Google Analytics 4 vs Universal Analytics: What does this mean for you?

Universal Analytics primarily focused on session-centric data such as page views, which, while effective, left out some crucial details regarding user activities on a website. It tracked the user flow during a single session, providing insights on metrics like bounce rates, session duration, and page views.

GA4 on the other hand has shifted the focus to a user-centric and event based data model, enabling more precise event tracking of user interactions with a website. Now, events like video plays, form submissions, and button clicks are all monitored, providing a more holistic view of user behaviour over time. This shift not only provides a more comprehensive overview of how users interact with your site but also presents an enhanced way to optimise your website based on GA4's insightful data.

What does this mean for you?

With GA4’s user-centric data model, you now have a sharper lens through which to view your audience’s interactions on your site. By understanding the nuances of user behaviour, you can tailor your marketing strategies more effectively, ensure content relevance, and identify areas on your site that are performing well or need improvement.

This is a part of Google's wider strategy to leverage advanced analytics to offer actionable insights and enable data driven decisions.

Here’s a glimpse of what GA4’s AI capabilities offer:

• AI Driven Predictive Analytics
  GA4’s AI can analyse historical data to predict future user behaviours such as the likelihood of a user making a purchase. This foresight allows you to tailor your marketing strategies, such as targeting users with higher purchase probabilities with special offers to encourage conversions.
• Automated Recommendations with Data-Driven Suggestions
  GA4 provides automated recommendations based on your data trends. For instance, it might suggest optimising a particular campaign that’s performing well or revisiting the strategies for underperforming ones.
• Anomaly Detection
  Anomaly detection in GA4 alerts you to data points that significantly deviate from expected patterns. This is crucial for identifying potential issues or opportunities that may otherwise go unnoticed.
• Natural Language Processing (NLP)
  NLP in GA4 allows you to query your data using natural language. For instance, you can ask, "What was the top referral source last month?" in the search bar and get a direct answer, bypassing the need to navigate through multiple reports.

The AI and machine learning features in GA4 not only save valuable time and resources but also present a notable advancement from UA, aiding in quicker trend spotting and opportunity capitalisation.

What does this mean for you?

The AI capabilities in GA4 can be a great tool to improve the performance of your marketing campaigns. Predictive metrics and insights can help forecast the potential actions of your users, allowing for more targeted marketing.

The anomaly detection can alert you early to any unforeseen issues, enabling quicker resolution. Also, the ease of querying data through NLP makes it super easy for non-technical users to find the insights they are after! In turn, it saves you time, which can be redirected to strategising and optimising campaigns.

This change, while subtle in daily operations, underscores a more privacy-centric approach, ensuring compliance as Google transitions away from third-party cookies and IP tracking.

What does this mean for you?

The privacy-centric approach of GA4 means you can collect data while staying compliant with privacy laws. This not only fosters trust with your audience but also shields you from potential legal complications. Furthermore, as the digital landscape evolves towards more stringent privacy regulations, adapting to GA4 places you a step ahead in maintaining a compliant and effective data tracking system.

Unlike UA, where separate analytics properties were needed, GA4’s use of first-party cookies facilitates unified tracking across your website and mobile app, providing a more nuanced understanding of user interactions across different touchpoints.

What does this mean for you?

The unified tracking feature of GA4 alleviates the hassle of managing multiple analytics properties, thereby streamlining your data analysis process (it’s all available in one view now!) You can therefore more easily track your user’s journey cohesively across different platforms, which is instrumental in understanding the multi-device behaviour of your audience. This holistic view enables more informed decision-making in strategising your cross-platform marketing campaigns.

Life Cycle reports provide insights into user acquisition, engagement, and retention. This is a move away from the more static reporting seen in Universal Analytics, offering a dynamic insight into user progression through your digital platforms. Additionally, customer journey analytics in GA4 provide a detailed narrative of a user's interaction from the first touchpoint onwards.

What does this mean for you?

With the Life Cycle reports and customer journey analytics, you can now follow your users from the first interaction to conversion and beyond. This provides a more comprehensive understanding of your user's journey, allowing you to identify key touchpoints and optimise your marketing strategies for better engagement and higher conversions. You will have the ability to pinpoint where users drop off, and what drives them to convert, providing actionable insights to enhance your marketing campaigns.

The cross channel data measurement feature in GA4 allows for a consolidated view of user interactions across various channels, be it paid, organic, or social.

This is crucial in optimising your ad spend and understanding the user journey across multiple touchpoints.

What does this mean for you?

The integration with Google Ads and the capability for cross channel data measurement will streamline your advertising efforts. You can easily track the performance of your ads across different channels from one platform, making it simpler to measure ROI and optimise ad spend. Moreover, understanding the cross-channel user journey can provide valuable insights into how different channels contribute to your conversions and where your advertising budget is best allocated.