What specific data can I extract from Nuvemshop using Kondado?

You can access 25 different pipelines including Sales, Products, Customers, Abandoned Carts, Coupons, Shipments, and Distribution Centers. Each pipeline offers detailed fields such as discount values, shipping addresses, tracking numbers, and event timestamps, totaling 981 fields available for analysis.

How do I connect my Nuvemshop store to Kondado?

Simply add the Nuvemshop data source in Kondado and enter your API credentials from the platform. The process requires no coding knowledge or technical development, allowing managers and analysts to configure the connection in minutes.

How frequently is Nuvemshop data updated in Kondado?

Kondado offers configurable scheduling for data updates, supporting intervals from every 5 minutes to daily refreshes. You define the schedule based on your operational requirements, keeping reports updated automatically without manual intervention.

Can I send Nuvemshop data to spreadsheets and databases?

Yes, you can replicate data to Google Sheets , BigQuery , PostgreSQL , MySQL, Excel, Redshift, SQL Server, and Amazon S3. This flexibility allows data analysts to work within tools already familiar to your team.

What types of dashboards can I build with Nuvemshop data?

You can construct custom dashboards in Power BI or Looker Studio tracking conversion rates, abandoned checkout analysis, coupon performance, and logistics metrics. You combine different pipelines to visualize the complete sales funnel.

Does Kondado offer pre-built report templates for Nuvemshop?

There are no pre-built templates available, but you can create custom reports by combining the 25 available pipelines. This allows you to tailor analyses specifically to your business model, products, and marketing strategies for your online store.

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Connect Nuvemshop (Tiendanube) to Kondado

Kondado enables you to extract comprehensive data from your Nuvemshop (Tiendanube) store for external analysis. You can access detailed information about sales transactions, product catalogs, customer profiles, abandoned checkouts, promotional coupons, and shipping operations. The data includes specific fields such as order IDs, total values, billing addresses, tracking numbers, and creation timestamps, essential for financial reporting and operational insights.

Kondado’s data source for Nuvemshop (Tiendanube) provides 25 pipelines and 981 fields, supporting automated data replication on a configurable schedule ranging from every 5 minutes to daily updates.

Marketing managers can analyze campaign performance and coupon effectiveness to optimize conversion rates, while data analysts cross-reference sales and product information to identify trends. Sales leaders track performance metrics and revenue patterns, and operations teams monitor fulfillment logistics and inventory levels across distribution centers. The platform supports custom reporting on customer behavior and promotional impact.

The Kondado platform takes care of refreshing Nuvemshop (Tiendanube) data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Nuvemshop (Tiendanube) data in your report, spreadsheet, data warehouse, data lake, or database

Below you will find all available pipelines for Nuvemshop (Tiendanube). The Abandoned Carts pipeline reveals checkout abandonment patterns and recovery opportunities, while Sales: Products details sold items with quantities and pricing for product mix analysis. Distribution Centers and Distribution Center Inventory enable precise logistics control, and Coupons show promotional campaign effectiveness. Customers and Custom Fields provide segmented data for retention strategies.

Combining multiple pipelines allows you to analyze how promotions affect cart abandonment or correlate shipping methods with conversion rates. The configurable update frequency, which you can set according to your business needs, keeps your sales and marketing KPIs current for rapid decision-making.

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Available Nuvemshop (Tiendanube) data

available pipelines

981

extractable fields

Available integrations

Integration	Description
Custom Fields	Includes fields such as id, created_at, and description, allowing customization of information related to specific resources.
Abandoned Carts	Contains data such as id, billing_address, and completed_at, enabling tracking of unfinished checkouts.
Promotion Discount Settings	Includes information on discount, discount_coupon, and discount_gateway, detailing discount settings applied to abandoned carts.
Abandoned Cart Coupons	Presents data on coupons used, allowing analysis of promotions that encourage purchase completion.
Abandoned Cart Products	Provides information on products included in the cart, such as id and has_stock_available, essential for understanding abandonment.
Applied Promotions for Abandoned Carts	Includes details on promotions applied, allowing analysis of the impact of offers on unfinished carts.
Categories	Contains information about product categories, facilitating the organization and search for items in the store.
Distribution Centers	Presents data on distribution locations, allowing efficient management of inventory and logistics.
Distribution Center Inventory	Includes information on available stock, facilitating control and replenishment of products.
Customers	Contains data such as id, contact_email, and created_at, essential for customer relationship management.
Customers: Custom Fields	Includes fields such as id, created_at, and value, enabling customization of customer information based on specific needs.
Coupons	Contains information about coupons, including id, code, and discount value, facilitating the management of promotions and offers.
Shipping Methods	Presents data on shipping methods, such as id, name, and cost, allowing analysis of available delivery options.
Products	Includes details about products, such as id, name, and price, essential for inventory and sales management.
Products: Custom Fields	Provides fields such as id, created_at, and value, allowing customization of product information as needed.
Products: Variations	Includes information about product variations, such as id, type, and price, facilitating management of different product options.
Products: Variations: Custom Fields	Presents fields such as id, created_at, and value, allowing customization of specific information for product variations.
Sales	Contains data on sales, including id, total value, and date, essential for performance analysis and financial reporting.
Sales: Custom Fields	Includes fields such as id, created_at, and value, allowing customization of sales information as needed.
Sales: Promotion Discount Settings	Presents information on discount settings, such as id, discount type, and value, facilitating promotion management.
Sales: Coupons	View information about coupons used in sales, including fields such as id, discount, and created_at.
Sales: Shipments	Track details of sales shipments, with fields such as tracking_number, shipping_address, and created_at.
Sales: Shipping Events	Examine events related to shipping, including fields such as event_type, event_timestamp, and tracking_number.
Sales: Products	Explore information about sold products, with fields such as product_id, quantity, and price.
Sales: Applied Promotions	Analyze promotions applied in sales, including fields such as promotion_id, discount_value, and created_at.

Custom Fields

Includes fields such as id, created_at, and description, allowing customization of information related to specific resources.

Abandoned Carts

Contains data such as id, billing_address, and completed_at, enabling tracking of unfinished checkouts.

Promotion Discount Settings

Includes information on discount, discount_coupon, and discount_gateway, detailing discount settings applied to abandoned carts.

Abandoned Cart Coupons

Presents data on coupons used, allowing analysis of promotions that encourage purchase completion.

Abandoned Cart Products

Provides information on products included in the cart, such as id and has_stock_available, essential for understanding abandonment.

Applied Promotions for Abandoned Carts

Includes details on promotions applied, allowing analysis of the impact of offers on unfinished carts.

How to visualize Nuvemshop (Tiendanube) data in 3 steps

Connect Nuvemshop (Tiendanube) to dashboards, spreadsheets, or databases — no code required.

Add Nuvemshop data source to Kondado

Configure the connection with your online store by entering your Nuvemshop API credentials into the platform.

Select pipelines and destination

Choose which of the 25 pipelines to replicate and send your data to Power BI, Looker Studio, Google Sheets, BigQuery, PostgreSQL, or other destinations.

Visualize and analyze your data

Build dashboards in BI tools, analyze information in spreadsheets such as Google Sheets and Excel, or query database tables in PostgreSQL, MySQL, and Redshift for comprehensive insights.

Try out all the features for free for 14 days