Connect Shopify to Looker Studio (Google Data Studio)

Step 1: Collect data
Begin by connecting your Shopify account to Coupler.io. This step involves authorizing Coupler.io to access your Shopify data.

Once connected, select the specific data you wish to export. This could be anything from customer details to order information. Coupler.io provides a user-friendly interface, allowing you to choose exactly what data you need for your analytics in Looker Studio.



Step 2: Organize and transform data
After selecting your data, the next step is to organize and transform it to suit your reporting needs.

Coupler.io offers features to preview your data, ensuring it aligns with your requirements before the export from Shopify to Looker Studio.

• Filter and sort data to focus on relevant information.
• Change column names and order.
• Add custom columns using formulas for more advanced needs.

Step 3: Load & automate
The final step is to connect to your Looker Studio account. Follow the intuitive in-app instructions provided by Coupler.io to establish this connection.
This will create a data source in Looker Studio in which the data from Shopify will be loaded. You’ll need to make a couple of clicks with the final one on the Create Report button.



When you connect Shopify to Looker Studio with Coupler.io, you can make sure to keep your reports up-to-date. Set up a schedule that suits your reporting cycle – daily, weekly, monthly, or more frequently. This ensures that your Looker Studio reports always contain the latest Shopify data.

Automating exports of Shopify data to Looker Studio significantly enhances reporting efficiency and accuracy. It eliminates the need for manual data transfers, ensuring that your reports in Looker Studio contain the latest information from Shopify.

Coupler.io introduces an essential tool for this process: the Automatic Data Refresh feature. This is designed to keep your exported data consistently fresh and reliable. You can set a refresh interval that fits your reporting needs – from every month to as frequently as every 15 minutes. When you connect Shopify to Looker Studio for the first time, you can enable the Automatic Data Refresh right away, or you can do this at any time later.

Coupler.io’s scheduling feature allows customization to align with your specific reporting schedule:

• Users can specify the days of the week when the data refresh should occur, accommodating regular business days or any particular days critical for your data analysis.
• You can also set time preferences and time zone settings for automatic exports of your Shopify data to Looker Studio.

This means you can have the data refreshed at a specific time, aligning with your time zone, ensuring that your reports are ready for review at the start of your business day or at any time you require.

Average Order Value
Average order value (AOV) measures the average spending on an order every time the same customer places a new order. This metric lets businesses evaluate their pricing policy efficiency and customer expenditure pattern. As a result, it drives them to take targeted marketing and sales initiatives.

Total Discounts
This metric reflects the total value of discounts applied to sales. It provides insights into the impact of discount strategies on sales volume and customer acquisition.

Subtotal Price
Subtotal price indicates the total price of items in orders before taxes and shipping. This data helps you understand product performance and customer spending patterns. As you know, these are crucial for inventory and pricing strategies.

Current Subtotal Price
The current Subtotal Price represents the updated orders subtotal. It reflects any changes due to returns or exchanges. This data allows you to track revenue and understand the real-time financial health of sales.

Order Processing Time
This metric measures the time from order placement to fulfillment. Order processing time helps optimize fulfillment operations, enhance customer satisfaction, and streamline the order-to-delivery cycle.

Total Customers
The Total Customers metric offers insights into the size of the customer base. This data is helpful for customer segmentation, targeted marketing, and understanding growth in customer acquisition over time.

Total Tax
Total Tax data reveals the overall tax collected on sales. The metric is essential for accurate financial reporting, tax compliance, and understanding the tax contributions of different regions or products.

Total Sales
Total Sales represent the cumulative value of all sales over a period. This key metric helps evaluate overall business performance, identify sales trends, and make informed strategic decisions.

Outstanding Amount
Outstanding Amount reflects the total unpaid balances on orders. Use this data to manage accounts receivable, improve cash flow management, and identify potential payment collection issues.

With Coupler.io, you can seamlessly connect Shopify to Looker Studio or any other alternative destination app.

• For those who prefer working with spreadsheets, Coupler.io supports exports to Google Sheets and Microsoft Excel.
• If you want to target data warehousing, connect Shopify to data warehouses: BigQuery, PostgreSQL, and Redshift.
• If you rely on BI tools for your data analysis, you can export Shopify data to Looker Studio, Power BI, Tableau, and Qlik.

The process of switching between these destinations is remarkably user-friendly. Coupler.io allows users to easily copy their importers and select a new destination from the list. This ensures a hassle-free transition that aligns with your evolving business needs.

Combine Shopify data with information from other sources in Looker Studio for advanced reporting. Coupler.io offers two powerful options for blending data from different sources:

• The union method allows you to append data from one source to another. To union data successfully, make sure that columns across the blended sources have identical names. This will facilitate a straightforward aggregation of data elements.
• The join option allows you to align data from two distinct sources side by side. For this, make sure that each dataset has at least one matching column. This approach is perfect when you need to correlate data points across different platforms.

To blend data in Coupler.io, click the Add one more source button and configure the connection as usual. There's no limit to the number of sources to combine. You can add varied accounts of the same data source or choose diverse source applications.

Data blending flexibility allows you to create multidimensional datasets for closed-loop analytics. You can combine CRM, marketing platforms, and other data sources for a holistic view of your operations