How do I connect my VTEX store to Qlik Cloud Analytics with Kondado?

Inside Kondado, add VTEX as a data source and enter your account credentials to authenticate the store. Then choose Qlik Cloud Analytics as the destination and decide which datasets to replicate. The connection is managed entirely through Kondado, so your team can begin building reports within minutes.

What kind of analytics reports can I create with VTEX and Qlik?

Business users typically build views that monitor sales conversion, compare promotional periods, and analyze shipping efficiency across regions. You can also layer customer service data from Order Details with purchase history to understand buyer satisfaction and repeat behavior.

How frequently can I refresh VTEX data inside Qlik Cloud Analytics?

Kondado lets you set updates to run every five minutes, fifteen minutes, hourly, or daily depending on how current your reports need to be. Once the schedule is active, your Qlik reports reflect the latest orders and inventory changes without any manual intervention.

Which ecommerce KPIs are easiest to track in Qlik using VTEX data?

Popular metrics include average order value, stock availability by warehouse, coupon usage rates from the Coupons pipeline, and on-time shipping ratios calculated from Shipping Data of Orders. Watching these numbers helps merchandising and logistics teams adjust purchasing and fulfillment plans quickly.

Are there ready-made VTEX report templates I can start from?

Kondado includes pre-built report templates such as the VTEX Power BI Report and VTEX Looker Studio Report for Power BI and Looker Studio . These ready-made reports map out essential ecommerce metrics and can guide the layout and KPI selection for your Qlik Cloud Analytics projects.

Can my marketing and operations teams share the same VTEX reports in Qlik?

After replicating your VTEX data to Qlik Cloud Analytics, you can publish reports and grant access to different departments through Qlik's collaboration features. This ensures everyone works from the same current information when planning campaigns or managing inventory.

What specific VTEX information can I send to Qlik Cloud Analytics?

You can replicate details such as product catalogs, SKU kit compositions, payment transactions, and promotional rules. This means your analysts can explore everything from pricing strategies in SKUs: Prices to bundled product performance in SKUs: Kits within a single analytics environment.

Do I need a developer to set up VTEX data in Qlik Cloud Analytics?

No technical expertise is required because Kondado handles the data source configuration and replication setup through a guided interface. Business users can select their VTEX store, choose Qlik Cloud Analytics, and start creating visual reports without relying on IT support.

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Visualize VTEX Data in Qlik Cloud Analytics

Kondado makes it simple to visualize your VTEX store data directly inside Qlik Cloud Analytics. You connect VTEX as a data source, choose the information you want to replicate, and your reports start showing the metrics that matter for your business. There is no need for complex setup or intermediate databases, so marketing and operations teams can focus on insights instead of configuration. Your charts and reports stay current on a configurable schedule, which means no manual refreshing is needed to see the latest orders, inventory levels, or campaign results. Whether you manage a single store or multiple brands, Kondado scales to give you a unified view of your ecommerce performance.

Kondado provides a direct connection between VTEX and Qlik Cloud Analytics with 17 available pipelines and 432 fields, updating on a configurable schedule so your reports always reflect current store performance.

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

By combining VTEX with Qlik Cloud Analytics, you can turn raw store information into clear visual stories that guide daily decisions. For example, the Orders pipeline lets you follow purchase trends and revenue patterns, while the Stock pipeline helps you prevent shortages by showing SKU availability across every warehouse. Marketing teams can use the Marketing Data of Orders pipeline to see which campaigns actually generate sales, connecting affiliate IDs and UTM parameters to completed transactions. When these datasets come together in Qlik, managers gain a unified view of product performance, logistics, and customer behavior without writing any code.

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VTEX data available in Qlik Cloud Analytics

available pipelines

432

extractable fields

Available integrations

Integration	Description
Coupons	Includes fields like coupon_id, expirationintervalperuse, and isarchived, allowing management of promotions and their reuse intervals.
Stock	Presents data such as skuid, warehouseid, and totalquantity, providing information on the stock position of SKUs by warehouse.
Master Data	Contains fields like id, updatedin, and createdin, allowing management of entities and their dynamic properties.
Orders	Includes information such as orderid, status, and totalvalue, allowing detailed tracking of orders and their status.
Shipping Data of Orders	Provides shipping details including shippingestimateddate and shippingestimateddatemax, essential for logistical management.
Marketing Data of Orders	Includes information such as affiliateid and utmcampaign, allowing analysis of marketing campaigns associated with orders.
Order Details	Presents fields like lastmessageunread and callcenteroperatorname, offering insights into customer communication and service.
Logistics Information of Orders	Includes data such as invoiceinput and invoiceoutput, essential for managing fiscal and logistical documents.
Order Items	Contains information about each order item, such as totalitems and paymentnames, allowing detailed analysis of purchased products.
Payments: Order Transactions	Includes details about payment transactions, such as paymentnames and totalvalue, essential for financial control of orders.
Orders: Fees and Benefits	Includes information about fees and benefits associated with orders, such as totalvalue, shippingestimateddate, and paymentnames.
Orders: Totals	Presents the totals of orders, including orderid, totalvalue, and totalitems, along with details about the creation date.
Products	Contains data about available products, including skuid, warehousename, and totalquantity, along with pricing information.
Promotions	Provides details about promotions, including coupon_id, expirationintervalperuse, and maxitemsperclient, along with campaign information.
SKUs	Presents information about SKUs, such as skuid, totalquantity, and reservedquantity, along with data on stock availability.
SKUs: Kits	Includes data about SKU kits, allowing the visualization of product combinations along with their respective quantities and prices.
SKUs: Prices	Provides information about SKU prices, including skuid and pricing details, allowing for cost and promotion analysis.

Coupons

Includes fields like coupon_id, expirationintervalperuse, and isarchived, allowing management of promotions and their reuse intervals.

Stock

Presents data such as skuid, warehouseid, and totalquantity, providing information on the stock position of SKUs by warehouse.

Master Data

Contains fields like id, updatedin, and createdin, allowing management of entities and their dynamic properties.

Orders

Includes information such as orderid, status, and totalvalue, allowing detailed tracking of orders and their status.

Shipping Data of Orders

Provides shipping details including shippingestimateddate and shippingestimateddatemax, essential for logistical management.

Marketing Data of Orders

Includes information such as affiliateid and utmcampaign, allowing analysis of marketing campaigns associated with orders.

Order Details

Presents fields like lastmessageunread and callcenteroperatorname, offering insights into customer communication and service.

Logistics Information of Orders

Includes data such as invoiceinput and invoiceoutput, essential for managing fiscal and logistical documents.

Order Items

Contains information about each order item, such as totalitems and paymentnames, allowing detailed analysis of purchased products.

Payments: Order Transactions

Includes details about payment transactions, such as paymentnames and totalvalue, essential for financial control of orders.

Orders: Fees and Benefits

Includes information about fees and benefits associated with orders, such as totalvalue, shippingestimateddate, and paymentnames.

Orders: Totals

Presents the totals of orders, including orderid, totalvalue, and totalitems, along with details about the creation date.

Products

Contains data about available products, including skuid, warehousename, and totalquantity, along with pricing information.

Promotions

Provides details about promotions, including coupon_id, expirationintervalperuse, and maxitemsperclient, along with campaign information.

SKUs

Presents information about SKUs, such as skuid, totalquantity, and reservedquantity, along with data on stock availability.

SKUs: Kits

Includes data about SKU kits, allowing the visualization of product combinations along with their respective quantities and prices.

SKUs: Prices

Provides information about SKU prices, including skuid and pricing details, allowing for cost and promotion analysis.

See all available data →

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How to create VTEX dashboards in Qlik Cloud Analytics

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

Connect VTEX as data source

Inside Kondado, add VTEX as a data source by entering your store credentials and selecting the pipelines you want to replicate. This establishes the link between your ecommerce operation and your analytics environment.

Select Qlik Cloud Analytics destination

Pick Qlik Cloud Analytics from the destination list so your VTEX data flows directly into the visualization tool. Kondado manages the transfer with no intermediate databases required.

Build reports and configure refresh

Open Qlik Cloud Analytics to create visual reports using your replicated VTEX fields, then set a refresh schedule that keeps your charts current automatically. You can update data as often as every five minutes or choose a daily interval to match your reporting needs.