How to Create Advanced Segments in Google Analytics (2025)

Have you ever felt overwhelmed by the large volume of data available in Google Analytics, wondering how to filter through it all to find the analytics that could transform your online strategy? 

The answer lies in mastering how to create advanced segments in Google Analytics. This powerful feature allows you to filter the noise, zoom in on the data that matters most, and uncover behaviors and patterns that can inform smarter business decisions. Whether you aim to enhance user experience, increase conversions, or tailor your marketing efforts more effectively, advanced segments of Google Analytics offer a gateway to deeper understanding and targeted analysis.

But what exactly are these segments, and how to create segments in Google Analytics effectively to leverage Google Analytics segmenting strategies? If you have these questions in your mind, you’re in the right place.

What are Google Analytics 4 Segments?

In the world of digital analytics, understanding your audience’s behavior is key to optimizing your online presence. Google Analytics segments are powerful tools that dissect your data into manageable, insightful pieces. A segment allows you to isolate and analyze specific subsets of your data based on various criteria, offering a clearer lens through which to view your users’ actions and preferences.

Basic Segments

At its most fundamental level, a basic segment in Google Analytics groups users based on pre-existing conditions. These conditions can range from their traffic source, direct, search, referral, or social to their location, the type of device they’re using (mobile, desktop, tablet), or user demographics such as age, gender, and interests.

These segments are incredibly easy to create, often available as dropdown options within Google Analytics reports. For instance, selecting a traffic source segment can quickly show you how users from search engines behave differently from those who come directly to your site.

Example of Basic Grouping: Imagine you run an online bookstore and want to understand where your visitors are coming from. By creating a segment for traffic sources, you can isolate users who find your site through search engines. This allows you to analyze their behavior—what pages they visit, how long they stay, and their conversion rate compared to visitors from other sources.

• Traffic Source: Direct, Search, Referral, Social
• Location: Countries, Cities
• Device Type: Mobile, Desktop, Tablet
• User Demographics: Age, Gender, Interests

These basic segments are useful for quick analysis, providing a general understanding of different user groups and how they interact with your site.

Advanced Segments in Google Analytics: Highly Customizable Insights

Moving beyond the basics, advanced segments offer a deeper dive into your data. You, the user, define these segments using specific conditions and dimensions. You might create a segment for users who viewed a particular product page, completed a contact form, or spent over a certain amount on their purchase.

The criteria for advanced segments can be complex, allowing you to combine multiple dimensions and metrics to create intricate user groups. This level of customization reveals hidden trends and patterns that are invisible in aggregate data, providing deeper insights into user behavior and the effectiveness of your marketing efforts.

Examples of Advanced Segments in Google Analytics

Continuing with the online bookstore example, let’s say you want to analyze the behavior of high-value customers. You create an advanced segment for users who have purchased exceeding $50. This segment could help you understand what drives higher spending, such as specific marketing campaigns, time spent on certain pages, or the path they took through your site before making a purchase.

• Custom Conditions: Viewed specific page, Completed a form, Purchase amount
• Complex Criteria: Combining conditions (e.g., viewed a page and made a purchase)
• Intricate User Groups: High-value customers, Engaged readers, Repeat visitors

Some More Examples of Advanced Segments:

• Users Who Visited a Product Page but Didn’t Purchase: This segment can help identify barriers to conversion, offering insights into product interest versus actual purchase behavior. Understanding their browsing history on other pages might reveal where users are getting distracted or losing interest.
• Mobile Users Who Engaged with Video Content: By focusing on mobile users who spent an average of 2 minutes or more engaging with video content, businesses can gauge the effectiveness of their multimedia strategies and optimize for higher engagement.
• Desktop Users Who Abandoned Their Carts: Segmenting users who added high-value products to their carts but didn’t complete the purchase can highlight issues in the checkout process or opportunities for retargeting campaigns.
• Users Who Viewed Blog Posts and Downloaded an eBook: Identifying users who interact deeply with content by viewing multiple blog posts and downloading an eBook can help recognize highly engaged users, enabling targeted outreach or content creation.

Creating advanced segments requires more effort, as you need to define the conditions in the segment builder within Google Analytics. However, the insights gained from this detailed analysis can significantly impact your strategic decisions.

Whether utilizing basic grouping for a quick overview or delving into the details with advanced segments, Google Analytics provides the necessary features to tailor your analysis to your needs. By segmenting your audience, you can uncover valuable insights that inform smarter strategies and drive your online success.

Type of Advanced Segments in Google Analytics

As mentioned earlier, you have a lot of flexibility in creating advanced segments. These segments can be divided into the following three categories.

Advanced Segments Based on Users

These segments are focused on the data for actual website visitors. In particular, these segments deal with the demographics and interests of the visitors.

Advanced Segments Based on Sessions

These segments are about sessions. Since visitors can have multiple sessions, these segments are great for analyzing user activities such as page visits.

Advanced Segments Based on Hits

These segments are more suitable for business-level analysis scenarios such as cart abandonment.

Importance of Advanced Segments in Google Analytics 4

Advanced segments in Google Analytics 4 (GA4) help marketers, analysts, and business owners to know user behavior and site performance. GA4 brings a renewed focus on user-centric analysis, emphasizing the journey rather than mere interactions. 

Let’s see how important Advance Segments are:

• Highly Customizable

One of the core strengths of advanced segments in GA4 is their high level of customization. You have the freedom to define segments using specific conditions and dimensions, tailoring the analysis to their unique objectives. 

Whether it’s tracking users who viewed a particular product page, completed a form, or spent a significant amount on a purchase, the precision in defining these segments ensures that the data you analyze is directly relevant to your goals.

• Complex Criteria

The ability to combine multiple dimensions and metrics to create intricate user groups is another pillar of the importance of advanced segments. This complexity allows for the segmentation of users based not just on single actions but on a combination of behaviors, engagements, and demographics. Such detailed criteria enable identifying very specific user groups, from high-intent shoppers to engaged content readers, providing a nuanced understanding of different audience segments.

• Deeper Insights

Advanced segments excel in revealing hidden trends and patterns that are invisible in aggregate data. By isolating specific user behaviors and transactions, analysts can uncover insights that would otherwise be diluted in the broader data set. This depth of analysis is crucial for identifying opportunities for optimization, whether in marketing strategies, website design, or content creation.

• More Effort, Greater Reward

While advanced segments require more effort to create, their targeted analysis can significantly improve user experience and conversion rates.

How to Create Advanced Segments in Google Analytics 4

The shift from Universal Analytics (UA) to Google Analytics 4 (GA4) represents a significant evolution in how data is collected, analyzed, and utilized to drive decision-making. A critical aspect of this evolution is the approach to segmentation, especially when creating advanced segments. Understanding the difference between the Universal Analytics segment and the Google Analytics 4 segment is important.

Universal Analytics vs. Google Analytics 4 Segments:

In Universal Analytics, segments are applied at the report level. This means that when you create or apply a segment, it filters the data within the specific report you are viewing. This approach offers a straightforward way to compare segmented data against the site’s overall data directly within standard reports.

However, in Google Analytics 4, segments are utilized at the explore level. This shift emphasizes a more exploratory and customizable approach to data analysis. GA4’s exploration feature allows for deeper dives into data, with segments being a key tool for slicing the data in various ways to uncover insights that are not immediately apparent in standard reporting views.

Steps to Create Advanced User Segments in Google Analytics 4

Creating advanced segments in GA4 is a journey into the nuanced understanding of your users’ behaviors and interactions with your site or app. Here’s how to create these insightful segments:

1. Access Explorations: Navigate to the Explorations section within GA4. You’ll find the tools to build and analyze custom segments here.
2. Create a New Exploration: Start by clicking “Free form.” 

3. Add New Segment: Click on + to add new Segment.

3. Choose Your Segment Type: GA4 allows you to choose from User, Session, and Event segments. Each type serves different analytical purposes, from understanding overall user behavior to analyzing specific interactions or events.

Suppose we create a user segment.

Then, click on Add new condition.

4. Define Your Conditions: This step is where your segment comes to life. Specify your criteria using the dimensions and metrics available in GA4. Advanced segments thrive on multi-dimensional conditions, allowing for a detailed dissection of user groups.

Let’s suppose we select Geography as dimension and Country as user-scoped.

Next, we add Filter.

Then we select the condition as per requirement.

5. Name and Save Your Segment: Give your segment a clear, descriptive name and save it. This makes it easily accessible for future explorations or analysis within GA4. After this, we name the segment, click Save and apply.

Steps to Build Advanced Session Segments in GA4

GA4 session segments help you dig a little deeper into how users navigate your website across a single session.

These advanced session segments let you analyze a specific user session journey you want to analyze.

Let’s build an advanced session segment together!

Step 1: Navigate to Explorations

First, navigate to the Explore section in GA4. Then, click on the “+” button to start a new exploration.

Step 2: Unleash the Segment Builder

Look for the “+” icon in the Variables column and click on it. 

Here, you’ll see three options: User, Session, and Event segments. 

Since we’re focusing on session behavior, pick the Session segment.

Step 3: Add Condition to your Segment

This is where you can define your session segment. Here are multiple ways to build a session segment:

• Session Source: If you want to track users’ sessions on a specific landing page or blog post, filter by “Session source” and choose the exact URL.

• Session Duration: To track a user’s time on your site, use the “Session duration” condition.

• Tracking Events: If you want to track a particular event during the session, like adding a product to the cart or completing a form, use the “Event name” condition to pinpoint those sessions or users who shop.

Let’s create it to show you an example. Follow the below screenshot:

Next, you can add parameters according to your requirements.

Let’s suppose you have users from multiple regions with different currencies. Use the “currency” parameter as a filter to analyze “add_to_cart” behavior for users in a specific currency zone (e.g., segment for sessions where “currency” equals “EUR”).

You can combine multiple conditions using “AND”  to create super-specific segments. 

Remember:

• The “currency” parameter works in conjunction with the “value” parameter. You’ll need both to analyze total cart value based on currency.
• You can combine “currency” with other parameters like “item_category” or “item_brand” to create even more granular segments.

For example, you could segment users who added items from a specific category (e.g., “Electronics”) and filter by currency (“USD”) to analyze the average cart value for electronics purchases in US dollars.

By strategically using “currency” as a parameter, you gain valuable insights into your users’ shopping behavior across different regions and currencies. This information can help you tailor your marketing and product offerings to specific markets.

Step 4: Apply the Segment!

Once you’ve built your session segment, give it a descriptive name that reflects its purpose.

 Click on the Save and Apply button in the top right corner. Boom! Your custom segment is ready to unleash its filtering power.

Step 5: Let the Data Flow

Now, head back to your exploration. You’ll see your newly built segment under “Segment Comparisons” in the settings tab. Drag and drop it onto your analysis to see how this specific user group interacts with your site compared to the overall traffic.

By building advanced session segments, you can uncover hidden user patterns and optimize your website for better conversions.  

Tips for Creating Advanced Segments

• Start Simple: Familiarize yourself with GA4’s segment builder by starting with basic segments before progressing to more complex configurations.
• Focus on Actionable Insights: Keep your analytical goals front and center. The aim is to unearth insights that can directly influence your strategies.
• Refine and Iterate: Be prepared to adjust your segments as you delve deeper into the data. The most valuable insights often come from an iterative process of refinement.

Advanced segments in GA4 go beyond mere traffic source or location groupings, allowing for a granular analysis that can significantly impact marketing and site optimization strategies. By understanding and utilizing the advanced segmenting capabilities of GA4, you can unlock a deeper understanding of your audience, tailor your offerings more effectively, and ultimately drive better business outcomes.

Use Analytify for Advanced eCommerce Segmentation

Analytify brings advanced eCommerce segmentation within reach for WordPress users, transforming raw data into actionable insights. By using Analytify, you can better understand your customer behavior, optimize your online store, and ultimately drive increased sales and customer satisfaction. With its user-friendly interface and powerful analytics capabilities, Analytify is an indispensable tool for any eCommerce business looking to thrive in the digital age.

Analytify, the most advanced Google Analytics Plugin brings all this information to your website’s dashboard through its eCommerce Tracking modules for both WooCommerce and Easy Digital Downloads. When any of these modules is active, you can see advanced eCommerce stats such as volume and revenue of transactions, products added and removed from the cart, and unique transactions.

In addition, you can also see information such as Top Countries by Sale and Product Performance Information, including revenue and number sales for each product in your store along with other useful metrics.

FAQs about Advanced Segments in Google Analytics and Analytify

Conclusion

Understanding your data is important for making informed decisions that drive growth and improve user experience. This article has covered in detail the advanced segments in Google Analytics 4, highlighting their significance and the transformative insights they offer.

We began by exploring what a segment in Google Analytics entails, establishing the foundation for deeper analysis by isolating specific user behaviors and trends. The transition from Universal Analytics to Google Analytics 4 segments marked a pivotal shift, emphasizing a more exploratory and customizable approach to data analysis. This shift underscores the importance of segments in GA4, which are instrumental in uncovering hidden patterns and informing targeted strategies.

The discussion on how to create advanced segments in Google Analytics provided a step-by-step guide, from accessing the Explorations section to defining complex conditions that tailor segments to precise analytical needs. This process enhances the understanding of user interactions and facilitates optimizing marketing efforts and website design.

Furthermore, the integration of Analytify brings advanced e-commerce segmentation capabilities to WordPress websites, simplifying the application of GA4’s powerful analytics. Analytify enhances eCommerce strategies by offering detailed insights into customer behaviors, enabling businesses to tailor their online presence and marketing tactics for maximum impact.

The importance of advanced segments in GA4 cannot be overstated, offering a depth of analysis that goes beyond basic groupings to reveal actionable insights. These segments are the key to understanding specific user groups based on complex criteria, providing a competitive edge in the digital marketplace.

We hope this article has helped you create advanced segments in Google Analytics 4. If you have any more questions, feel free to ask in the comments section. 

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