{"id":69593,"date":"2023-08-25T03:15:37","date_gmt":"2023-08-25T07:15:37","guid":{"rendered":"https:\/\/www.kinexmedia.com\/?p=69593"},"modified":"2025-01-07T01:19:35","modified_gmt":"2025-01-07T06:19:35","slug":"how-is-ga4-different-from-universal-analytics","status":"publish","type":"post","link":"https:\/\/www.kinexmedia.com\/blog\/how-is-ga4-different-from-universal-analytics\/","title":{"rendered":"How is GA4 different from Universal Analytics?"},"content":{"rendered":"
Let\u2019s welcome the new era of analytics: ‘Google Analytics 4’. This new version of analytics has ushered in a revolution for all businesses, particularly eCommerce enterprises. Things have been simplified with GA4<\/a>, and its reporting features are notably advanced.<\/span><\/p>\n The interface of GA4 has become significantly refined. The reporting categories have been organized based on the consumer\u2019s life cycle: <\/span>Acquisition, Engagement, Monetization, and Retention.<\/b><\/p>\n Google Analytics has undergone a long journey to arrive at its present state. Originally known as ‘Urchin’s Analytics’, it was subsequently acquired by Google in 2005 and became the ‘Classic Version of Google Analytics’. In 2013, a significant update transformed it into ‘Universal Analytics’. By 2020, Google introduced a new beta tracking property called ‘web+app’ within the ‘Universal Analytics’ framework. And in 2023, we found ourselves experiencing the marvels of ‘Google Analytics 4’.<\/span><\/p>\n There are significant differences when comparing Universal Analytics and Google Analytics 4. <\/strong><\/p>\n Here are some generic differences between Universal Analytics & GA4<\/b><\/p>\n Unlike Universal Analytics, where data acquisition follows a preset method, Google Analytics 4 provides the flexibility to define parameters for data collection.<\/span><\/p>\n For instance, consider a scenario where you wish to track a conversion when someone both purchases and views a product. In Google Analytics, you have the option to configure two or more parameters for such cases. This option wasn\u2019t available in Universal Analytics.<\/span><\/p>\n In Universal Analytics, we had to include distinct tracking codes and configure separate properties to monitor different containers like websites, Android apps, or iOS apps. However, in Google Analytics, the process is streamlined. Each container can be tracked seamlessly using GA4.<\/span><\/p>\n As previously mentioned, the user buckets in Google Analytics 4 have undergone a change. In Universal Analytics, we were familiar with four buckets: ‘Audience’, ‘Acquisition’, ‘Behavior’, and ‘Conversion’. However, in Google Analytics 4, these buckets have been replaced with ‘Acquisition’, ‘Engagement’, ‘Monetization’, and ‘Retention’.<\/span><\/p>\n<\/p>\n
Why should I switch to GA4?<\/strong><\/h2>\n
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What\u2019s New in GA4?\u00a0<\/strong><\/h2>\n
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\n \n Category<\/span><\/h3>\n<\/td>\n
\n Overview<\/span><\/h3>\n<\/td>\n
\n What to do with it?\u00a0<\/span><\/h3>\n<\/td>\n<\/tr>\n
\n Acquisition<\/span><\/td>\n \n \n
Which marketing channels help you to bring customers to your website or app<\/span><\/td>\n<\/tr>\n \n Engagement<\/span><\/td>\n \n \n
What content users engage with & share with others<\/span><\/td>\n<\/tr>\n \n Monetization<\/span><\/td>\n \n \n
What makes the user make a sale?\u00a0<\/span><\/td>\n<\/tr>\n \n Retention<\/span><\/td>\n \n \n
Calculate user\u2019s lifetime value & predict how many users can your business retain<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/span><\/h2>\n
Journey of Google Analytics<\/strong><\/h2>\n
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Data Model\u00a0<\/strong><\/h3>\n
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\n \n Universal Analytics<\/span><\/h3>\n<\/td>\n
\n Google Analytics 4<\/span><\/h3>\n<\/td>\n<\/tr>\n
\n Data was sent in the form of:<\/span><\/p>\n \n
Data is sent in the form of:<\/span><\/p>\n \n
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Data Flow By Stream\u00a0<\/strong><\/h3>\n
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Report Collection Method\u00a0<\/strong><\/h3>\n
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Calculate Bounce Rate from Engagement Rate in GA4<\/strong><\/h3>\n
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