How do I set up the Shopify connection on Kondado?

To connect your Shopify store to Kondado, access the platform and select Shopify as your data source. You will only need your store access credentials to authorize the connection and start replicating data within minutes, without requiring technical assistance.

What dashboards can I build with Shopify data in QlikView?

You can build custom dashboards tracking metrics like conversion rates by campaign, average order processing time, and refund analysis. Combining pipelines such as Orders, Orders Details, and Customers allows you to visualize the complete sales funnel and identify growth opportunities.

How often is Shopify data updated in QlikView?

In Kondado, you define the data replication frequency according to your business needs. You can configure updates every 5 minutes, 15 minutes, hourly, or daily, ensuring your QlikView reports always reflect your store's current situation.

Which ecommerce KPIs should I track in QlikView?

We recommend tracking indicators such as average order value, cart abandonment rate, customer acquisition cost (CAC), refund rate, and performance by traffic channel. With the Orders and Orders Visits UTM Parameters pipelines available, you can calculate precise ROI for each marketing campaign.

Are there pre-built report templates for Shopify in QlikView?

Kondado does not offer pre-built reports for this source, but you can create custom dashboards in QlikView using the 505 fields available across 17 pipelines. This allows you to adapt visualizations exactly to your business needs, from operational analyses to executive reports.

How can I share Shopify dashboards with my team in QlikView?

After replicating your Shopify data to QlikView through Kondado, you can share your dashboards directly within the visualization tool. Your team will have access to the same automatically updated information, facilitating collaboration between marketing managers and data analysts.

Can I analyze Shopify cart abandonment data in QlikView?

Yes, the Abandoned Checkouts pipeline allows you to view data about abandoned carts, including total value and items selected. This helps identify abandonment patterns and create more effective remarketing strategies directly in QlikView.

Is it possible to cross-reference sales data with customer information in QlikView?

Absolutely. By combining the Customers pipeline with Orders and Orders Details, you can analyze purchasing behavior by customer segment, identify your most valuable customers, and personalize retention campaigns based on purchase history.

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Visualize Shopify Data in QlikView

How do you visualize Shopify data in QlikView? Kondado provides a simple solution to replicate your ecommerce information directly into QlikView without technical expertise or complex configurations. Simply connect your Shopify account to Kondado and select which pipelines you want to analyze, such as Orders, Customers, and Products.

Kondado enables traffic managers, sales leaders, and data analysts to visualize ecommerce metrics in QlikView with automated updates on a configurable schedule, eliminating the need for manual spreadsheet exports.

With Kondado, your operations team can track sales performance, identify cart abandonment patterns, and optimize marketing campaigns directly within QlikView. The platform replicates your Shopify data automatically, allowing you to configure the update frequency according to your needs: every 5 minutes, 15 minutes, hourly, or daily.

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

By combining Shopify data in QlikView, you can create powerful analyses cross-referencing information from Orders with Orders Details and Orders Visits UTM Parameters. This allows marketing managers to identify which campaigns generate the most sales and which products have the highest conversion rates.

The direct integration also enables monitoring of Orders Fulfillments and Orders Refunds, helping operations teams identify logistics bottlenecks and return patterns. With this data available in QlikView, decisions about inventory, pricing, and customer retention strategies become more accurate and based on concrete data.

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Shopify data available in QlikView

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 QlikView

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 authorize the connection and begin replicating information.

Select QlikView as destination

Choose QlikView as your visualization tool and define which pipelines you want to replicate, such as Orders, Customers, and Products, to send your data automatically.

Build dashboards and configure refresh

In QlikView, build your custom reports using the replicated data and configure your desired refresh frequency in Kondado to keep information consistently updated.