How do I set up a Shopify connection to Looker Studio using Kondado?

Access the Kondado platform and add Shopify as a data source by entering your store credentials. Then select Looker Studio as your destination to begin automatically replicating the seventeen available pipelines.

What dashboards can I build with Shopify data in Looker Studio?

You can build abandoned checkout analysis panels, marketing campaign tracking through UTM parameters, sales conversion monitoring, and inventory control boards. The Orders, Customers, and Transactions pipelines allow you to visualize the entire ecommerce funnel in one environment.

How frequently does Shopify data update in Looker Studio reports?

Kondado offers automated updates on a configurable schedule, allowing you to choose intervals of five minutes, fifteen minutes, hourly, or daily. You set the timing according to your operations team's or marketing managers' analysis needs.

Which ecommerce KPIs should I track in Looker Studio?

Monitor abandoned cart recovery rates, customer acquisition costs through UTM parameters, average order value, discount margin applied, and average shipping processing time. The Orders Details and Orders Refunds pipelines help calculate retention and satisfaction metrics.

Can I share Shopify dashboards with my team?

Yes, after building your reports in Looker Studio , you can share access with sales leaders, data analysts, and other team members. Kondado keeps data updated automatically for all viewers.

Do I need technical skills to visualize Shopify data in Looker Studio?

No programming or database knowledge is required. The Via Kondado connection is configured in minutes through a visual interface, allowing marketing managers to create complex visualizations without writing SQL code.

Can I send Shopify data to destinations other than Looker Studio?

Yes, besides Looker Studio , you can replicate data to Power BI , Google Sheets , BigQuery , or PostgreSQL . You can also send to MySQL, Excel, Redshift, SQL Server, and Amazon S3.

How does abandoned checkout replication work for analysis?

The Abandoned Checkouts pipeline captures data on total value, items in cart, and abandonment date, allowing marketing teams to create targeted recovery campaigns. This information is automatically replicated to your dashboard in Looker Studio according to your configured schedule.

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Connect Shopify to Looker Studio

To visualize Shopify data in Looker Studio, you need a solution that automates the replication of your store information directly into your reports. Kondado provides a direct Via Kondado connection that eliminates the need for intermediate databases or complex setup, enabling marketing teams and data analysts to build comprehensive dashboards without writing code. With seventeen pipelines available, including Orders, Customers, and Products, you can monitor essential ecommerce metrics in an intuitive visual environment.

Kondado automatically replicates your Shopify data to Looker Studio on a configurable schedule, offering seventeen pipelines covering everything from abandoned checkouts to financial transactions, without requiring technical knowledge or additional infrastructure.

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 Looker Studio allows marketing teams to track campaign performance through the Orders Visits UTM Parameters pipeline, while sales leaders analyze conversion metrics using Orders and Orders Details. Operations teams can monitor shipping flows and inventory levels through the Orders Shipping Lines and Inventory Items pipelines, creating custom dashboards that show exactly where business bottlenecks occur. This integrated visualization enables quick decisions about pricing, stock levels, and abandoned cart recovery strategies.

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Shopify data available in Looker Studio

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.

See all available data →

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How to create Shopify dashboards in Looker Studio

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

Connect Shopify to Kondado

Access the Kondado platform and add Shopify as a data source, entering your store credentials to begin automated replication of the seventeen available pipelines.

Select Looker Studio as destination

Choose Looker Studio as your visualization tool to receive data from your Shopify store, selecting which pipelines such as Orders, Customers, and Products you want to replicate.

Build dashboards and set refresh

Create custom reports in Looker Studio and configure your data refresh schedule based on your business analysis needs, keeping your ecommerce metrics automatically updated.