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How to visualize Nuvemshop (Tiendanube) data in Zoho Analytics? With Kondado, you connect your online store to Zoho Analytics in minutes without writing any code or managing complex infrastructure. Simply select Nuvemshop (Tiendanube) as your data source, choose Zoho Analytics as your destination, and start replicating your ecommerce data automatically. Your sales, customer behavior, and inventory information flows directly into Zoho Analytics on a configurable schedule you control, whether you need updates every few minutes or once per day.
Business teams can finally track ecommerce performance with professional visualizations that update automatically. Marketing teams analyze campaign effectiveness, operations managers monitor inventory levels, and sales leaders review revenue trends, all within Zoho Analytics intuitive interface.
Kondado offers a direct connection between Nuvemshop (Tiendanube) and Zoho Analytics, replicating 25 data pipelines with 981 fields including Sales, Customers, Products, and Abandoned Carts. Updates run every 5 minutes, 15 minutes, hourly, or daily based on your business needs, keeping your dashboards current without manual exports.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Once your data flows into Zoho Analytics, you unlock powerful insights from your Nuvemshop store operations. Analyze your Sales pipelines to identify top performing products and peak purchasing hours, or dive into Abandoned Carts data to understand where customers drop off and recover lost revenue opportunities. The Customers pipeline gives you complete visibility into buyer behavior and repeat purchase patterns.
Combine these datasets to build comprehensive views of your ecommerce health. Track how promotional campaigns impact actual sales through the Sales: Applied Promotions pipeline, monitor shipping efficiency with Sales: Shipments data, and optimize inventory management using Distribution Center Inventory information. These insights help you make faster decisions about pricing, stock levels, and marketing spend without technical complexity.
Try out all the features for free for 14 days
| 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. |
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 Nuvemshop (Tiendanube) from the available data sources. Enter your store credentials to authenticate and establish the connection without any technical setup.
Select Zoho Analytics as your destination platform and choose which pipelines to replicate, such as Sales, Customers, and Abandoned Carts. You can also send the same data to Power BI or Google Sheets if your team uses multiple tools.
Set your preferred update frequency, from every 5 minutes to daily, then start building custom reports in Zoho Analytics. Your ecommerce data flows automatically, keeping visualizations current for informed decision making.
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Try out all the features for free for 14 days