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How to visualize Tray data in Airtable? Kondado makes it simple with a direct connection that requires no technical expertise. You can replicate your ecommerce information from Tray into Airtable on a configurable schedule, keeping your business reports current without manual exports. Whether you need to track orders, analyze customer behavior, or monitor inventory, your data flows automatically into Airtable’s flexible interface.
Kondado connects Tray to Airtable through a direct integration with no intermediate databases, allowing business teams to access 14 data pipelines including Orders, Customers, and Payments with updates every 5 minutes, 15 minutes, hourly, or daily.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With your Tray data in Airtable, marketing teams can analyze Discount Coupons performance alongside Customer segments to optimize campaigns, while operations teams track Orders and Sold Products to manage inventory levels. Combining Order Details with Payment information helps finance teams reconcile transactions quickly, giving everyone a single source of truth for daily decisions. The visual format makes it easy to spot trends in your ecommerce performance and share actionable insights across your organization.
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| 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 add Tray by entering your store credentials to establish the connection. Select which of the 14 available pipelines you want to replicate, such as Orders, Customers, or Products.
Choose Airtable as where you want to visualize your Tray data, or explore alternatives like Power BI or Looker Studio if you prefer different reporting tools. Configure which base will receive your pipeline data.
Set your preferred update frequency, from every 5 minutes to daily, and start building custom views in Airtable. Create visual reports combining Order Details with Sold Products data to track business performance automatically.
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Try out all the features for free for 14 days