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How to visualize Mercado Livre data in Amazon Quicksight? Kondado offers a direct integration that lets you replicate your ecommerce data into Amazon Quicksight without complex setup or intermediate databases. Simply connect your Mercado Livre account as a data source, select Amazon Quicksight as your destination, and choose which pipelines you need. Your sales, inventory, and advertising metrics flow automatically into visual dashboards on a configurable schedule you control.
Kondado connects Mercado Livre to Amazon Quicksight using a direct Via Kondado connection, enabling automated data replication every 5 minutes to daily without requiring technical setup or intermediate storage.
Business teams can analyze marketplace performance, track inventory levels, and monitor advertising campaigns through automated reports that update based on your preferred timeline. This approach eliminates manual data gathering and ensures your Amazon Quicksight visualizations always reflect current Mercado Livre activity, enabling faster decisions about pricing, stock replenishment, and marketing investments.
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With Kondado, you can combine your Mercado Livre Items: daily performance and Orders pipelines to track sales velocity and identify bestselling products directly in Amazon Quicksight. Marketing teams can analyze the Ads pipeline alongside Items: stock data to ensure promotional campaigns align with available inventory and avoid stockouts during high-traffic periods. These combined insights help operations teams make data-driven decisions about pricing strategies, replenishment timing, and campaign optimization without waiting for manual reports or complex spreadsheet analysis work.
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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 into Kondado and add Mercado Livre as a new data source by entering your marketplace credentials to establish the connection.
Choose Amazon Quicksight from the available destinations and configure which pipelines you want to replicate, such as Orders or Items: daily performance.
Build your visualizations in Amazon Quicksight and set your preferred update frequency, from every 5 minutes to daily, to keep reports current automatically.
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Try out all the features for free for 14 days