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Unleash Shopify Insights with Data Studio

Published on: June 4 2023 by pipiads

The Slide Rule Analytics Shopify Sales Performance Dashboard is a powerful tool built in Google Data Studio that uses the Slide Rule Analytics Shopify Data Studio Connector to pull data directly from Shopify. In this article, we will explore the advantages of using Shopify data directly, the benefits of using Google Data Studio, and how row level data can be used to calculate more specific metrics.

Advantages of Using Shopify Data Directly:

- Single source of truth

- Shopify knows how many orders and what your revenue is

- Metrics are more accurate than Google Analytics

Benefits of Using Google Data Studio:

- Customizable

- Can connect directly to your data

- Easy to update and change metrics

Using Row Level Data:

- Allows for the calculation of more specific metrics

- Can filter by any relevant metric

- Can create custom charts and graphs

The Slide Rule Analytics Shopify Sales Performance Dashboard is a powerful tool for any Shopify store owner. By using Shopify data directly and row level data, store owners can get the most accurate metrics and insights to improve their store's performance. Using Google Data Studio also allows for customization and ease of use. Overall, the dashboard provides a high-level overview of critical metrics while still allowing for customization to fit the needs of each individual store.

Data Studio Connector for Shopify - blend data

Combining metrics from two different data sources can be challenging, especially when the sources are from different Shopify stores. However, there is an easy way to achieve this using Google Data Studio.

Steps to Combine Metrics from Two Data Sources:

1. Click on one data source and shift-click the other data source that you want to blend data together with.

2. Right-click and select the option to blend data from the drop-down menu.

3. The default blending option may give you back a ratio and percentage, but you can fix this by distinguishing between the item revenue from each store.

4. Click the pencil icon to edit the metrics and call one B Revenue and the other A Revenue. Update the name to a more descriptive name such as Total Revenue.

5. Choose your currency and hit apply to add the two together.

6. Now you have a total that combines the data sources.

Using the blend data feature in Google Data Studio is an easy and quick way to combine metrics from different data sources. By following these simple steps, you can easily achieve your goal of combining revenue from multiple Shopify stores.

My Approach and Examples of Shopify Google Data Studio Dashboards

In this article, I will be discussing the approach to creating an effective ecommerce dashboard. I will also be giving some real-world examples to guide us in creating a dashboard that focuses on solving business bottlenecks.

Approach:

1. Start small with one or two dashboards and focus on the bottleneck.

2. Iterate and enlarge the dashboard based on your current analytics maturity.

3. Always focus on the business questions and drive outcomes with the dashboard.

4. Assign colleagues to each page or metric to optimize their own business.

Real-world Examples:

1. Overview Metrics: Get all the important metrics in one dashboard to track your business on a daily basis.

2. Vendor Management: Create different dashboards for each vendor to optimize their business.

3. Gross Profit Trend: Use data from Shopify and Google Analytics to calculate the profit over time and track trends.

4. Product Analyzer: Analyze the performance of top products and find the root cause of business problems.

Creating an effective ecommerce dashboard requires starting small and focusing on the bottleneck. By iterating and enlarging the dashboard based on analytics maturity, businesses can drive outcomes and optimize their business. Real-world examples show the importance of analyzing metrics and focusing on business questions to find the root cause of business problems.

How to Connect Shopify Data to Google Data Studio + Google Sheets With Power My Analytics

Hey, my name is Victor Dwyer, and today I'm going to show you how to connect Shopify data to Google Data Studio and Google Sheets. This way, you can have a comprehensive dashboard to see all your data in one place and make actionable insights off that data.

- In this article, we will learn how to connect Shopify data to Google Data Studio and Google Sheets to create a comprehensive dashboard for analyzing data and making informed business decisions.

Steps to Connect Shopify Data:

1. Use Power My Analytics as a middleman to connect Shopify data to Google Data Studio and Google Sheets.

2. Sign up for a free trial and create a new data source in the Power My Analytics account.

3. Ensure that you have full access to your Shopify account and copy your Shopify URL into the Power My Analytics account.

4. Click Create Report and select Data Studio to connect the data to Google Data Studio.

5. Navigate to the Shopify section in Google Data Studio to view the dashboard template and make any necessary adjustments.

Creating an Actionable Dashboard:

- Utilize the dashboard template provided by Power My Analytics or customize it to suit your business needs.

- Add valuable data points such as sales over time, sales by product, and returning customer rate.

- Separate charts to avoid overwhelming viewers.

Connecting Shopify Data to Google Sheets:

1. Install Power My Analytics from the add-ons section in Google Sheets.

2. Create a new sheet and use Power My Analytics to add a report for Shopify data.

3. Use pivot tables to aggregate and analyze the data in a variety of ways.

4. Create a

Import Shopify Data to Google Sheets

Hey YouTube, if you're interested in learning how to pull Shopify data into something like Google Sheets, then you've come to the right video. In this tutorial, I'll be introducing you to a tool called API Connector, which allows you to add API requests and have them pull data directly into Google Sheets. So, let's get started!

Step 1: Installing API Connector

To get started with API Connector, head over to mixedanalytics.com, and download a copy of the tool. Once you've installed the add-on, you can access it by clicking on Add-ons > API Connector > Open.

Step 2: Generating an API Key

Before we can start pulling data from Shopify, we need to generate an API key. To do this, log in to your Shopify shop, click on Apps > Manage Private Apps > Create a new private app. Give your app a name, and allow it to access your storefront using the storefront API. You can then select which permissions you'd like to give the app, such as read access for customers, inventory, and orders.

Step 3: Pulling Shopify Data

Now that we have our API key, we can start pulling Shopify data into Google Sheets. For example, to pull all of your orders into Google Sheets, simply create a new request in API Connector, and use the Shopify API documentation to build your API URL path. You can then use your API key to authenticate your request and pull the data into Google Sheets.

By following these simple steps, you can easily pull data from Shopify into Google Sheets using API Connector. Remember to stick with the latest version of the Shopify API, and use the debugger in API Connector to catch any errors. If you have any questions or comments, feel free to leave them below. Thanks for watching!

How to view multiple Shopify stores in the same Data Studio report

In this article, we will discuss how easy it is to use multiple Shopify stores and the data studio connector that is built for this purpose.

Steps to Add Multiple Stores:

1. Edit the report and click on any of the widgets to see that it is connected to the Shopify API connector.

2. Go to resource and look at manage added data sources.

3. Duplicate the data source and add an additional store URL. Your field might be empty if you only set up one store at this point.

4. Follow the steps in the instructions to create a new private app in your additional Shopify store.

5. Copy the example URL to your clipboard and paste it in the data source field.

6. Hit reconnect and accept.

7. Rename the data source to differentiate between the two stores.

8. Copy the components and paste them in the new data source.

9. Select the other data source for the copied components.

Using multiple Shopify stores and the data studio connector is simple and easy to set up. By following the above steps, you can easily add multiple stores to the same report and view data from each of them.

Understanding the Shopify API

In today's world, apps are an essential part of our daily lives. From ordering food to booking a hotel room, apps have made our lives easier and more convenient. In this article, we will explore the importance of APIs and their practical use cases.

What are APIs?

APIs stand for Application Programming Interfaces. They are a set of protocols, routines, and tools used for building software applications. APIs allow different software systems to communicate with each other, making it easier to integrate new features and services into an app.

Practical use cases of APIs:

1. Order management system: APIs can be used to build an order management system for a restaurant or a hotel. This system can help manage orders, track inventory, and communicate with customers.

2. Shopping experience: APIs can be used to create a shopping experience for customers. For example, an app can collect email addresses and use third-party email marketing to promote products.

3. Price comparison: APIs can be used to compare prices for products across different platforms. This can help customers find the best deals and increase traffic to the app.

Tips for getting started with APIs:

1. Start with the basics: It's important to understand the foundation of APIs before diving into advanced features.

2. Use resources: There are plenty of resources available online that can help you learn about APIs and their use cases.

3. Focus on practical use cases: Don't get too caught up in technical details. Instead, focus on how APIs can be used to solve real-world problems.

APIs are a crucial part of app development and can be used in a variety of practical use cases. By understanding the basics and focusing on practical applications, developers can create apps that are more efficient and user-friendly.

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