No credit card required | 14 days | 10 million records | 30 pipelines
or sign up with your email
By signing up, you agree to Kondado’s Terms of service and Privacy policy
Kondado provides a direct integration between your Tray store and Cortex, allowing you to transform raw eCommerce data into clear visual insights without any technical expertise. You can replicate data from your online store on a configurable schedule, ensuring your Cortex reports always reflect the latest sales, customer, and inventory information. This connection helps business teams track performance metrics, identify growth opportunities, and make informed decisions based on current data trends rather than outdated spreadsheets.
Setting up this connection takes just minutes through Kondado’s no-code interface, where you simply authenticate your Tray account and choose which data pipelines to activate for your reporting needs. Once configured, your information flows directly into Cortex where you can build custom reports showing order patterns, customer behavior, and revenue analysis across all your sales channels. The automated updates keep your visualizations current without manual exports or tedious spreadsheet maintenance, saving hours of preparation time each week.
Kondado connects Tray to Cortex through a “Via Kondado” direct integration that requires no intermediate databases or complex technical setup, offering 14 pipelines with 328 fields including Customers, Orders, Payments, and Products to power your business intelligence.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With Kondado, you can combine data from the Orders, Customers, and Sold Products pipelines to create comprehensive Cortex dashboards that reveal your most profitable product categories and identify loyal customer segments driving repeat business. Analyzing these connected datasets allows you to pinpoint which marketing campaigns generate actual revenue, understand seasonal purchase patterns, and optimize inventory levels based on historical transaction data rather than guesswork. Adding the Discount Coupons pipeline provides deeper insight into promotion effectiveness, enabling you to calculate true customer acquisition costs and determine which incentive strategies convert casual browsers into long-term buyers.
Try out all the features for free for 14 days
| Integration | Description |
|---|---|
| Customers | Includes information such as name, email, and registration date, along with modification date and last visit. |
| Discount Coupons | Contains details such as coupon code, creation date, and discount value, along with usage restrictions. |
| Newsletters | Presents information about the customer's email, newsletter status, and creation and modification dates. |
| Payments | Includes data on payment methods, status, and values of transactions made by customers. |
| Orders | Provides information such as order ID, order date, and delivery status, along with customer details. |
| Order Details | Includes detailed information such as order ID, billing address, and additional cart values. |
| Order Details: Mercado Livre | Presents data such as customer ID, estimated delivery date, and information about the purchased product. |
| Additional Product Information for Orders | Contains additional information such as product ID and product name related to each order. |
| Order Invoices | Includes data such as invoice ID and product CFOP, essential for accounting. |
| Order Transactions | Provides information on transaction status and values associated with each order made. |
| Products | Table contains information about products, including id, name, and variants. Fields such as attributes_id and attributes_value provide additional details. |
| Products (Kits) | Table presents product kits, detailing id and attributes. Fields such as attributes_customer_attribute_id provide information about the characteristics of the kits. |
| Sold Products | Table displays sold products, including id and sales information. Fields such as order_id and order_item_quantity help understand sales performance. |
| Products: Variants | Table details product variants, including id and attributes. Fields such as additionalproductinfo_product_id and additionalproductinfo_variant_id provide specific information about each variant. |
Try out all the features for free for 14 days
Visualize your data automatically — no spreadsheet exports or custom scripts.
Log into Kondado and select Tray as your data source, then enter your store credentials to authenticate the connection. Choose which pipelines to activate, such as Orders, Customers, and Products, to begin replicating your eCommerce data.
Select Cortex as your visualization destination from the available options, which include Power BI, Looker Studio, and Google Sheets. This establishes the direct flow of data from your Tray store into your chosen analytics environment.
Set your preferred update frequency in Kondado, choosing from intervals like every 5 minutes, hourly, or daily to keep your Cortex reports current. Once configured, build custom dashboards in Cortex using your replicated data to visualize sales trends and customer insights.
If the source you want is not listed, drop us a chat message. We love to add new sources!
If the software you need is not listed, drop us a messagem. You can use almost every tool
Answers about visualizing Tray data in Cortex automatically
Try out all the features for free for 14 days