{"id":861,"date":"2023-05-31T16:04:50","date_gmt":"2023-05-31T16:04:50","guid":{"rendered":"https:\/\/thedwgblog.com\/?p=861"},"modified":"2023-07-22T20:56:05","modified_gmt":"2023-07-22T20:56:05","slug":"ga4-audiences","status":"publish","type":"post","link":"https:\/\/dreamwarrior.com\/blog\/ga4-audiences\/","title":{"rendered":"GA4 Audiences"},"content":{"rendered":"

Part 5 of many about GA4\u00a0 and what is coming after UA<\/h2>\n

We will pick up this installment of the <\/span>Analytics after UA<\/span><\/a> here at the end of this article<\/span> GA4 Segments and Audiences<\/a> by focusing on building audiences in GA4.\u00a0<\/span><\/p>\n

Creating custom and remarketing audiences in Google Analytics 4<\/a> is one of the strategies to progress your analytics setup, per the GA4 checklist. You may need clarification on GA4’s comparable audiences, segments, filters, and comparative options.\u00a0<\/span><\/p>\n

Who are the GA4 audiences?<\/span><\/strong><\/h2>\n

Let’s begin by defining the target audience. Users can be grouped or segmented into audiences based on one or more demographic, geographic, or user behavior characteristics.\u00a0<\/span><\/p>\n

This segmentation of users means you can use the whole amount of data in Google Analytics 4 to build audiences. For instance, you can create the following audience:<\/span><\/p>\n

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      1. Facebook Ads Traffic from the USA<\/span><\/li>\n
      2. Google Organic Search Mobile Traffic\u00a0<\/span><\/li>\n
      3. Google Ads Desktop Traffic Paris, France<\/span><\/li>\n
      4. Users who started their first session visiting the specific landing page and scrolled more than 50% of the page\u00a0<\/span><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

        Users that arrived at the targeted landing page for the first time during their first session and scrolled more than halfway down the page\u00a0<\/span><\/p>\n

        These are all illustrations of audiences in GA4. So the question “What’s the difference between them” is excellent if you use segments in GA4 Explore.\u00a0<\/span><\/p>\n

        How To Create Audiences in GA4<\/span><\/strong><\/h2>\n

        The audience creation process in Google Analytics 4 is comparable to that in Universal Analytics. Therefore, you should launch GA4 and take the next step to do that: Click the “New Audience” button under GA4 -> Admin -> Audiences.\u00a0<\/span><\/p>\n

        \"creating
        Creating audiences in GA4<\/figcaption><\/figure>\n

        Let’s review the interface at this point. For this article, I decided to split the audiences into two types:<\/span><\/p>\n

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            1. Predefined audiences \u2013 the ones we can create using GA4 Templates<\/span><\/li>\n
            2. Custom audiences \u2013 any audience we create using GA4 “Create a custom audience” button\u00a0<\/span><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
              \"Audience
              GA4 – Building new audiences<\/figcaption><\/figure>\n

              We can create the first type of audience using Google’s templates. Then, selecting the appropriate selection and entering the value are the only things we need to change. Next, Google offers us some ideas on how we may create them.<\/p>\n

              For instance, choosing “US” as the “country id” in the demographics template makes it simple to establish an audience that includes all users from the USA.<\/p>\n

              \"GA4
              Audiences including US citizens<\/figcaption><\/figure>\n

              We can create remarketing audiences for Google Ads using customized or suggested audiences.<\/span><\/p>\n

              Predictive audiences is another intriguing Google Analytics 4 feature that allows you to run paid advertising campaigns, for example, for users more likely to churn. Send by ecommerce_purchase or in_app_purchase events to activate these audiences.<\/span><\/p>\n

              Audiences – Metric<\/span><\/strong><\/p>\n

              Definition<\/span><\/strong><\/p><\/blockquote>\n