Connect Pagar.me to Data Studio: Dashboards in Minutes

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Pagar.me
Data Studio

Visualize Pagar.me Data in Data Studio

Visualizing your Pagar.me data in Data Studio is simple with Kondado. You connect your Pagar.me account as a data source, select Data Studio as your destination, and start building charts in minutes. There is no need for complex setup, manual exports, or intermediate databases, so business teams can focus on insights instead of technical configuration.

Kondado provides a direct connection that replicates Pagar.me data to Data Studio on a configurable schedule, with eight available pipelines covering 344 fields including Customers, Charges, Orders, and Receivables.

With automated updates running every 5 minutes, hourly, or daily, your reports always reflect the latest transactions and customer activity. Marketing and operations teams can track sales performance, monitor outstanding receivables, and analyze customer behavior without writing any code. This means faster decisions, clearer visibility into your payment data, and more time to optimize your business strategy.

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

By combining Pagar.me with Data Studio, you can turn complex payment information into clear visual reports. For example, you can blend the Charges pipeline with the Customers pipeline to see exactly who is buying, how much they spend, and when they convert. This helps marketing teams identify top customer segments and helps operations teams spot trends in daily sales volume.

You can also use the Receivables pipeline to build cash flow reports that show upcoming payouts and pending balances. When you add the Orders pipeline into the same report, you get a complete view from checkout to settlement. These insights make it easier to plan inventory, adjust campaigns, and manage working capital with confidence.

Try out all the features for free for 14 days

Pagar.me data available in Data Studio

8
available pipelines
344
extractable fields

Available integrations

Integration Description
Customers Includes information such as customer name, email, and status, along with address and phone data like area code and number.
Customers: Cards Records card details including brand, expiration date, and status, along with cardholder name and card digits.
Customers: Addresses Contains address data such as city, state, and country, along with creation date and address status.
Charges Includes information on charges made, such as amount, date, and status, along with details of the associated customer.
Balance Operations Records operations related to balance, including operation type, amount, and transaction date.
Orders Contains details of orders placed, such as total amount, status, and creation date, along with customer information.
Recipients Includes information about recipients, such as name, document, and status, along with creation and update data.
Receivables Contains information about receivables, including amount, due date, and status, along with details of the associated customer.
Customers
Includes information such as customer name, email, and status, along with address and phone data like area code and number.
Customers: Cards
Records card details including brand, expiration date, and status, along with cardholder name and card digits.
Customers: Addresses
Contains address data such as city, state, and country, along with creation date and address status.
Charges
Includes information on charges made, such as amount, date, and status, along with details of the associated customer.
Balance Operations
Records operations related to balance, including operation type, amount, and transaction date.
Orders
Contains details of orders placed, such as total amount, status, and creation date, along with customer information.
Recipients
Includes information about recipients, such as name, document, and status, along with creation and update data.
Receivables
Contains information about receivables, including amount, due date, and status, along with details of the associated customer.

Try out all the features for free for 14 days

How to create Pagar.me dashboards in Data Studio

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

1
Connect Pagar.me to Kondado

Log in to Kondado and add Pagar.me as a data source by entering your API credentials. Choose the pipelines you want to replicate, such as Charges, Orders, or Customers, and confirm your setup.

2
Select Looker Studio as Destination

In the destination settings, choose Looker Studio and authorize your Google account to establish the link. Your selected Pagar.me data will then flow directly into your reporting environment without any complex configuration.

3
Create Reports and Set Refresh Schedule

Open Looker Studio and use your available Pagar.me fields to create charts that track sales, receivables, and customer trends. Then head back to Kondado to set a refresh schedule that keeps those reports updated automatically.

Access Pagar.me data in Data Studio 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 Pagar.me 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 Pagar.me data in Data Studio automatically

How do I connect Pagar.me to Data Studio using Kondado?
Log in to Kondado and add Pagar.me as a new data source by entering your API key. Next, select Looker Studio as the destination and authorize your Google account to establish the link. Once configured, Kondado begins replicating your data on the schedule you choose, and your fields become available for reporting within minutes.
What reports can I build with Pagar.me data in Data Studio?
You can build custom reports that track payment conversion, outstanding receivables, and customer cohort behavior. For example, blending the Charges and Customers pipelines lets you visualize repeat purchase rates, while combining Orders with Balance Operations helps you reconcile daily settlements. These reports give operations and finance teams a shared view of cash flow and sales performance.
How often does Pagar.me data update in Data Studio?
You control the refresh frequency inside Kondado and can adjust it as your business needs change. Options range from every few minutes up to daily intervals, so you can balance timeliness with reporting requirements. Once set, your Data Studio charts stay current without any manual exports or spreadsheet maintenance.
Which KPIs should I track when visualizing Pagar.me in Data Studio?
Focus on metrics like total processed volume, successful charge rates, average order value, and days to payout. Tracking these KPIs in Data Studio helps you identify seasonal trends, spot delayed receivables, and compare sales channels. You can also monitor customer card status and address data to reduce failed payments and improve checkout completion.
Are there report templates available for Pagar.me and Data Studio?
Kondado does not offer pre-built report templates for this connection, but you can easily create custom reports from scratch using the 344 available fields. Start with simple scorecards for daily sales and then add time-series charts for charges and receivables. Building your own reports ensures you see exactly the metrics that matter for your business model.
Can I share Pagar.me reports with my team in Data Studio?
Yes, once your data is in Looker Studio, you can share reports with teammates or clients just like any other Google workspace document. Set viewer or editor permissions so marketing, finance, and operations teams each see the relevant charts. This keeps everyone aligned on payment performance without sending static files back and forth.
Can I send Pagar.me data to other tools besides Data Studio?
Absolutely, Kondado supports multiple destinations so you can send Pagar.me data to Power BI, Google Sheets, BigQuery, or PostgreSQL alongside Looker Studio. Some teams prefer BigQuery for deeper analysis while keeping Looker Studio for executive summaries. You can also route data to MySQL, Excel, Redshift, SQL Server, or Amazon S3 depending on your workflow.

Try out all the features for free for 14 days