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How to visualize Mercado Livre data in IBM Cognos Analytics? Kondado makes it simple by connecting your Mercado Livre store directly to IBM Cognos Analytics with no intermediate databases and no coding required. You select Mercado Livre as your data source, set IBM Cognos Analytics as the destination, and begin building reports from your sales, inventory, and advertising metrics. Business users can replicate store performance, orders, and buyer information on a configurable schedule, which keeps every chart and metric ready for analysis.
Kondado connects Mercado Livre to IBM Cognos Analytics through a direct Via Kondado connection, offering 19 pipelines and 716 fields that update on a configurable schedule so teams can monitor sales, stock, and customer feedback without writing code.
With automated updates running every 5 minutes, hourly, or daily, marketing and operations teams always have fresh insights to adjust campaigns, manage stock levels, and improve customer satisfaction. The intuitive setup means you spend less time on configuration and more time making confident business decisions from visual data.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
By bringing Mercado Livre pipelines such as Ads, Items: daily performance, and Order Reviews into IBM Cognos Analytics, you can build reports that reveal which campaigns drive the most visits, how product sales trend over time, and what customers say about their purchases. Marketing teams can compare advertising spend against daily item metrics to optimize budgets and creative focus, while operations teams can track buyer satisfaction alongside order fulfillment in one unified view. These combined insights help you decide where to invest, which products to promote, and how to improve the overall shopping experience for your Mercado Livre store.
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| 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. |
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Visualize your data automatically — no spreadsheet exports or custom scripts.
Log in to Kondado and add Mercado Livre as your data source by authenticating your store credentials. This unlocks access to 19 pipelines covering sales, ads, inventory, and customer activity.
Select IBM Cognos Analytics as your destination and choose the Mercado Livre pipelines you want to replicate. Kondado delivers the data directly through a Via Kondado connection with no intermediate databases needed.
Build your reports in IBM Cognos Analytics using the replicated data, then set your preferred refresh frequency to keep metrics current. You can update every 5 minutes, hourly, or daily depending on how often you need fresh insights.
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Try out all the features for free for 14 days