Power BI Google Analytics 4 integration

Power BI Google Analytics 4

Since Google Analytics UA & 360 will be going away by July 2023, is it recommended to set up your Google analytics 4 web analytics, in this article we will learn more about Power BI Google Analytics 4.

Keep reading for more.

 

Introduction to Power BI and Google Analytics

Microsoft Power BI is a business analytics service that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

With Power BI, you can connect to, transform, and visualize data from a wide range of sources, including Excel, SQL Server, and cloud-based services such as Azure SQL Database and Salesforce. You can also use Power BI to create custom dashboards and reports that can be shared with your team or organization.

 

Introduction to Google Analytics and its role in tracking website traffic and user behavior

Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. It is the most widely used web analytics service on the internet, and is designed to help businesses, organizations, and individuals understand how visitors interact with their websites.

With Google Analytics, you can track a wide range of metrics related to your website traffic, including the number of visitors, the source of their traffic, the pages they visit, the duration of their visit, and the actions they take on your website. You can also use Google Analytics to track specific events, such as button clicks or form submissions, and to segment your visitors by various criteria such as location, device, and demographics.

In addition to tracking website traffic, Google Analytics also provides tools for analyzing user behavior, such as the ability to see how users navigate through your website, which pages are most popular, and which areas of your website may be causing visitors to leave. This can help you understand how visitors are interacting with your website and identify opportunities to improve the user experience and increase conversions.

 

Setup

Google Analytics account

If you don’t have a Google analytics account follow these steps:

  1. Go to the Google Analytics website (https://www.google.com/analytics/) and click on the “Start for free” button.
  2. Sign in to your Google account or create a new one if you don’t have one.
  3. Click on the “Sign up” button.
  4. Fill out the form with your account and property information. You’ll need to provide a name for your account, as well as the name and URL of your website.
  5. Choose the data sharing options that you want and click on the “Create” button.

 

Setup tracking

To setup tracking on your website follow the steps below:

  1. Once your account and property are set up, you’ll be given a tracking code that you’ll need to add to your website. To do this, you’ll need to access the HTML source code of your website.
  2. Locate the section of the code that corresponds to the “head” tag and paste the tracking code just before the closing “head” tag.
  3. Save your changes and upload the modified version of your website to your server.
  4. Wait a few hours or days for data to start appearing in your Google Analytics account. It can take some time for the tracking code to begin collecting data from your website.

Once you’ve added the tracking code to your website, you’ll be able to use Google Analytics to track and analyze your website traffic and user behavior. You can access your data through the Google Analytics dashboard, which provides a range of tools and reports for understanding and analyzing your website data.

 

Google Analytics types of tracking:

In Google Analytics, there are two main types of tracking: page-view tracking and event tracking.

Page-view tracking refers to the tracking of visits to individual pages on your website. By default, Google Analytics tracks page views for every page on your website that has the tracking code installed. You can see page-view data in the “All Pages” report under the “Behavior” section of the Google Analytics dashboard.

Event tracking refers to the tracking of specific actions that users take on your website, such as clicking a button or filling out a form. You can use event tracking to gather more detailed data about how users interact with your website, and to understand which elements of your website are most engaging or effective.

To set up event tracking in Google Analytics, you’ll need to modify the tracking code on your website to include additional code that specifies the events you want to track. For example, to track a button click, you might add the following code to the button element in your HTML:

 

onclick="ga('send', 'event', 'button', 'click', 'signup button');"

 

This code tells Google Analytics to send an “event” with the category “button”, action “click”, and label “signup button” whenever the button is clicked. You can then see this data in the “Events” reports under the “Behavior” section of the Google Analytics dashboard.

 

Migrating from Google Analytics UA to Google Analytics 4

  • Google Analytics 4 (GA4) is the latest version of Google Analytics, which replaces the previous version, Universal Analytics (UA). If you’re currently using UA and want to migrate to GA4, here are the steps you can follow:
  • Create a GA4 property in your Google Analytics account. To do this, sign in to your Google Analytics account and click on the “Admin” button. In the “Property” column, click on the “Create Property” button and select “Google Analytics 4” from the list of options.
  • Set up data migration from UA to GA4. To do this, you’ll need to use the Google Analytics Migration Tool, which is available in the “Data Import” section of the GA4 property settings. Follow the prompts to link your UA account and select the data you want to migrate.
  • Install the GA4 tracking code on your website. The GA4 tracking code is different from the UA tracking code, so you’ll need to replace the UA tracking code with the GA4 tracking code on your website. You can find the GA4 tracking code in the “Property” settings of your GA4 property.
  • Test and verify the GA4 tracking code on your website. You can use the Google Analytics Debugger extension for Chrome to help you test and verify that the GA4 tracking code is working correctly on your website.
  • Set up goals and events in GA4. If you want to track specific goals or events in GA4, you’ll need to set these up in your GA4 property. The process for setting up goals and events in GA4 is similar to UA, but there are some differences, so you may want to refer to the GA4 documentation for more information.

 

Connecting Google Analytics 4 to Power BI With Windsor.ai

Step 1:

Login or Register for a 30-day free trial with Windsor.ai

 

Free trial

 

Step 2:

Grant access to your Google Analytics 4 Account, the use the Google Analytics account select to choose the account that you want to analyse

 

Ga4 grant access

 

Step 3:

Go to Preview & Data destination, in the data source, select Google Analytics 4, Choose the Date range and then select the fields you need for your analysis.

 

data source, fields, date range

 

PS: Follow this link to check the full list of fields & dipowermensions.

 

Step 4:

Click on Power BI under “Data Destination” and copy your API URL, then in Power BI click on Get Data -> From web and paste your API URL there, and click “ok”.

 

API URL power bi

 

Visualizing and analyzing Google Analytics data in Power BI

There are many ways you can use Power BI’s visualization and analysis tools to extract insights from Google Analytics data. Here are a few examples:

  • Create a dashboard to track key performance indicators (KPIs).

You can use Power BI to create a dashboard that displays key metrics such as website traffic, conversion rate, and bounce rate. You can also use Power BI to create custom measures and calculations to help you understand the trends and patterns in your data.

  • Visualize user behavior data.

Power BI includes a range of visualization types, such as maps, scatterplots, and bubble charts, that can help you understand how users are interacting with your website. For example, you can use a map visualization to see where your visitors are coming from, or use a scatterplot to see how different page elements are related to each other.

  • Analyze user segments.

You can use Power BI to segment your data by various criteria, such as location, device, and referral source, to understand how different groups of users are interacting with your website. This can help you identify opportunities to optimize your website for specific segments of your audience.

  • Use machine learning tools to predict future trends.

Power BI includes a range of machine learning tools, such as the Forecast function, that can help you make predictions about future trends in your data. You can use these tools to forecast metrics such as website traffic and conversion rate, and to identify potential opportunities or challenges in the future.

 

Why choose Windsor.ai’s Google Analytics 4 connector

In the last few month there has been a lot of commotion about the Google Analytics quota limits and how to get around them, but before we get to that let’s first learn what are these limitations:

  • Maximum number of hits per property per day: GA4 allows a maximum of 10 million hits per property per day. A hit is defined as any request to the GA4 servers, such as a pageview or event. If you exceed this limit, GA4 may discard some of your data to stay within the quota.
  • Maximum number of events per hit: GA4 allows a maximum of 20 custom events per hit. If you exceed this limit, GA4 may discard some of your events to stay within the quota.
  • Maximum size of a hit payload: GA4 allows a maximum hit size of 8 KB. If you exceed this limit, GA4 may discard some of your data to stay within the quota.
  • Maximum number of user properties per property: GA4 allows a maximum of 25 user properties per property. User properties are custom dimensions that you can use to segment your data. If you exceed this limit, you may need to consolidate or remove some of your user properties.

With Windsor.ai you will not have to face anything of this limits and issues, because once you connect you Google Analytics 4 Data using Windsor.ai’s tool, your data will be cached and can be retrieved at any time without hitting any quota limits or issues.

 

Google Analytics 4 Pros and Cons

GA4 pros:

Google Analytics (GA4) is the latest version of Google Analytics, which offers a number of benefits over the previous version, Universal Analytics (UA). Here are some of the pros of GA4:

  • Improved data privacy: GA4 includes a number of features designed to protect user privacy, such as automatic masking of IP addresses, support for cookie-less tracking, and the ability to disable tracking for specific users.
  • Machine learning capabilities: GA4 includes a range of machine learning tools, such as the Forecast function and anomaly detection, that can help you make predictions about future trends and identify unusual patterns in your data.
  • Enhanced cross-device tracking: GA4 includes improved cross-device tracking capabilities, which allow you to see how users interact with your website and apps across different devices.
  • Enhanced event tracking: GA4 includes a new event model that allows you to track a wider range of events, such as pageviews, clicks, and form submissions, and to set up custom event parameters to track more specific details about user interactions.
  • Improved integration with other Google products: GA4 is closely integrated with other Google products, such as Google Ads and Google Cloud, which can make it easier to use GA4 in conjunction with these products.

 

Google Analytics 4 cons:

While Google Analytics 4 (GA4) offers a number of benefits over the previous version, Universal Analytics (UA), it also has some limitations and drawbacks. Here are a few cons of GA4:

  • Limited backward compatibility: GA4 is a new platform that is not fully backward compatible with UA, which means that some features and functionality that are available in UA may not be available in GA4. For example, GA4 does not support some UA features such as custom variables, and some UA reports and features may not be available in GA4.
  • Lack of support for some third-party tools: Some third-party tools that are compatible with UA may not be compatible with GA4, or may require additional work to integrate with GA4.
  • Complexity: GA4 includes a wide range of features and functionality, which can make it more complex than UA for some users. This may require more time and effort to learn and use GA4 effectively.
  • Limited support for older browsers: GA4 does not support some older browsers, such as Internet Explorer, which can limit the ability of users with these browsers to access GA4.

 

Tips for troubleshooting common issues with the Google Analytics integration in Power BI

Here are some tips for troubleshooting common issues with the Google Analytics integration in Power BI:

Check your Power BI and Google Analytics settings: Make sure that you have correctly set up the integration between Power BI and Google Analytics, and that you have the correct permissions to access your Google Analytics data in Power BI.

  • Check your data sources connections: Make sure that your data sources connections are working correctly, and that you have the correct credentials to connect to your Google Analytics data.
  • Check your data refresh settings: Make sure that your data refresh settings are correct, and that your data is being updated on a regular basis. You may need to adjust your data refresh schedule or manually refresh your data if it is not updating as expected.
  • Check for errors in the data: If you are experiencing issues with your Google Analytics data in Power BI, check for errors in the data, such as missing values or incorrect data types. You may need to clean or transform your data to fix these issues.
  • Check for issues with your data visualization: If you are experiencing issues with your data visualizations, such as incorrect data being displayed or visualizations not appearing as expected, check your visualization settings and ensure that you have the correct data fields selected.
  • Check for issues with your data model: If you are experiencing issues with your data model, such as errors in your custom measures or calculations, check your data model and ensure that it is correctly set up and configured.

Troubleshooting issues with the Google Analytics integration in Power BI may require some trial and error and a bit of investigation, but following these tips can help you identify and resolve common issues.

 

Conclusion: Power BI Google Analytics 4

Integrating Google Analytics 4 with Power BI allows you to analyze and visualize your website data in a powerful and flexible platform, and can provide a number of benefits, such as Improved data analysis, Enhanced data visualization, Real-time data updates, Improved collaboration and sharing, Enhanced integration with other tools and services.

 

FAQ: Power BI Google Analytics 4 Integration

What data can I access in Power BI using the GA4 integration?

You can access a wide range of data in Power BI using the GA4 integration, including pageviews, events, user demographics, and custom dimensions, for the full list of fields follow this link.

 

How do I set up the GA4 integration in Power BI?

To set up the GA4 integration in Power BI, you’ll need to sign in to your Google Analytics account, create a GA4 property, and obtain the tracking code for your website. You’ll then need to add the tracking code to your website, and connect to your GA4 data in Power BI using the “Google Analytics” connector.

 

Can I use the GA4 integration in Power BI to track goals and events?

Yes, you can use the GA4 integration in Power BI to track goals and events.

 

How to Connect Google Analytics 4 to Power Bi?

To connect Google Analytics 4 to Power BI you would need to use Power Bi Connector such as Windsor.ai’s Connectors. Or Download and load your Data manually.

 

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