{"id":452,"date":"2023-05-09T01:25:35","date_gmt":"2023-05-09T01:25:35","guid":{"rendered":"https:\/\/incogneato.ca\/?p=452"},"modified":"2023-05-10T20:36:19","modified_gmt":"2023-05-10T20:36:19","slug":"ga4-vs-google-analytics-360","status":"publish","type":"post","link":"https:\/\/incogneato.ca\/index.php\/2023\/05\/09\/ga4-vs-google-analytics-360\/kxp850\/","title":{"rendered":"GA4 vs Google Analytics 360"},"content":{"rendered":"\n
GA4 or Google Analytics 4<\/h2>\n\n\n\n
Universal Analytics predecessor.<\/p>\n\n\n\n
\n
It allows you to measure apps and websites together across all reports.<\/li>\n\n\n\n
It contains the Explorations tool, which gives you more flexible ways to examine your data.<\/li>\n\n\n\n
It can measure a single user journey across devices based on the best available user identifiers.<\/li>\n<\/ul>\n\n\n\n
Google Analytics 360<\/h2>\n\n\n\n
Analytics 360 is the paid enterprise version of Google Analytics. Higher limits for conversions and audiences<\/em><\/strong>. It is built on the foundation of Google Analytics 4 properties to address the measurement needs of large advertisers and agencies with<\/p>\n\n\n\n
\n
more customizations<\/li>\n\n\n\n
increased scale<\/li>\n\n\n\n
enterprise-level support.<\/li>\n<\/ul>\n\n\n\n
Two Properties of Analytics 360<\/h2>\n\n\n\n
\n
Subproperties<\/li>\n\n\n\n
Roll-up properties<\/li>\n<\/ul>\n\n\n\n
Sub property<\/h2>\n\n\n\n
A property gets its data from one other property<\/em><\/strong> called the source property. The data in a sub property is typically a subset of the data in its source property. When to use sub properties?<\/p>\n\n\n\n
\n
Data governance<\/strong> – is the biggest use for sub properties. By controlling what data is included or excluded from a property. It lets you filter data in or out to create the data<\/em><\/strong> set needed for a specific audience or use case. This allows for better organization of data, making it more easily accessible to certain audiences.<\/li>\n\n\n\n
User governance<\/strong> – Another use case for sub properties is for user governance needs. Here’s an example: You have strict company policies stating that one region (North America) can see a certain subset of data related to their region, but another region (South America) shouldn’t have any access to the data. This is a great use case for a sub property to restrict data for each region within its own property so there’s no access outside the appropriate region.<\/li>\n<\/ul>\n\n\n\n
Roll-up property<\/h2>\n\n\n\n
A property contains data from two or more source properties<\/em><\/strong>. It can include source data from ordinary properties and subproperties, but not other roll-up properties.<\/p>\n\n\n\n
Roll-up properties provide a broad view of your business across products, brands, or regions<\/em><\/strong> by combining data from multiple source properties into a single roll-up property. For example, if you have separate properties for multiple brands that your company owns, you can roll those up to a single property that provides an aggregate look at how those brands perform.<\/p>\n\n\n\n
Google Analytics vs Analytics 360<\/h2>\n\n\n
\n
GA4 vs Analytics 360 features comparison<\/figcaption><\/figure><\/div>\n\n\n
Exporting Data to BigQuery<\/h2>\n\n\n\n
It is important to link BigQuery into GA4 account first.<\/p>\n\n\n\n
BigQuery<\/h2>\n\n\n\n
\n
is a cloud data warehouse that lets you run super-fast queries of large datasets.<\/li>\n\n\n\n
Export for GA4 provides a complete log of the events in BigQuery.<\/li>\n\n\n\n
is used to build customer model and join with other data sets.<\/li>\n\n\n\n
Must setup a Google Cloud account and enable BigQuery API to configure the export for GA4<\/li>\n<\/ul>\n\n\n\n
Previously, Google Analytics export to BigQuery was available only to enterprise Analytics 360 properties with Universal Analytics. <\/p>\n\n\n\n
With Google Analytics 4, BigQuery export is available for both standard properties and Analytics 360 properties.<\/em><\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\n
Export your data from BigQuery to external storage<\/li>\n\n\n\n
Export Analytics data to BigQuery and run SQL queries<\/li>\n\n\n\n
Import other data into BigQuery to combine with Analytics data<\/li>\n<\/ul>\n\n\n\n
2 Frequency Option in Exporting GA4 to BigQuery<\/h2>\n\n\n\n
\n
Daily – Full export<\/li>\n\n\n\n
Streaming – Exported continuously. (user-attribution data may take up to 24hrs)<\/em><\/li>\n<\/ul>\n\n\n\n
Note: You can choose the geographic location where your data is stored when it’s exported from Google Analytics to BigQuery.<\/em><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"
GA4 or Google Analytics 4 Universal Analytics predecessor. Google Analytics 360 Analytics 360 is the paid enterprise version of Google Analytics. Higher […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[21],"tags":[],"yoast_head":"\n
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![\"GA4](\"http:\/\/incogneato.ca\/wp-content\/uploads\/2023\/05\/ga4-a360-1.webp\")