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Kondado lets you connect your Mercado Livre store to Qlik in just a few clicks, turning sales, inventory, and advertising metrics into clear charts and reports. You choose exactly which information to replicate from 19 available pipelines covering orders, items, ads, and daily store performance, and Kondado delivers it straight to Qlik with no intermediate databases or complex setup required. Once connected, your teams can explore up-to-date metrics in familiar dashboards, making it simple to spot trends, manage stock levels, and adjust pricing strategies without any technical knowledge.
With Kondado, you replicate Mercado Livre data directly into Qlik via a direct integration, choosing from 19 pipelines and 716 fields to build automated reports that refresh on a configurable schedule.
Business users across marketing and operations can finally rely on current visual insights to drive faster decisions, optimize campaigns, and keep inventory aligned with demand throughout their Mercado Livre stores.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Combining Mercado Livre sales information with Qlik visualization power gives business teams a complete view of their online store performance. By bringing together the Orders, Items: daily performance, and Store: daily performance pipelines, you can track conversion trends, compare product movement against site visits, and measure daily revenue growth in one unified place. Marketing managers can quickly see which campaigns drive actual sales, while operations leaders monitor stock needs and shipping progress through intuitive Qlik charts that turn raw numbers into clear next steps. This direct connection helps agencies and SMBs react faster to market shifts and keep their Mercado Livre strategy aligned with real business results.
Try out all the features for free for 14 days
| Integration | Description |
|---|---|
| Ads | Table presents published ads with fields such as id, title, price, and description, along with metrics like total_visits_last_90_days. |
| Items | Table contains item details, including id, catalog_product_id, and attributes such as brand and model, along with pricing information. |
| Items: stock | Table provides information on available stock, including user_product_id, item_id, and quantity, along with availability type. |
| Items: daily performance | Table presents daily performance metrics of items, allowing analysis of sales and interactions over time. |
| Items: prices | Table displays pricing information for items, including id, selling price, and sale conditions, essential for marketing strategies. |
| Items: selling prices | Table provides details on the selling prices of items, including id and values, fundamental for market analysis. |
| Items: variations | Table presents variations of items, including attributes such as color and size, allowing better customer segmentation. |
| Store: daily performance | Table provides daily performance metrics of the store, including total sales and interactions, essential for evaluating results. |
| Payments Mercado Pago | Table contains information on payments, including id, status, and values, fundamental for financial management. |
| Orders | Table presents order details, including id, status, and information about buyers, essential for sales management. |
| Order Invoices | Includes fields such as id, seller_id, and total_amount, allowing detailed analysis of transactions and billed amounts. |
| Order Reviews | Contains information such as order_id, rating, and comment, facilitating the assessment of customer satisfaction and feedback on orders. |
| Order Buyers | Presents data such as buyer_id, buyer_email, and buyer_name, allowing analysis of buyer profiles and their contact information. |
| Order Context | Includes fields such as order_id, context_type, and context_value, providing insights into the conditions and circumstances of orders. |
| Order Shipments | Contains information such as shipment_id, tracking_number, and shipping_status, allowing tracking and management of shipments made. |
| Order Items | Includes data such as item_id, quantity, and price, facilitating the analysis of purchased products and their quantities. |
| Order Payments | Presents fields such as payment_id, payment_method, and payment_status, allowing analysis of payment methods and statuses for orders. |
| Order Sellers | Includes information such as seller_id, seller_name, and seller_rating, allowing analysis of seller performance and reputation. |
| Complaints | Contains fields such as complaint_id, order_id, and resolution_status, facilitating tracking and management of customer complaints. |
Try out all the features for free for 14 days
Visualize your data automatically — no spreadsheet exports or custom scripts.
Log into Kondado and choose Mercado Livre as your data source, then authenticate your seller account to unlock the available pipelines. You will see all 19 pipeline options, from Orders to Ads, ready for replication without any complex configuration.
Select Qlik from the destination list and decide which Mercado Livre pipelines you want to send over for visualization. If your team also works with Looker Studio or Power BI, you can route data to those platforms from the same source.
Open Qlik to design charts and reports using your fresh Mercado Livre data, then pick a refresh schedule that matches your business rhythm. Your reports stay updated automatically, so marketing and operations teams always see the latest numbers when making decisions.
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Try out all the features for free for 14 days