GA4 Experts

🧐 How GA4 handles Google Ads auto-tagging with GCLID and UTM parameters? Let’s break it down so you can keep your campaigns on track! Here’s how GA4 handles session data in different scenarios with Google Ads: Scenario A: When auto-tagging is ON but GA4 and Google Ads are NOT linked 👉 GA4 may show the campaign as “(not set)” ✨ Pro Tip: Always add UTM parameters as a backup for more reliable tracking. Scenario B: With auto-tagging ON and GA4 linked to Google Ads 👉 GA4 pulls data directly from Google Ads campaign names, making your tracking clear and consistent. When Both GCLID & UTM Parameters Are Present ✅ GCLID takes priority for primary session campaign tracking, while UTMs populate the “Session manual campaign” field, helpful for custom tracking! 💡 Heads up: There’s a known bug where UTM data may not show if GCLID is present, so keep an eye on this. By understanding these nuances, you’ll ensure your campaigns get the credit they deserve! 📈 #GoogleAnalytics4 #DigitalMarketing #CampaignTracking #GA4 #GoogleAds #GCLID

When it comes to consent management and tracking conversions, a few key configurations can make all the difference in data accuracy. For those implementing OneTrust CMP via Google Tag Manager, following best practices can be critical. Consent Initialization: OneTrust suggests firing the tag on Consent Initialization rather than All Pages. This approach helps ensure that tracking aligns with user consent. Non-Google Tags: Set these to "Requires additional consent" to maintain compliance and proper functioning of tracking. Google tags, however, can typically be set to "No additional consent required" if using Google’s Consent Mode. Getting these configurations right can prevent data loss and help maintain compliance – small tweaks, big impact! #CookieConsent #GA4 #DigitalMarketing #GoogleAds #LinkedInTracking #ConsentManagement

We did an audit for a client and discovered that form interaction data was being reported even when no actual form submissions occurred. This was leading to inaccurate metrics and misleading insights. How we solved this? ➡ Disabled Automatic Form Interaction Tracking: We turned off the automatic form interaction tracking feature in the enhanced measurement settings. ➡ Implemented a Data Layer: A data layer was set up to ensure that only the relevant interactions were captured. ➡ Applied Custom Events: We then implemented custom events to accurately track and report only actual form submissions. This approach not only corrected the data inaccuracies but also provided clearer insights into user behavior.

When using GA4 data in Looker Studio, be careful with dimensions and metrics to avoid errors. GA4 strictly separates dimensions (like page names) from metrics (like counts or sums). In Looker Studio, you can mix these up, like using a dimension as a metric. For example, you can count unique page visits using the 'Page Path + query string' dimension. But be cautious—aggregating dimensions in Looker Studio might give you inaccurate results, such as losing details on individual page visits. GA4 also restricts certain dimensions and metrics from being used together, but Looker Studio doesn't have these limits. So, understanding these differences is important for accurate reporting. #GA4 #GoogleAnalytics #GA4Experts #LookerStudio #Looker #DataStudio

When using GA4 data in Looker Studio, be careful with dimensions and metrics to avoid errors. GA4 strictly separates dimensions (like page names) from metrics (like counts or sums). In Looker Studio, you can mix these up, like using a dimension as a metric. For example, you can count unique page visits using the 'Page Path + query string' dimension. But be cautious—aggregating dimensions in Looker Studio might give you inaccurate results, such as losing details on individual page visits. GA4 also restricts certain dimensions and metrics from being used together, but Looker Studio doesn't have these limits. So, understanding these differences is important for accurate reporting. #GA4 #GoogleAnalytics #GA4Experts #LookerStudio #Looker #DataStudio

For a client, we found that 70% of the traffic has been attributed as "Direct". Initially, we were unable to determine the exact cause of the increase in "Direct" traffic on the website. However, upon further investigation, we reviewed the report on untagged pages and identified several pages that were not properly tagged. After verifying these pages, it became clear that the lack of proper tagging was causing GA4 to categorize traffic from these pages as "Direct." This misclassification contributed to the inflated "Direct" traffic figures. To address this issue, it is crucial to ensure that all pages on the website are correctly tagged to provide accurate tracking and reporting. #GA4 #UntaggedPages #DirectTraffic #GA4Experts

Using GA4 with iframes can be challenging due to the same-origin policy, which restricts data sharing between the iframe and parent document. This can impact data accuracy, user identification, and session tracking. To ensure proper tracking, fire the GA4 tag outside the iframe, use the `window.postMessage` API for communication, or handle all tracking in the parent document. These methods help maintain data integrity and simplify implementation. To learn more, refer to the document below #GA4 #Analytics #Iframes #DataTracking #GA4Experts #GoogleAnalytics

Google Tag has a new feature to help marketers and developers track user behavior more easily and get better insights. Swipe through to learn what it is, how it works, and why it’s important for your analytics! 👉📊

New GA4 Real-Time Report Feature: Users Per Minute GA4 now allows you to see users per minute in real-time reports, providing more detailed insights. Note: Some accounts might show two "Users in last 30 mins" scorecards, where the second one actually displays data for the last 5 minutes due to a minor issuue. #GA4Update #RealtimeReport #GA4 #GA4Experts #Analytics #dataanalytics #webanalytics #businessanalytics #googleanalytics #adobeeanalytics

In Google Analytics 4 (GA4), audiences are used to group users based on their behavior or attributes. These audiences can then be used for targeting in advertising, analysis, and more. Here's an overview of the key aspects of audiences in GA4: 📌 Audience Definition: Audiences can be defined based on various criteria such as demographics (age, gender), interests, behaviors (like app or website interactions), technology used (device, browser), and more. 📌 Audience Creation: Audiences can be created using the built-in templates that define common segments like new users, returning users, purchasers, and others. Custom audiences can also be created based on specific criteria. 📌 Audience Scope: Audiences can be either session-based or user-based. Session-based audiences include users who have performed a specific action in a single session, while user-based audiences include users who have performed an action over multiple sessions. 📌 Audience Activation: Once created, audiences can be activated for various purposes. For example, they can be used in Google Ads for remarketing campaigns or in analysis to understand the behavior of specific user groups. 📌 Audience Reporting: GA4 provides reporting on audience behavior, showing metrics like conversion rates, average session duration, and more for different audience segments. This helps in understanding the performance of different user groups. Overall, audiences in GA4 play a crucial role in understanding user behavior, targeting specific user segments, and optimizing marketing efforts for better performance. Audiences can be edited and archived as needed. Editing an audience allows you to modify its description and name. If you have reached your limit of 100 audiences and need to create new ones, you can archive the ones that are no longer relevant, and then create new ones. After you archive an audience, it may take up to 48 hours before you can create an audience with the same name. Archiving an audience permanently removes it. You can’t access or restore archived audiences.