Universal Analytics Reaching End of Life: What You Need to Know
Google's announcement that they will no longer support the previous version of Google Analytics, Universal Analytics (also known as UA), on July 1, 2023, means it is time for Google Analytics 4 (GA4) Migration. Nearly 30 million websites use Google Analytics, and this change will affect them all. This changeover will require a new way of thinking and involve changing internal processes, learning new technology, and being more careful about data collection.
GA4 is a multi-platform tracking solution that collects data from websites and applications. It utilizes an event-based data model to measure insights and does not rely on cookies for tracking. Instead, it uses data-driven attribution to accurately attribute conversions to multiple sources rather than just the last click. Additionally, GA4 does not retain IP addresses, which can help brands comply with privacy laws. These features make GA4 a more forward-thinking solution for tracking and analyzing customer behaviour.
You can also check out the detailed article with the best practices you should follow while migrating to GA4.
We have compiled a list of frequently asked questions about the end of life for Universal Analytics and the GA4 Migration. You can also review the article Google Analytics 4 Vs Universal Analytics: What’s the significant difference? to understand the key changes between GA4 and UA.
If you still have questions or require assistance with Universal Analytics(UA) to GA4 migration, our team is here to help. Don't hesitate to reach out to us for more information.
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FAQ on Migrating from Universal Analytics to GA4
Universal Analytics, the previous version of Google Analytics, was released in 2013. GA4 is the latest Google Analytics version, released in 2020, and offers several significant differences in terms of its event tracking, cross-device functionality, and machine learning capabilities.
- Data model: Universal Analytics uses a session-based data model, which tracks a series of user actions on a website as a single "session". GA4, on the other hand, uses an event-based data model, which tracks individual user actions, such as page views, clicks, and form submissions, as separate events. This allows GA4 to collect more detailed and granular data about user behaviour.
- Automatic event tracking: GA4 automatically tracks a wide range of events on your website without requiring manual configuration. This includes page views, clicks on buttons and links, form submissions, and other interactions. Universal Analytics, however, requires manual configuration to track events, which can be time-consuming and error-prone.
- Enhanced data collection: GA4 uses machine learning to collect and analyze data from various sources, including website interactions, app usage, and customer interactions across channels. This allows it to provide a more complete and accurate picture of customer behaviour and preferences. Universal Analytics is limited to tracking data from website interactions.
- Improved reporting and analysis: GA4 provides more detailed and customizable reports and new tools for analyzing customer behaviour and predicting future trends. It also includes new features such as "path analysis" and "funnels", which allow you to visualize and analyze the different steps users take on your website. Universal Analytics has more limited reporting and analysis capabilities.
- Improved integration with other Google products: GA4 is closely integrated with other Google products, such as Google Ads, Google Marketing Platform, and Google BigQuery, making it easier to analyze and optimize your marketing efforts across different channels. Universal Analytics has limited integration with other Google products.
- Data retention: GA4 includes new data retention controls that allow you to specify how long data is retained before it is automatically deleted. This can be useful for complying with data privacy regulations such as GDPR. Universal Analytics does not have this capability.
GA4 has several new features that are not available in Universal Analytics, including:
- Automatic event tracking: GA4 automatically tracks events on your website, such as page views and clicks on buttons, without the need for manual configuration.
- Enhanced data collection: GA4 uses machine learning to collect and analyze data from a wide range of sources, including website interactions, app usage, and customer interactions across channels.
- Improved reporting and analysis: GA4 provides more detailed and customizable reports, as well as new tools for analyzing customer behaviour and predicting future trends.
- Improved integration with other Google products: GA4 is closely integrated with other Google products, such as Google Ads, Google Marketing Platform, and Google BigQuery, making it easier to analyze and optimize your marketing efforts across different channels.
This article details the five key features Google Analytics 4 offers.
Universal analytics will reach end of life on July 1, 2023, till then you can use GA4 and Universal Analytics together, so that you can make use of the exisiting reports and events created there. You need to update your GA4 instance with all the specific configurations before the UA stop taking data.
Universal Analytics will reach the end of life on July 1, 2023, at which point Google will stop collecting data on UA. If you are currently using Universal Analytics, it is recommended that you migrate to GA4 before the end-of-life date to ensure that the tracking on your website happens uninterruptedly, and to take advantage of the new features and functionality available in GA4.
To migrate from Universal Analytics to GA4, you will need to create a new property in your Google Analytics account and configure it to use the GA4 tracking code. You will then need to update any custom tracking code, integrations, reports and other configurations that you have set up in UA to GA4. Once you have completed the migration, you can retire your Universal Analytics property and tracking code. Please see the checklist we have prepared to assist you in the migration
The historical data will be available in Universal Analytics after the end-of-life for at least 6 months, and you can still use that in read-only mode. UA captures no new data after it reaches the end of its life. We recommend you set up GA4 now along with UA to track the website analytics in GA4 and then take steps to migrate the custom configurations and reports to GA4. Once UA reaches the end of life, you can remove the UA tracking code from your website.
You should also take steps to export existing data before Google shuts down UA completely. For the free version of Google Universal Analytics, the BigQuery connection is not available by default. You may need a 3rd party connector to back up your historical data. Matomo offers a GA Data Export plugin to move your data to Matomo.
360 Univeral Analytics users will get one more year to migrate to GA4. However, Google recommends that 360 users start the migration process as soon as possible to take advantage of the advanced features and capabilities of GA4.
Users with default UA configuration have nothing to worry about; they can use the one-click creation of GA4 tags and set up the tracking code in their websites/apps.
GA4 is a different product, and the user interface and reports have changed. There will be a learning curve to start using the new system.
Please note that even if you migrate your UA to GA4, you still need to install the new GA4 tracking code in your website or tag manager and double-check the configuration to ensure that the data is being accurately tracked.
Google offer comprehensive documentation to migrate from UA to GA4. We have documented the best practices we use to migrate UA to GA4. Please review this documentation and let us know if you need further assistance.
Zyxware Technologies provide expert support throughout the migration process, from creating your GA4 property to mapping your existing GA data to your new GA4 property. Our team of experienced GA specialists can help ensure that your migration goes smoothly and that you get the most out of GA4. Please contact us if you need consulting with our GA expert.
Yes, Custom events created in Google Tag Manager (GTM) will work in Google Analytics 4 (GA4), as long as you've set up your configuration tag to send your data to GA4. GA4 allows you to use existing triggers that you've used for Universal Analytics (UA) to send events to GA4.
GA4 focuses less on the idea of sessions and more on engagements. While there may not be an out-of-the-box report for session duration in GA4, you can build custom reports in the Explore section by playing around with metrics and dimensions.
Yes, absolutely. All of your tracking in GTM can be sent to the same data stream. It's good to just have one data stream, but if you have your domain and your subdomains, you can send that to the one data stream if you want.
A data stream is the source of your data, while a view was more like a filtering of data that was already there. In GA4, we have comparisons, which are kind of like a segment you can apply. We don't go into much detail on comparisons in this session, but we will later on.
If a user's data is captured against a single user ID, GA4 provides differentiation. While we have that consolidated idea of user ID, in the data model, we'll still always have those dimensions attached, or the parameters attached, saying, web, app, page view, screen view, where you can separate, or segment, or filter for just the web session or just the app session.
GA4 automatically detects bot traffic, so that will be excluded by default. In internal traffic, there is a parameter you can attach to traffic called Traffic Type (traffic_type). So whatever you're using for tagging, GTM, for example, you can have a parameter attached to a user with Traffic Type Internal. That will be excluded.
Yes, you can set up automatically collected parameters that you want on all of your page views and use properties if that applies as well. However, these parameters will only apply once to the page you're on, so they should be page-level values.
No, the page path is automatically collected and not high cardinality. You do not need to create a custom dimension for page_path. A high cardinality dimension isn't automatically collected, like article ID, which would be a custom dimension you must tell GA4 to collect and recognize as custom.
If you are looking for a privacy-first website analytics platform, you should give a try to Matomo or Plausible based on your business need.
Yes! GA4 offers a new feature that allows you to create custom channel groups based on your own rules and criteria