multiple destinations.
Is it hard to set up Hotmart to Superset without a developer? ▼
Not at all. Kondado uses a no-code approach, so you simply add Hotmart as a data source and select your destination without writing scripts or configuring servers. The entire process takes minutes, and your selected pipelines begin replicating data on your configured schedule.

Try out all the features for free for 14 days