How do I connect my VTEX store to Qlik using Kondado?

Start by adding VTEX as a data source inside Kondado, then authenticate with your store credentials. Once connected, you choose which pipelines to replicate and send them directly to Qlik with no intermediate database required. The setup takes minutes and does not demand any technical coding skills.

What kind of dashboards can I build with VTEX data in Qlik?

You can build reports that monitor daily sales, track inventory across warehouses, and measure marketing campaign performance by affiliate or UTM source. Combining pipelines like Orders, Stock, and Marketing Data of Orders lets you see how promotions affect stock levels and revenue in a single visual environment.

How often does VTEX data update in my Qlik reports?

You set the refresh cadence inside Kondado, selecting automated updates to run every few minutes, hourly, or daily based on your business needs. This keeps your ecommerce metrics current without manual exports, so your team always works with the latest order and stock information.

Which KPIs should I track when visualizing VTEX data in Qlik?

Focus on metrics like total order value, SKU stock availability by warehouse, coupon redemption rates, and shipping estimated dates. Tracking these KPIs helps operations teams prevent stockouts while giving marketing teams clear insight into which campaigns generate actual sales.

Are there any ready-made VTEX dashboard templates available?

Yes, Kondado provides pre-built report templates including the VTEX Power BI Report and the VTEX Looker Studio Report, which you can adapt for your business needs. While these are optimized for Power BI and Looker Studio , the same VTEX pipelines can be replicated to Qlik to build equivalent ecommerce views.

Can I share my VTEX Qlik dashboards with other team members?

Once your data is in Qlik, you can use Qlik's built-in sharing features to distribute reports across your marketing, operations, and executive teams. Everyone sees the same refreshed numbers, making it easier to align on inventory plans, campaign budgets, and fulfillment priorities.

Do I need a developer to set up VTEX data replication to Qlik?

No, Kondado is built for business users, so marketing and operations teams can configure the VTEX data source and select Qlik as the destination without writing code. The interface guides you through choosing pipelines and scheduling updates, removing the typical dependency on IT resources.

What VTEX data can I replicate to Qlik besides orders and stock?

Beyond Orders and Stock, you can replicate pipelines such as Coupons, Promotions, SKUs: Prices, and Shipping Data of Orders to Qlik. This gives you a complete picture of pricing strategies, promotional performance, and delivery timelines alongside your core sales and inventory metrics.

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Visualize VTEX Data in Qlik with Kondado

Kondado helps business teams replicate VTEX data into Qlik without writing code or managing complex infrastructure. You choose VTEX as your data source, select the exact pipelines you need, and start building interactive reports that turn raw ecommerce numbers into clear visual insights. The connection runs through Kondado directly, so there are no intermediate databases to configure.

Kondado connects VTEX directly to Qlik, giving non-technical teams access to 17 pipelines and 432 fields to build automated reports on a configurable schedule.

With automated updates keeping your information current, your marketing and operations teams always see up-to-date order trends, stock levels, and campaign results inside Qlik. This means faster decisions on inventory, promotions, and customer fulfillment without waiting on technical resources.

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

By bringing VTEX pipelines such as Orders, Stock, and Marketing Data of Orders into Qlik, you can finally connect sales performance with warehouse availability and campaign attribution in one unified view. Operations managers spot stock risks before they become shortages, while marketing teams see exactly which affiliate and UTM campaigns drive purchases and revenue. Sales leaders can also track order status and payment trends alongside logistics data to improve fulfillment speed. Instead of switching between platforms or exporting spreadsheets, your whole team gets a single source of visual truth to manage daily ecommerce decisions with confidence and clarity.

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VTEX data available in Qlik

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

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

Add VTEX as your data source

Log into Kondado and add VTEX as your data source by entering your store credentials. Choose the pipelines you want to replicate, such as Orders, Stock, or Marketing Data of Orders.

Select Qlik as destination

Pick Qlik from the destination list and define how your VTEX information should appear in your reports. Kondado sends the data directly to Qlik with no intermediate storage needed.

Build dashboards and schedule updates

Inside Qlik, use your fresh VTEX data to build reports that track sales, inventory, and campaign performance. Return to Kondado anytime to adjust which pipelines you replicate or change the automated update frequency.