How often does Kondado update Loja Integrada data in PostgreSQL?

You configure the update frequency based on your business needs, choosing intervals from every 5 minutes to daily schedules. This flexibility allows high-volume stores to maintain near-real-time inventory visibility while reducing API load during slower periods. The automated schedule runs continuously once activated, delivering fresh data to your PostgreSQL instance without manual intervention.

What specific order details from Loja Integrada are available in PostgreSQL?

The platform offers several order-related pipelines including Orders, Order Status History, and Order Invoices, capturing everything from creation dates and totals to status transitions and billing documentation. You can track the complete lifecycle of each transaction, analyze payment method usage, and monitor shipping method selections across your entire order history. This granular data supports cohort analysis and revenue recognition reporting directly within your database.

Can I combine Loja Integrada data with other business systems in PostgreSQL?

Yes, you can replicate data from additional sources into the same PostgreSQL instance to create unified datasets. Many users join Loja Integrada sales data with marketing platforms, ERP systems, or accounting software to calculate true customer acquisition costs and lifetime value. The consolidated environment enables cross-functional analysis that would be impossible when data remains siloed in separate applications.

How is Loja Integrada product data structured when replicated to PostgreSQL?

Product information distributes across multiple specialized pipelines including Products, Product Stock, Product Variation Grades, and Product Prices, each becoming separate relational structures in your database. This normalization allows you to query specific attributes like available quantities, variation values, and promotional pricing independently while maintaining referential integrity through product_id relationships. You can reconstruct complete product catalogs through SQL joins or analyze specific dimensions like inventory levels across multiple warehouses.

Can I send Loja Integrada data from PostgreSQL to reporting tools like Google Sheets?

Absolutely, once your data resides in PostgreSQL , you can connect the database to Google Sheets , Power BI , or Looker Studio for visualization and sharing. This workflow lets analysts build automated dashboards that refresh on independent schedules while keeping raw data centralized. Teams can create self-service reporting environments where stakeholders access current metrics without requesting manual exports from your e-commerce platform.

Does the replication include Loja Integrada customer segmentation data?

Yes, the Customers pipeline contains contact information and communication preferences, while the Customer Groups pipeline provides segmentation classifications including default group designations. You can analyze purchasing patterns by segment, identify high-value customer cohorts, and personalize marketing strategies based on group membership. This data supports RFM analysis and retention studies when combined with order history in your PostgreSQL queries.

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Replicate Loja Integrada Data to PostgreSQL

To send your Loja Integrada data to PostgreSQL, start by connecting your store as a data source in Kondado and selecting PostgreSQL as your destination. The platform replicates your e-commerce information automatically on a configurable schedule, eliminating manual exports and complex API coding. You choose which pipelines to activate from the 17 available options, including Orders, Products, and Customers, ensuring only relevant data flows into your database.

Kondado provides a direct integration between Loja Integrada and PostgreSQL, replicating 397 fields across 17 pipelines including orders, inventory, and customer data on schedules ranging from 5 minutes to daily intervals.

Once your data arrives in PostgreSQL, you can build custom analytics, join Loja Integrada information with other business systems, and create automated reports. The replicated data supports complex SQL queries for inventory forecasting, sales performance analysis, and customer segmentation. Teams can connect their PostgreSQL instance to visualization tools like Power BI or Looker Studio to monitor store metrics without impacting the live e-commerce platform.

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The Orders and Order Status History pipelines enable detailed funnel analysis within your PostgreSQL environment, allowing you to track conversion rates and identify bottlenecks in your checkout process using historical status transitions. By combining the Products and Product Stock pipelines, inventory teams can create automated low-stock alerts and demand forecasting models directly in SQL without querying your live store. Marketing analysts leverage the Customers and Customer Groups pipelines to segment audiences based on purchase behavior, then join this data with external sources to push actionable insights to Google Sheets or business intelligence platforms for targeted campaign activation.

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Loja Integrada data available for PostgreSQL

available pipelines

397

extractable fields

Available integrations

Integration	Description
Categories	Includes fields such as id, name, and description, allowing for the organization and hierarchy of products in the store.
Customers	Contains information such as id, name, and email, along with contact details and communication preferences.
Customer Groups	Presents fields such as id, name, and whether it is a default group, facilitating customer segmentation.
Coupons	Includes fields such as id, code, and application conditions, allowing management of discounts and promotions.
Labels	Provides information about labels used to categorize products or customers, facilitating organization.
Shipping Methods	Presents details about available shipping methods, including id, name, and associated costs.
Payment Methods	Includes information about payment methods, such as id, name, and applicable fees for transactions.
Brands	Contains fields such as id, name, and description, allowing for the identification and organization of product brands.
Orders	Includes information such as id, status, and creation date, allowing for tracking and management of orders.
Order Status History	Presents a record of order status changes, including id, status, and date of change.
Order Invoices	Includes fields such as id, creation_date, and total_value, allowing detailed tracking of invoices generated for each order.
Products	Contains information such as id, name, and description, along with data on price and category, essential for managing the product catalog.
Product Stock	Presents fields such as product_id, available_quantity, and reserved_quantity, allowing effective control of the stock for each product.
Product Variation Grades	Includes fields such as product_id, variation_name, and variation_value, facilitating the management of different variations of the same product.
Product Images	Presents fields such as product_id, image_url, and image_description, allowing visual organization and presentation of product images.
Product Prices	Includes fields such as product_id, sale_price, and promotional_price, essential for defining and managing the sale prices of products.
Order Statuses	Presents fields such as id, description, and last_updated, allowing monitoring of the different statuses of orders in processing.

How to send Loja Integrada data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Loja Integrada Store

Enter your Loja Integrada API credentials in the Kondado platform to establish authentication and select Loja Integrada as your data source. The system automatically detects available pipelines including Orders, Products, and Customers from your store configuration.

Configure PostgreSQL Destination

Provide your PostgreSQL connection details including host, database name, and user credentials to establish the target location for your replicated data. Kondado validates the connection and prepares the schema structure to receive Loja Integrada information.

Select Pipelines and Schedule

Choose which of the 17 available pipelines to activate, such as Orders or Product Stock, and set your preferred update frequency from 5 minutes to daily intervals. Once activated, data flows automatically to your PostgreSQL instance on the configured schedule.

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