Enhancing Google Analytics 4 reports with Power BI visualization

Back to article list

In this age of data-driven marketing, Google Analytics 4 (GA4) is the default choice to monitor website and app activity. While GA4 offers strong tracking functionality and basic reporting capabilities, most marketers and analysts want more from their visualization capabilities. That is where Microsoft Power BI steps in to offer richer visualization capabilities that can transform your GA4 data into better, more interactive, and comprehensive reports.

If you’ve been using GA4 but are frustrated with the limitations of its inbuilt reporting interface, you’re not alone. Common frustrations include not being able to construct some types of visualizations, finding it hard to combine GA4 data with other sources, and limitations on customizability. Power BI addresses these headaches by providing a flexible environment where your data can truly be a star.

Here in this blog, we will see how we can enhance your GA4 reporting with the help of Power BI’s visualization capabilities, taking you through the process of connecting, presenting certain visualization examples, and also offering practical implementation tips.

The limitations of GA4’s reporting

Before diving into Power BI solutions, let’s identify some specific limitations in GA4’s native reporting that might be hindering your analysis:

Connecting GA4 to Power BI: The basics

Let’s start with establishing a connection between GA4 and Power BI.

Step 1: Set up the Google Analytics connector

  1. Open Power BI Desktop and select “Get Data” from the Home ribbon
  2. Search for “Google Analytics” in the search box
  3. Select “Google Analytics” and click “Connect”

Step 2: Select your dimensions and metrics

Once connected, you’ll need to select the specific dimensions and metrics you want to analyze:

  1. In the Navigator window, choose the GA4 property and dataset you want to use
  2. Select the tables containing the data you need (e.g., Events, User demographics, Traffic sources)
  3. Click “Transform Data” to open the Power Query Editor for data cleaning and preparation

Step 3: Transform and load your data

Before creating visualizations, you might need to transform your data:

  1. Rename columns to make them more readable
  2. Create calculated columns for custom metrics
  3. Filter out unnecessary data to improve performance
  4. Set the correct data types for each column
  5. Click “Close & Apply” to load the data into Power BI
Menu 'Close & Apply' in Power BI

Enhancing visualization: key examples

Example 1: Interactive time analysis: drill down from years to days in one click

One of GA4’s limitations is the inability to quickly explore data across different time hierarchies. In GA4, if you want to go from a yearly view to quarterly, monthly, or daily, you need to manually change date ranges and create new reports.

Power BI transforms this experience with hierarchical date analysis. As shown below, you can create time intelligence that allows users to instantly drill from annual summaries down to quarterly, monthly, and even daily data with a single click.

Visualization uses dummy data for demonstration purposes
Visualization uses dummy data for demonstration purposes

In this example, we’re analyzing website transactions across time periods. Notice how the initial view shows yearly transactions, but with just one click of the ‘Drill down all fields’ button, you can immediately see the quarterly breakdown. Another click reveals monthly details, and yet another shows daily performance.

This functionality is particularly valuable when investigating transaction spikes or drops – instead of creating multiple GA4 reports with different date ranges, you can simply drill down to pinpoint exactly when changes occurred and quickly identify patterns that might be missed in GA4’s standard reports.

The drill-down capability transforms how you analyze various GA4 metrics, not just transactions. This streamlined analysis can reduce reporting time from hours to minutes and uncover revenue opportunities that would otherwise remain hidden in aggregated data.

Perfect for GA4 metrics that require temporal context

While this functionality works with any metric, it’s particularly valuable for GA4 metrics that benefit from multi-level time analysis:

  1. Sessions and users: Quickly identify seasonality patterns and growth trends across different time granularities
  2. Conversion metrics: Pinpoint exactly when conversion rates changed to correlate with specific campaigns or website changes
  3. Engagement events: Track how user interaction patterns evolve over time, from yearly trends down to day-of-week patterns
  4. Page performance: See how content performance fluctuates across different time periods
  5. Marketing channel effectiveness: Analyze how different acquisition sources perform over various time frames

By implementing these hierarchical visualizations, we can quickly answer critical business questions that would require extensive report configuration in GA4, ultimately leading to faster, more informed decision-making.

Example 2: User journey sankey diagrams – visualizing the invisible path

One of GA4’s another limitations is its inability to provide intuitive, comprehensive visualizations of user journeys through your website. While GA4 offers path exploration reports, they’re often difficult to interpret and limited in their presentation of complex multi-path journeys.

Transforming user journeys with Power BI sankey diagrams

Power BI’s sankey diagram capabilities transform how you understand user behavior by creating clear, intuitive visualizations of how visitors navigate through your website. As shown in the visualization below, this diagram instantly reveals patterns that remain hidden in standard GA4 reports.

Sankey diagram in Power BI
Visualization uses dummy data for demonstration purposes

In this visualization, we can see the complete flow of users across various pages of the website. The width of each connection represents the volume of traffic following that specific path, making it immediately apparent which routes are most common and where users tend to drop off.

Interactive insights at your fingertips

What makes this visualization particularly powerful is its interactivity. As demonstrated in the second image, hovering over any path reveals precise metrics about that specific journey segment. For instance, we can instantly see that 640 users navigated from the Blog to the Product Category page—information that would require significant digging in GA4’s standard reports.

Zoom in on sankey diagram in Power BI
Visualization uses dummy data for demonstration purposes

This interactivity extends further with Power BI’s filtering capabilities. You can click on any node to highlight all incoming and outgoing paths, helping you answer questions like:

Business impact beyond basic reporting

The sankey visualization transforms raw GA4 navigation data into actionable insights that directly impact business decisions:

  1. Conversion funnel optimization: Easily identify where users drop off in your conversion process and prioritize improvements to those critical junctions
  2. Content strategy refinement: Understand which content effectively drives users toward product pages and conversion points
  3. Navigation redesign: Discover user paths that might indicate confusing navigation or site structure issues
  4. Behavioral segmentation: Analyze how different user segments (which can be added as filters) take different paths through your website

Conclusion: Unleashing the Full Potential of Your GA4 Data with Power BI

As we’ve learned throughout this blog, the combination of GA4’s data collection capabilities with Power BI’s advanced visualization features creates a marketing analytics powerhouse that far exceeds what either platform can deliver independently.

The examples we’ve examined—from interactive time analysis to user journey sankey diagrams—represent just the beginning of what’s possible when you enhance your GA4 data with Power BI’s visualization capabilities. These tools transform raw analytics data into clear, actionable insights that drive informed decision-making and meaningful business outcomes.

The Power BI advantage

By implementing Power BI as the visualization layer for GA4 data, you gain several significant advantages:

Need help with advanced Power BI visualizations?

At Traffic Builders, we specialize in creating customized Power BI solutions that transform GA4 data into powerful, actionable insights. Our team of digital analytics experts can help you:

Whether you’re just getting started with Power BI or looking to enhance your existing implementation, our team is ready to help you unlock the full potential of your GA4 data through powerful visualizations. Want more information? Feel free to contact us!

Try this next article:
Report How to prepare for post cookies era
All articles

More from Traffic Builders:
Google Analytics 4 Update: Lead Acquisition Report
Effective use of category tracking in Matomo Ecommerce
Your Google Ads CTR is ‘dropping’ and the reason is NOT AI overviews