How does Kondado connect Shopify to Excel?

Kondado uses a direct connection to extract data from your Shopify store and load it into Excel workbooks. You authenticate your store once, select your desired pipelines, and the platform handles the automated replication on your chosen schedule. The data flows directly into your spreadsheets without requiring manual CSV exports or complex API configurations.

What Shopify data can I replicate to Excel spreadsheets?

You can replicate 17 different pipelines including Orders, Customers, Products, Inventory Items, and Abandoned Checkouts. Each pipeline contains specific fields such as order values, customer emails, SKU details, and UTM parameters. This gives you access to 505 total fields covering sales, inventory, marketing attribution, and customer behavior.

How often does Shopify data update in Excel?

Kondado updates your Excel workbooks on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You select the frequency during setup based on your reporting needs, ensuring your spreadsheets reflect recent transactions and inventory changes without manual intervention.

Can I combine Shopify data with other sources in Excel?

Yes, you can replicate data from multiple sources into the same Excel environment alongside your Shopify information. Kondado supports connections to 80+ data sources, allowing you to merge ecommerce metrics with advertising data from Google Sheets destinations or financial information from other platforms for unified analysis.

What format does Shopify data take in Excel?

Each pipeline arrives as a structured dataset within your Excel workbook, with columns representing individual fields like order IDs, product titles, or customer locations. The data maintains proper formatting for dates, currency values, and numerical metrics, making it immediately ready for pivot tables, charts, and formula-based calculations.

Can I send Shopify data to Google Sheets instead of Excel?

Yes, Kondado supports multiple destinations including Google Sheets , Power BI , BigQuery , and PostgreSQL . You can configure separate pipelines to send different datasets to different destinations, or replicate the same Shopify data to both Excel and other tools simultaneously for diverse analytical workflows.

How do I set up automated Shopify reporting in Excel?

Start by connecting your Shopify store to Kondado and selecting Excel as your destination. Choose the specific pipelines you need for your reports, such as Orders and Order Details for sales analysis, then set your preferred update frequency. Once configured, your Excel workbooks populate automatically with fresh data, enabling you to build persistent dashboards and reports that refresh without manual effort.

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Send Shopify Data to Excel Automatically

How to send Shopify data to Excel? Kondado provides a direct connection that lets you replicate your ecommerce information into spreadsheets without writing code. Simply connect your Shopify store as a data source, choose Excel as your destination, and select which pipelines you want to replicate. The platform handles the data transfer on a configurable schedule, updating your workbooks automatically with fresh sales, inventory, and customer information. You maintain complete control over which datasets flow into your spreadsheets and how frequently they refresh.

Kondado replicates Shopify data to Excel automatically on a user-configured schedule, supporting intervals from every 5 minutes to daily, enabling analysts to build custom reports using familiar spreadsheet formulas and pivot tables.

Once your data arrives in Excel, you can perform deep-dive analysis using the tools you already know. Create financial models tracking revenue trends, build inventory management dashboards, or analyze customer behavior patterns with pivot tables and charts. This automated workflow eliminates manual data exports, ensuring your team always works with current information for faster decision-making and more accurate forecasting across your ecommerce operations.

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With the Orders and Orders Details pipelines, you can construct comprehensive sales reports that break down revenue by product category, track average order values, and monitor discount impacts over time. The Customers pipeline enables detailed segmentation analysis in Excel, allowing you to identify high-value buyer cohorts and calculate customer lifetime value using familiar spreadsheet functions.

Inventory teams benefit from the Inventory Items and Products pipelines, which deliver stock levels and product metadata directly into your workbooks for automated reorder point calculations. Marketing analysts can combine the Orders Visits UTM Parameters pipeline with sales data to measure campaign ROI and attribute revenue to specific channels. Each dataset arrives structured and ready for immediate analysis, transforming Excel into a powerful business intelligence tool for your Shopify operations.

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Shopify data available for Excel

available pipelines

505

extractable fields

Available integrations

Integration	Description
Abandoned Checkouts	View data on abandoned checkouts, including total value, items in the cart, and abandonment date.
Customers	Track customer information, including name, email, status, and account creation date.
Events	Log important events, including event type, date, and details associated with each event.
Inventory: items	Monitor item inventory, including SKU, available quantity, and product location.
Order timeline events	Analyze order timeline events, including status, date, and actions taken during processing.
Orders	Examine order details, including order number, total value, status, and creation date.
Orders Details	Get detailed information about orders, including items, prices, quantities, and applied discounts.
Orders Discount Applications	View how discounts were applied to orders, including discount type and value.
Orders Discount Codes	Access information on discount codes used in orders, including code and discount value.
Orders Fulfillments	Monitor the status of order fulfillments, including fulfillment date and shipping method.
Orders Line Items	Includes information on products, quantities, and prices, along with fields such as SKU, product title, and applied discount.
Orders Note Attributes	Contains custom attributes associated with orders, such as customer notes, tags, and additional fields that assist in identification.
Orders Refunds	Records information about refunds, including amounts, reasons, and status, along with fields such as refund date and method used.
Orders Shipping Lines	Provides details on shipping options, including carrier, shipping cost, and estimated delivery time.
Orders Transactions	Includes data on financial transactions, such as amounts, payment methods, and payment status, along with timestamps.
Orders Visits UTM Parameters	Captures information on order visits, including UTM parameters such as source, medium, and campaign for marketing analysis.
Products	Contains details about products, including title, description, price, SKU, and images, along with information on variants.

Abandoned Checkouts

View data on abandoned checkouts, including total value, items in the cart, and abandonment date.

Customers

Track customer information, including name, email, status, and account creation date.

Events

Log important events, including event type, date, and details associated with each event.

Inventory: items

Monitor item inventory, including SKU, available quantity, and product location.

Order timeline events

Analyze order timeline events, including status, date, and actions taken during processing.

Orders

Examine order details, including order number, total value, status, and creation date.

Orders Details

Get detailed information about orders, including items, prices, quantities, and applied discounts.

Orders Discount Applications

View how discounts were applied to orders, including discount type and value.

Orders Discount Codes

Access information on discount codes used in orders, including code and discount value.

Orders Fulfillments

Monitor the status of order fulfillments, including fulfillment date and shipping method.

Orders Line Items

Includes information on products, quantities, and prices, along with fields such as SKU, product title, and applied discount.

Orders Note Attributes

Contains custom attributes associated with orders, such as customer notes, tags, and additional fields that assist in identification.

Orders Refunds

Records information about refunds, including amounts, reasons, and status, along with fields such as refund date and method used.

Orders Shipping Lines

Provides details on shipping options, including carrier, shipping cost, and estimated delivery time.

Orders Transactions

Includes data on financial transactions, such as amounts, payment methods, and payment status, along with timestamps.

Orders Visits UTM Parameters

Captures information on order visits, including UTM parameters such as source, medium, and campaign for marketing analysis.

Products

Contains details about products, including title, description, price, SKU, and images, along with information on variants.

See all available data →

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How to send Shopify data to Excel

Sync data automatically — no code, no manual exports.

Connect Your Shopify Store

Authenticate your Shopify data source in Kondado by entering your store credentials and granting permissions for the platform to read your ecommerce information.

Configure Excel Destination

Specify your Excel workbook details as the destination, ensuring the file is accessible for automated updates on your preferred schedule without requiring manual exports.

Select Data and Schedule

Choose specific pipelines like Orders or Inventory Items to replicate, then set your update frequency from every 5 minutes to daily to keep your spreadsheets current automatically.

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