Connect Shopify to Redash: Dashboards in Minutes

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Shopify
Redash

Visualize Shopify Data in Redash

Kondado makes it simple to replicate your Shopify store data directly into Redash without any technical setup or intermediate databases. You can access 17 different pipelines including orders, customers, and inventory information to build comprehensive dashboards that help you make faster business decisions. The connection runs on a configurable schedule, updating your visualizations every 5 minutes, hourly, or daily based on your specific business needs.

Marketing and operations teams can track sales performance, monitor abandoned carts, and analyze customer behavior through intuitive charts and graphs that refresh automatically. With 505 fields available across all pipelines, you have complete flexibility to create custom reports that show exactly the metrics your team needs to optimize ecommerce operations and drive revenue growth.

Kondado provides a direct integration between Shopify and Redash, replicating 17 pipelines with 505 fields to enable automated dashboard updates without coding requirements.

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

Combining Shopify data with Redash visualization capabilities gives you powerful insights into your ecommerce performance without complex technical work. By analyzing the Abandoned Checkouts pipeline alongside Orders and Customers data, you can identify patterns in lost sales and create targeted recovery campaigns that bring shoppers back to complete their purchases. Track which products sit in carts longest, segment customers by purchase history, and monitor discount code effectiveness to optimize your marketing spend and improve conversion rates. Operations teams benefit from visualizing inventory levels against sales velocity using the Inventory Items and Orders Line Items pipelines, ensuring you never miss a revenue opportunity due to stockouts.

Try out all the features for free for 14 days

Shopify data available in Redash

17
available pipelines
505
extractable fields

Available integrations

Integration Description
Abandoned Checkouts View data on abandoned checkouts, including total value, items in the cart, and abandonment date.
Customers Track customer information, including name, email, status, and account creation date.
Events Log important events, including event type, date, and details associated with each event.
Inventory: items Monitor item inventory, including SKU, available quantity, and product location.
Order timeline events Analyze order timeline events, including status, date, and actions taken during processing.
Orders Examine order details, including order number, total value, status, and creation date.
Orders Details Get detailed information about orders, including items, prices, quantities, and applied discounts.
Orders Discount Applications View how discounts were applied to orders, including discount type and value.
Orders Discount Codes Access information on discount codes used in orders, including code and discount value.
Orders Fulfillments Monitor the status of order fulfillments, including fulfillment date and shipping method.
Orders Line Items Includes information on products, quantities, and prices, along with fields such as SKU, product title, and applied discount.
Orders Note Attributes Contains custom attributes associated with orders, such as customer notes, tags, and additional fields that assist in identification.
Orders Refunds Records information about refunds, including amounts, reasons, and status, along with fields such as refund date and method used.
Orders Shipping Lines Provides details on shipping options, including carrier, shipping cost, and estimated delivery time.
Orders Transactions Includes data on financial transactions, such as amounts, payment methods, and payment status, along with timestamps.
Orders Visits UTM Parameters Captures information on order visits, including UTM parameters such as source, medium, and campaign for marketing analysis.
Products Contains details about products, including title, description, price, SKU, and images, along with information on variants.
Abandoned Checkouts
View data on abandoned checkouts, including total value, items in the cart, and abandonment date.
Customers
Track customer information, including name, email, status, and account creation date.
Events
Log important events, including event type, date, and details associated with each event.
Inventory: items
Monitor item inventory, including SKU, available quantity, and product location.
Order timeline events
Analyze order timeline events, including status, date, and actions taken during processing.
Orders
Examine order details, including order number, total value, status, and creation date.
Orders Details
Get detailed information about orders, including items, prices, quantities, and applied discounts.
Orders Discount Applications
View how discounts were applied to orders, including discount type and value.
Orders Discount Codes
Access information on discount codes used in orders, including code and discount value.
Orders Fulfillments
Monitor the status of order fulfillments, including fulfillment date and shipping method.
Orders Line Items
Includes information on products, quantities, and prices, along with fields such as SKU, product title, and applied discount.
Orders Note Attributes
Contains custom attributes associated with orders, such as customer notes, tags, and additional fields that assist in identification.
Orders Refunds
Records information about refunds, including amounts, reasons, and status, along with fields such as refund date and method used.
Orders Shipping Lines
Provides details on shipping options, including carrier, shipping cost, and estimated delivery time.
Orders Transactions
Includes data on financial transactions, such as amounts, payment methods, and payment status, along with timestamps.
Orders Visits UTM Parameters
Captures information on order visits, including UTM parameters such as source, medium, and campaign for marketing analysis.
Products
Contains details about products, including title, description, price, SKU, and images, along with information on variants.

Try out all the features for free for 14 days

How to create Shopify dashboards in Redash

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

1
Add Shopify as data source

Select Shopify from the available data sources in your Kondado account and authenticate with your store credentials to establish the connection.

2
Select Redash destination

Choose Redash as your visualization destination and configure which Shopify pipelines you want to replicate, such as Orders, Customers, or Inventory Items.

3
Build dashboards and set schedule

Create your visualizations in Redash using the replicated data and set your preferred update frequency to keep reports current automatically.

Access Shopify data in Redash 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 Shopify 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 Shopify data in Redash automatically

How do I connect my Shopify store to Redash using Kondado?
Start by selecting Shopify as your data source in Kondado and authenticate with your store credentials. Then choose Redash as your destination and select which pipelines you want to replicate, such as Orders, Customers, or Abandoned Checkouts. The setup requires no coding and takes just a few minutes to configure your preferred update schedule.
What Shopify dashboards can I build in Redash?
You can create custom dashboards showing sales funnels, customer cohort analysis, inventory turnover, and marketing attribution using UTM parameters. Visualize abandoned cart recovery rates alongside completed orders to identify revenue opportunities, or build customer lifetime value reports by combining purchase history with demographic data. These visualizations help marketing and operations teams spot trends quickly and make data-driven decisions.
How often does my Shopify data update in Redash?
Kondado lets you configure automated updates on a schedule that fits your business needs, ranging from every 5 minutes to daily intervals. You choose the frequency during setup and can adjust it anytime based on how rapidly your store data changes. This ensures your Redash dashboards always reflect current performance without manual refreshes or exports.
Which ecommerce KPIs should I track in Redash?
Focus on metrics like conversion rate, average order value, customer acquisition cost from the Orders and Orders Visits UTM Parameters pipelines, and cart abandonment rate from Abandoned Checkouts. Track inventory turnover using the Inventory Items pipeline alongside sales velocity from Orders Line Items to optimize stock levels. You can also monitor refund rates and discount code performance to understand their impact on profitability.
Are there pre-built Shopify report templates for Redash?
Kondado does not provide pre-built report templates for this connection, giving you complete flexibility to design dashboards that match your specific business questions. You build custom reports in Redash by selecting from the 17 available pipelines and 505 fields to visualize exactly the metrics your team needs. This approach ensures your dashboards focus on the KPIs most relevant to your store's unique operations.
Can I share Redash dashboards with my team?
Yes, once you build your dashboards in Redash, you can share them with team members through Redash's native sharing features and permission controls. Your colleagues can view the latest Shopify data without needing access to Kondado or your store admin. This makes it easy to distribute insights across marketing, operations, and executive teams for collaborative decision-making.
Do I need technical skills to set up the Shopify Redash connection?
No technical expertise is required to connect Shopify to Redash through Kondado, as the entire process uses a simple point-and-click interface. You do not need to write code, manage APIs, or configure databases to start replicating your store data. Business users can complete the setup independently and begin building visualizations within minutes.

Try out all the features for free for 14 days