How To Create And Use GA4 Audiences To Drive Business Growth

You’ve made the leap. You’ve switched from Universal Analytics to Google Analytics 4 (GA4), full of hope and anticipation. But the shine of the new platform is starting to wear off as you navigate its complexities. It feels overwhelming. I’ve been there, too. I  was confused, frustrated, and even had that little voice questioning, “Was this transition necessary?”

GA4 may feel like a tough nut to crack right now, but it’s worth it.

I recall one of my digital marketing agency’s early campaigns after switching to GA4. We were marketing a product line for one of our clients. With Universal Analytics, we had a broad audience and some insights, but our insights were still limited.

Then, GA4 introduced a new way to create audiences based on events. It was a game-changer. It allowed us to pinpoint specific groups of users and compare their behavior to the rest of our data. We managed to create a tailored campaign, reaching the right people at the right time. It’s like having the ability to zoom in and see every minute detail clearly.

The result? A notable boost in conversions and a happy client.

The main takeaway? GA4 audiences are much more flexible and offer advanced opportunities. They might initially seem confusing, but the benefits are immense once you understand how audiences in GA4 work.

In this guide, I’ll walk you through GA4 audiences. We’ll dive into what they are, how they differ from Universal Analytics, and how to create and use them effectively for your business.

So, are you ready to use GA4 audiences for successful marketing campaigns? This simple guide will help you gain deeper insights into user behavior and make data-driven decisions. Let’s start!

Table of Contents:

• What Are Audiences in Google Analytics 4?
  • UA vs GA4 Audiences – What’s the difference?
• A Step-By-Step Guide To Creating Audiences in GA4
• Speed Up The GA4 Audience Creation Process with These 3 Audience Templates
• Leverage Machine Learning with GA4 Predictive Audiences To Maximize ROI
  • How to create and use GA4 Predictive Audiences
  • What Can You Do With Audience Triggers in Google Analytics 4?
• What Can You Use GA4 Audiences For?
  • Reporting
  • Advertising
  • A/B and Multivariate Testing
• Final Thoughts

What Are Audiences in Google Analytics 4?

If you want to taste all the Google Analytics 4 benefits, you’ll want to familiarize yourself with GA4 audiences. Simply put, audiences in GA4 are groups of users who share common attributes based on any data you consider important. You create audiences in GA4 to target those users.

Let’s say you’re running a B2B SaaS company offering productivity software. You may want to create an audience of CTOs who have visited your pricing page but didn’t sign up for the trial. With GA4, you can create such a specific audience with ease.

GA4 audiences are like high-definition portraits of your users, which you can craft on several factors:

• Demographics: These are fundamental user attributes such as age, job title, geographic location, and more.
• Acquisition Channels: How did your users find your website or app? It could be through social media, organic search, paid ads, email campaigns, or any other sources.
• User Behavior: This involves actions users take on your platform, like visiting a specific page, downloading a resource, or interacting with a particular feature.
• Purchasing Behavior: Audiences can also be crafted based on actions like signing up for a trial, upgrading to a paid plan, or perhaps, abandoning the cart during the checkout process.

But the coolest thing about audiences in GA4 is that they’re super flexible. For instance, you could create an audience of people who visited your pricing page and signed up for a webinar, all within the same week.

Also, I love that GA4 is constantly updating these audiences. So as new people visit your website, GA4 is constantly checking to see if they fit into any of your audiences.

UA vs GA4 Audiences – What’s the difference?

When you switch from Universal Analytics (UA) to Google Analytics 4 (GA4), there’s much to learn. One question many of my clients have is about the difference between UA and GA4 audiences.

Here’s the short answer: Universal Analytics audiences are based on “sessions,” while GA4 audiences are built on “events.”

Now, if you’re scratching your head thinking, “What’s the difference between a session and an event?” don’t worry – it’s simpler than it sounds.

In UA, a “session” is a group of interactions someone has with your website within a certain period. Let’s say a person visits your website, checks out your latest blog post, and leaves. That’s one session. If the same person returns later in the day and reads another blog post, that’s a second session.

On the other hand, GA4 uses “events” instead of sessions. An event is any interaction a person has with your site or app. For example, reading a blog post is an event. Signing up for a newsletter is another event. Even something as simple as clicking a link can be considered an event.

This change from sessions to events gives Google Analytics 4 audiences much more flexibility. For instance, you could make an audience out of people who have read a specific blog post or signed up for a particular webinar. That wasn’t possible with UA because UA audiences were all about sessions, not individual events.

Plus, there’s another big difference: GA4 updates audiences in real-time, while UA updated them daily. That means you can use GA4 audiences to target ads to people right after they interact with your site or app. It also means your reports based on audiences will always be up-to-the-minute.

A Step-By-Step Guide To Creating Audiences in GA4

Here are ten simple steps you can follow to create custom audiences in GA4:

1. Navigate to the Admin Panel: Click ‘Admin’ in the left-side navigation bar of your GA4 dashboard.
2. Access Audiences: Under the ‘Property’ column, click ‘Audiences.’
3. Create a New Audience: Click the ‘New Audience’ button.
4. Choose Your Audience Type: You now have three options – create a new audience by defining all the parameters yourself, use a template and modify the existing parameters, or select a suggested audience that you can use as is or modify to suit your needs. For a custom audience, click ‘Create a custom audience.’
5. Name Your Audience: Provide a name and description for the audience to help you identify it later.
6. Add New Conditions: Click ‘Add new condition’ to include users who meet specific conditions based on dimensions, metrics, and events. For example, you can target users of a specific age range, like 18-24 or 25-34.
7. Set Condition Scope: Choose how broadly the conditions should apply. You can select ‘Across all sessions,’ ‘Within the same session,’ or ‘Within the same event.’
8. Refine Conditions (optional): You can add more ‘OR’ or ‘AND’ conditions as necessary, add another condition group with ‘Add condition group,’ or create sequences of actions with ‘Add sequence.’
9. Exclude Specific Users (optional): Use the ‘Add group to exclude’ to remove specific users from the audience based on certain conditions.
10. Save Your Audience: Once satisfied with your audience parameters, click ‘Save.’

The audience you’ve created can be utilized in your marketing platform to target your ad campaigns, allowing you to reach users who are most likely to engage with your business.

Speed Up The GA4 Audience Creation Process with These 3 Audience Templates

Building an effective audience can be a daunting task, especially when you’re pressed for time or unsure where to start. You might find yourself navigating through a maze of metrics and dimensions, trying to pinpoint the perfect mix that accurately defines your target audience. But did you consider using GA4’s Audience Templates?

These templates are pre-configured with dimensions and/or metrics widely applicable for various types of businesses, providing a solid starting point.

Here are the three key audience templates that GA4 offers:

• Demographics: This template helps you focus on demographic variables like age, gender, language, interests, and location. For instance, if you want to target young purchasers, the Demographics template can guide you in setting these parameters swiftly and accurately.
• Technology: This template is essential when your goal is to analyze user behavior across different technologies. It allows you to segment your audiences based on factors like device type, browser choice, and operating system. This could be particularly useful for enhancing your site’s user experience across various platforms.
• Acquisition: This template is designed to help you understand your users’ origin. By segmenting your audience based on their source, medium, campaign, ad content, or keyword, you can identify your most potent user acquisition channels and optimize your marketing strategies accordingly.

Using a template is easy:

1. 1. Navigate to ‘Audiences’ in the GA4 admin panel.
   2. Click ‘New Audience,’ then select ‘Use a template.’
   3. Choose the template that suits your needs, for example, ‘Demographics’ for defining an audience based on demographic attributes.
   4. Specify the operators and dimension values that define your audience, such as ‘Age exactly matches 25-30’ and ‘Gender exactly matches male’ if using the Demographics template.
   5. Once you’ve finished setting your audience parameters, name your audience and click ‘Save.’

Leverage Machine Learning with GA4 Predictive Audiences To Maximize ROI

Harnessing the power of machine learning, Predictive Audiences in GA4 provide a robust and efficient way to analyze and predict future user behaviors, enabling you to create marketing strategies that are data-driven and highly personalized.

Predictive Audiences are created based on GA4’s machine learning models that analyze past user behavior to forecast future actions. With purchase probability and other predictive metrics, GA4 provides a glimpse into the potential actions of your audience, helping you tailor your marketing efforts to your target audience.

But for an audience to be considered predictive, it must meet certain criteria. Specifically, it should be based on at least one predictive metric and meet the three conditions associated with these metrics. Once these requirements are fulfilled, the audience can have any configuration.

For example, if you want to create a custom audience of shoppers from Chicago, you can leverage the power of GA4 Predictive Audiences. After defining your audience using geographic dimensions and setting up ‘Chicago’ as your city parameter, you can add a predictive condition to identify users likely to churn within seven days or likely to make a purchase. This is done by adding a new condition group and selecting the ‘Purchase Probability’ under the predictive metrics.

How to create and use GA4 Predictive Audiences

1. Navigate to the ‘Audiences’ section in the GA4 admin panel.
2. Click ‘New Audience’ and then select ‘Use a template.’
3. Set your conditions, for example, ‘Geography dimension’ and ‘City as User-scoped.’
4. Click on ‘+Add condition group.’
5. Scroll down to ‘Metrics’ → ‘Predictive,’ and select ‘Purchase probability’ under ‘User-scoped.’

Predictive metrics become available in GA4 anytime you meet their conditions. Remember, maintaining these conditions is critical, as falling below the required minimums can result in losing access to these predictive audiences.

GA4 Predictive Audiences offer five different types of audiences:

1. Likely 7-day purchasers
2. Likely 7-day churning users
3. Predicted 28-day top spenders
4. Likely first-time 7-day purchasers
5. Likely 7-day churning purchases

Having access to GA4 Predictive Audiences allows you to utilize them for a variety of strategies, such as:

• Targeting ads to users who are likely to engage in specific actions.
• Excluding users from certain campaigns, such as those likely to churn from a retention campaign.
• Segmenting users for analysis based on their likelihood of taking specific actions.

However, it’s essential to understand the limitations of machine learning models. Don’t blindly trust these algorithmic calculations. Use them as just another tool in your marketing arsenal. After all, you know your audience the best!

What Can You Do With Audience Triggers in Google Analytics 4?

As someone constantly seeking to understand and engage with my audience on a more personalized level, I found that GA4 audience triggers gave me the power to do just that, offering a new level of interaction based on users’ behaviors.

Before Google Analytics 4, defining and interacting with specific audience groups required manual efforts and lacked real-time responsiveness. But with GA4 audience triggers, I realized I could automate these interactions and adapt to user behavior in real time. My marketing strategies became more dynamic and effective.

For example, I defined an audience of users who read three or more articles on the topic of “SEO,” and I named this audience “SEOs.” By setting up an audience trigger for the custom event “seos_acquisition,” I could automatically mark the moment a user transitioned into the “SEOs” audience. This trigger allowed me to track the growth of this audience in real-time and measure the effectiveness of my content in attracting relevant users.

So, GA4 audience triggers are an innovative tool that, with a strategic approach, can do wonders for your business. That’s why I highly recommend experimenting with the audience trigger feature immediately after you finish reading this blog post. Setting these up properly might take some time, but trust me – it will become much easier to follow your growth. Features like this make Google Analytics 4 a much better platform than Universal Analytics.

What Can You Use GA4 Audiences For?

Using GA4 audiences has been, hands down, one of the most effective tools for me. Google Analytics 4 audiences help me refine my strategies and obtain valuable insights into user behavior. Here’s how I’ve been using them:

Reporting

If you’re struggling to understand the diverse groups of users who visit your website, Google Analytics audiences can be a game-changer for you. With the ability to create specific audiences and also analyze their performance, you can gain invaluable insights and tailor your strategies accordingly.

Imagine you are an enterprise software company offering cloud-based storage solutions, and you have a marketing campaign targeting tech businesses in Silicon Valley and New York. Using GA4 audiences, you can create two separate groups for these regions and analyze which area has more tech firms interested in your product. Sounds practical, right?

But GA4 goes a step further. It lets you delve into the journey of these segregated audience groups – how they found your website (SEO, social media, paid ads, etc.) and what actions they took while there (downloaded a free trial, subscribe to a newsletter, or read your blog posts).

Even more, GA4 features ‘Comparisons.’ This allows you to focus on a specific audience group and analyze their behavior in contrast to the overall user base. For instance, you can see if your Silicon Valley visitors interact differently with your site compared to those from New York.

With the custom audience Google Analytics feature, your grasp on user data gets tighter, and your report generation becomes more precise. With data-driven strategies, growing a business becomes a whole lot simpler game.

Advertising

GA4 audiences can play a significant role in boosting your advertising efforts. By leveraging them in conjunction with Google Ads, you can personalize your ad campaigns, ensuring they resonate with your target audience.

To make this magic happen, you first need to perform GA4 Google Ads integration. There’s an essential step in this process – creating product links between Analytics and your advertising products. This linking step establishes a bridge for data flow between GA4 and Google Ads.

While doing so, you can enable ‘Personalized Advertising.’ Selecting this option means that the audiences you’ve built in GA4 – the ones based on specific user behavior patterns – become accessible within your Google Ads platform.

Why is this so beneficial? Simply put, it helps you get the most out of your ad spend.

Consider this: you run a B2B tech company. Using GA4, you’ve identified an audience that frequently visits your blog posts about AI technology but hasn’t requested a demo of your AI product. With the GA4 and Google Ads integration, you can create a ‘remarketing list,’ targeting this specific audience with personalized ads about your AI product.

The potential result? Higher engagement rates and an increased likelihood of conversions. By reminding the right people of your offer’s value, you’ll be on your way to growing your business quicker.

A/B and Multivariate Testing

When you use your GA4 audiences in Google Optimize, you can create targeted experiments that aim to enhance user experience and improve conversion rates. This can include showing two different versions of your website (A/B testing) or multiple versions (Multivariate testing) to different segments of an audience to figure out which one performs better.

And the icing on the cake? If you have also linked Google Optimize with Google Ads, the audiences you export from Analytics to Optimize can be utilized in your Google Ads campaigns. In this way, your A/B testing results not only influence your website design but also shape your ad strategies, creating a consistent, optimized experience for your audience.

Final Thoughts

Audiences have taken a new dimension in Google Analytics 4, differing substantially from their functionality in Universal Analytics. It may seem intimidating at first, but in my experience, they offer far greater possibilities for nuanced data analysis, personalized marketing, and higher ROI.

However, many business owners need help to transition from the familiar environment of Universal Analytics. The unique features of GA4, from its event-driven data model to its audience templates and predictive analytics capabilities, require a new approach.

Do you want to ensure you’re getting the most out of Google Analytics 4? As a Google Analytics consultant, I gave my best to help my clients navigate the changes and set up GA4 according to their unique needs.

Feel free to schedule a call today, and let’s discuss how we can make Google Analytics work in your favor.