You may already be familiar with Google Analytics, the powerful data analysis tool that has been instrumental in helping businesses of all sizes understand user behavior on their websites and apps.
However, Google decided to go a step further and released a new version of Google Analytics known as Google Analytics 4.
In this post, we will explore the changes brought by the latest version of Google Analytics and understand how it works. If you're a marketer, online business owner, or simply interested in better understanding your website's performance, this article is for you.
So, get ready to discover what's new in Google Analytics 4 and how this powerful tool can help boost your online business.
Let's explore the changes, features and benefits of this new version, empowering you to make more informed and strategic decisions for the success of your business.
What you will see in today’s content
- An overview of Google Analytics updates.
- What Universal Analytics was and GA4’s current role.
- The main changes introduced by Google Analytics 4.
- How event based data collection works.
- The use of machine learning and privacy features.
- The new interface, reports, and the Explorations area.
- How to analyze engagement rate, engaged sessions, and funnels.
- Integrations with Google Ads and BigQuery.
- How GA4 helps with marketing decision making.
Good reading!
An overview of Google Analytics updates
Google Analytics has undergone several updates over the past few years, which have always been focused on providing users with a more accurate data analysis, comprehensive and future-oriented.
As a versatile tool for marketing strategies that require the collection and interpretation of data, Google Analytics has also had to evolve and adapt as consumer behavior changes.
Here's an overview of the major Google Analytics updates:
Universal Analytics
Universal Analytics was an important step in the evolution of digital measurement, but it now belongs to a completed product cycle.
Since July 1, 2023, standard properties have stopped processing new data, and Google’s current measurement framework is centered on Google Analytics 4, which uses an event based structure designed for both websites and apps.
Google Analytics 4
O Google Analytics 4 (GA4) is the latest version of Google Analytics, released in October 2020. It represents a significant change from the previous version.
GA4 takes an event-driven approach, tracking events across your entire website or app to provide a more granular understanding of user behavior.
It also uses machine learning to deliver advanced insights and addresses privacy concerns with anti-tracking measures.
Integration with Google Ads
Google Analytics offers direct integration with Google Ads, allowing you to track the performance of ad campaigns and optimize them based on analytics data.
This integration allows you to track conversions, analyze the behavior of users arriving through ads, and understand the return on investment (ROI) of your advertising campaigns.
Ecommerce Features
The tool offers robust ecommerce analytics for technology-oriented business websites. It provides insights into transactions, revenue, conversion rate, product performance, purchase funnels, and more.
This allows online store owners to understand users' purchasing behavior and identify optimization opportunities.
Real-time analysis
Google Analytics offers real-time analytics so you can monitor your website traffic and events in real time. This is useful for tracking the immediate impact of campaigns, specific events, or product launches.
Personalization and targeting features
Another difference with Google Analytics is that it allows you to create custom segments based on specific criteria, such as geographic location, user behavior, traffic source, and more.
In turn, this enables more targeted analysis and provides valuable insights into different user groups.
This is an overview of the latest updates and key features of Google Analytics.
The overall goal of these updates is to provide users with more advanced, comprehensive, and targeted data analytics to help better understand user behavior, optimize marketing campaigns, and make data-driven strategic decisions that actually more accurately reflect their needs. , pains, and interests of your potential customers.
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What changed with Google Analytics 4?
Google Analytics 4 represents a significant evolution compared to the previous version. With the growing importance of mobile devices and digital experiences multicanais, Google realized the need to provide a more robust and future-oriented solution.
In this new model, Google Analytics 4 focuses on event data and allows marketers to gain more comprehensive insights into user engagement across different touchpoints.
It uses machine learning to provide a deeper understanding of user behavior and a clearer view of the impact of your marketing actions.
Compared with earlier versions, GA4 uses a structure that is more aligned with privacy and data modeling.
In practice, data collection depends on tag implementation, the user’s consent choices, and features such as consent mode, which helps measure interactions in a way that better fits today’s tracking restrictions.
New functions
Google Analytics 4 brought a number of significant changes compared to the last version. Below are some of the main changes:
Event-driven approach
The main change in Google Analytics 4 is related to an event-driven approach.
Instead of focusing only on pages viewed, GA4 tracks events across the entire website or app, enabling a more detailed understanding of user behavior.
This way, you can track specific actions, such as button clicks, video viewing, file downloads, among others.
Enhanced use of AI
Google Analytics 4 uses machine learning to provide deeper, automated insights.
In this sense, it is able to analyze data and identify patterns, segment audiences based on similar behaviors and predict future performance, helping marketers make more informed and data-driven decisions.
Privacy and anti-tracking measures
GA4 was designed with growing privacy concerns and anti-tracking measures in mind.
To do so, the tool uses cookieless measurement technology to track user traffic and engagement, even when cookies are blocked.
Additionally, it offers features to help with compliance with regulations such as GDPR and CCPA.
Integration between devices:
With the increased use of mobile devices, GA4 was developed to provide a more comprehensive view of user behavior across different devices.
It allows you to track users across multiple platforms and provides insights into how users interact with your website or app across different devices and channels.
New interface and improved reports
GA4 features a new interface that is more intuitive and easier to use. Reports have been improved to provide more relevant and customizable insights.
You can create conversion funnels, explore specific event performance, analyze the customer lifecycle, and more.
It is also worth adding that GA4 organizes analysis into standard reports, realtime views, and the Explorations workspace, where features such as funnels and deeper journey analysis are available. This makes it easier for the reader to understand not only what the platform measures, but also where each type of insight is found in the current interface.
These are the main changes that were introduced by the latest update, taking us up to Google Analytics 4.
With the new event-driven approach, use of AI and focus on privacy, this release gives marketers powerful tools to better understand user behavior and make more informed strategic decisions.
How does Google Analytics 4 work?
Google Analytics 4 (formerly known as "App + Web") is the latest version of Google's data analytics platform. It is designed to provide valuable insights into user behavior on websites and apps.
Here's a summary of how Google Analytics 4 works:
- Setup: to get started, you need to create a GA4 property, configure a data stream, and install the measurement ID through the Google tag or Google Tag Manager so that your website or app can send data correctly;
- Data Collection: Google Analytics 4 uses a data collection model event-based. This means you define specific events you want to track, such as page views, button clicks, file downloads, completed transactions, etc.
When an event occurs, you send custom event code to Google Analytics 4, which records and stores this information;
- Events and parameters: The events model in Google Analytics 4 is flexible and allows you to customize events according to your business needs. Each event can have additional parameters to provide more details, such as the category, action, label, and value. This helps segment and analyze data more precisely;
- Data Conversion: Google Analytics 4 uses machine learning techniques to convert raw data into useful information. It automatically groups events into relevant categories and creates custom metrics based on user actions.
To top it off, it uses the “attribution model” to determine the contribution of different events to a conversion;
- Reports and insights: Google Analytics 4 offers a variety of customizable reports and dashboards to visualize your data. You can access information about user engagement, traffic acquisition, behavior, conversions, and more. There are also funnel analysis features to identify pain points in the conversion process;
- Advanced Integrations and Features: Google Analytics 4 can integrate with other Google tools like Google Ads and BigQuery for more comprehensive analytics and advanced data analysis capabilities.
Additionally, it has enhanced privacy features such as "Consent Mode" support to comply with privacy regulations such as GDPR.
It is important to highlight that Google Analytics 4 differs from Universal Analytics, the previous version of Google Analytics, in its structure and functionalities.
While Universal Analytics is still widely used, Google Analytics 4 is designed to offer a more user-centric approach adapted to changing web and app usage.
It is also worth mentioning that Google Analytics 4 has much more assertive data analysis functions to assist you in the decision-making process. In addition to also having privacy measures that allow greater security for users.
Image: Illustrative image about data analysis, reporting, and metrics in Google Analytics 4.
More accurate engagement rate analysis
In Google Analytics 4, analyzing average engagement rate and time is an important metric for understanding user engagement with your website or app.
It is also worth clarifying that engagement rate is calculated from engaged sessions, which may last longer than 10 seconds, include a key event, or contain two or more page or screen views. This makes the definition more concrete and reduces vague interpretations of the metric.
Here are some steps to perform analysis of engagement rate Using Google Analytics 4:
Define engagement events: Identify events that indicate meaningful user interactions with your website or app. This can include page views, button clicks, video plays, form submissions, time spent on a page, and more. Make sure you have events set up to track these interactions.
Set up events that represent meaningful business actions, such as form submissions, lead generation, or checkout starts. In GA4, these interactions can be marked as key events, which makes it easier to track the actions that truly signal value for your strategy.
Access engagement reports: In Google Analytics 4, you can access different reports to analyze the engagement rate. The "Explore" report provides insights into user engagement, such as number of sessions, page views, events, average time per session, and more.
Segment your audience: Use Google Analytics 4's segmentation features to analyze the engagement rate of different user segments. For example, you can segment by geographic location, device, traffic source, or any other relevant dimension to understand how different groups of users engage with your website or app.
Compare time periods: Compare the engagement rate across different time periods to identify trends. For example, you can compare user engagement this month to the previous month, or compare engagement in different seasons. This will help identify changes in user behavior over time.
Building funnels: Use funnel analysis in Google Analytics 4 to identify pain points in your user engagement process. This allows you to visualize how users interact at different stages and where they might abandon the website or app. With this information, you can optimize your engagement flow and improve your conversion rate.
These are just a few initial steps to perform engagement rate analysis in Google Analytics 4. Remember to customize the reports and explore other relevant metrics according to your business goals and requirements.
Google Analytics 4 allows you to have greater adaptability in your analyzes and, above all, gives you more autonomy to make decisions and marketing actions that can have a more relevant impact on your potential customers.
Summary: Google Analytics 4 is a significant upgrade over the previous version, providing a more flexible, event-driven approach to data analysis. With advanced features like machine learning and event measurement, you can gain deeper insights into your target audience and make more informed decisions to drive the success of your online business.
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Frequently asked questions about Google Analytics 4
What is Google Analytics 4?
Google Analytics 4 is the latest version of Google Analytics, launched in October 2020. It was designed to provide insights into user behavior on websites and apps with an event based approach.
What changed from Universal Analytics to GA4?
The main change is that GA4 no longer focuses only on pageviews and starts tracking events across the entire website or app. It also expands the use of machine learning, strengthens privacy related features, and offers a broader view of behavior across different devices.
How does Google Analytics 4 collect data?
Google Analytics 4 collects data based on events. This allows actions such as pageviews, button clicks, file downloads, completed transactions, and other interactions configured according to business needs to be tracked.
How do you start using Google Analytics 4?
To get started, you need to create a GA4 property, configure a data stream, and install the measurement ID through Google tag or Google Tag Manager so the website or app can send data correctly.
Does GA4 allow event and analysis customization?
Yes, GA4’s event model is flexible and allows events to be customized according to business needs. Each event can include additional parameters, which helps segment and analyze data more accurately.
What reports does GA4 offer?
GA4 organizes analysis into standard reports, real time reports, and the Explorations area. These features allow you to view user engagement, traffic acquisition, behavior, conversions, funnels, and more detailed journey analysis.
How does GA4 help with engagement analysis?
GA4 helps with engagement analysis by considering metrics such as engagement rate and average engagement time. Engagement rate is calculated based on engaged sessions, which can last more than 10 seconds, have a key event, or record two or more page or screen views.
Does GA4 integrate with other Google tools?
Yes, GA4 can be integrated with tools such as Google Ads and BigQuery. These integrations allow broader analysis and help track campaigns, conversions, and performance in greater depth.
Does Google Analytics 4 focus on privacy?
Yes, GA4 was developed with privacy concerns and anti tracking measures in mind. It includes features such as cookieless measurement in certain scenarios and support for Consent Mode for measurement better adapted to the current environment.
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