How do I connect my Tray store to Looker Studio using Kondado?

Start by adding Tray as a data source in your Kondado account and authenticate with your store credentials. Then select Looker Studio as your destination, choose which pipelines to replicate, and your data will begin flowing into customizable dashboards immediately.

What kind of business dashboards can I build with Tray data in Looker Studio?

You can create comprehensive eCommerce analytics including sales performance by product variant, customer lifetime value analysis, and payment reconciliation across channels. Combine Orders data with Customers information to build cohort analysis reports, or visualize Discount Coupons effectiveness alongside newsletter subscription trends for complete marketing attribution.

How often does my Tray data update in Looker Studio?

You control the refresh schedule based on your business needs, with options ranging from every five minutes for near-real-time monitoring to daily updates for periodic reporting. Once configured, Kondado automatically replicates your selected Tray data on this schedule to keep your Looker Studio reports current without manual intervention.

Which KPIs should I track when visualizing Tray eCommerce data?

Focus on metrics like average order value from the Orders pipeline, repeat purchase rates using Customers data, and inventory turnover by analyzing Sold Products alongside Products information. Payment success rates and discount coupon redemption percentages also provide crucial insights for optimizing your store's financial performance.

Can I share my Tray Looker Studio dashboards with my team?

Yes, Looker Studio allows you to share interactive reports with unlimited viewers inside or outside your organization. Your colleagues can access the latest Tray data visualizations through shareable links or embedded reports without needing their own Kondado account or Tray login credentials.

Do I need technical skills to replicate Tray data to Looker Studio?

No coding or technical expertise is required to connect Tray with Looker Studio through Kondado. The setup process uses simple authentication and point-and-click selection of pipelines, making it accessible for business users, marketers, and operations teams without IT support.

Can I send Tray data to other tools besides Looker Studio?

Absolutely, Kondado allows you to replicate your Tray data to multiple destinations simultaneously. You can send information to Power BI , Google Sheets , BigQuery , or PostgreSQL alongside your Looker Studio connection for different analysis needs across your organization.

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Visualize Tray Data in Looker Studio

Connecting your Tray store to Looker Studio is simple with Kondado. You can replicate data from your eCommerce operations directly into interactive dashboards without writing any code or managing complex infrastructure. Business teams can choose exactly which pipelines matter most to their operations and start visualizing sales trends, customer behavior, and inventory performance within minutes. The entire setup requires no technical expertise: simply authenticate your Tray account, select the data you want to analyze, and choose Looker Studio as your destination to begin creating insightful visualizations.

Kondado provides a direct integration between Tray and Looker Studio, replicating your store data on a configurable schedule to keep your business reports updated automatically. Whether you need near-real-time monitoring every five minutes or prefer daily summaries, your dashboards always reflect the latest information to support confident, data-driven decision-making across your organization.

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Make Better Decisions with Tray Business Data

With your Tray data flowing into Looker Studio, you can combine information from the Orders and Customers pipelines to identify your most valuable buyers and analyze repeat purchase patterns over time. Marketing teams can track Discount Coupons performance alongside Newsletter subscriptions to measure campaign effectiveness, while operations managers monitor the Payments pipeline to reconcile transactions across multiple sales channels without manual spreadsheet work. By visualizing Sold Products data alongside comprehensive inventory information, you gain clear insights into which product variants drive the most revenue and exactly when to restock popular items to maximize sales opportunities.

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Tray data available in Looker Studio

available pipelines

328

extractable fields

Available integrations

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.

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.

See all available data →

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How to create Tray dashboards in Looker Studio

Visualize your data automatically — no spreadsheet exports or custom scripts.

Connect Tray to Kondado

Log into Kondado and add Tray as a data source by entering your store credentials to establish the connection. Select which pipelines you want to replicate from your eCommerce operations.

Choose Looker Studio Destination

Select Looker Studio as your destination and configure how frequently you want your Tray data to refresh. This creates a direct link between your store data and visualization environment without intermediate storage.

Build Dashboards and Schedule Updates

Launch Looker Studio to create custom reports using your replicated Tray data, then set your preferred refresh schedule to keep insights current. Your dashboards will update automatically based on the timing you configured.