How to export data from Google Universal Analytics

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That's why switching to Google Analytics 4 makes sense
Conclusion: Back up data and move to GA4 by the end of June
Google Universal Analytics is shutting down
There was a huge outcry when Google discontinued Google Universal Analytics (GUA) last year. Since July 2023, no new data will be collected in the well-known web analytics tool, which was used on over 50 million websites. However, access to created reports and the user dashboard was still possible.

This is now changing. From July 1, 2024, the popular tool will be shut down completely. All data on visitors and conversions within your website will then be deleted. Access to the data will no longer be possible after July 1, 2024 .

GA4 roadmap
This means above all: Anyone who has not yet switched to the current version of Google Analytics 4 should do so as soon as possible by July 1st or switch over themselves. As part of our Google thailand whatsapp resource Universal Analytics to version 4 conversion initiative, we have switched over 50 German and international websites. We would be happy to switch over to Google Analytics 4 for you too. If you would like to switch over to Google Analytics 4 yourself, you can find detailed instructions on how to switch from GUA to GA4 on our blog.

Important: Back up data by July 1, 2024
Would you like to have access to your data from Google Universal Analytics after July 1st? This is indeed possible. Although the web analytics service's interface will be shut down on this date, you have the option of exporting your data before the shutdown date - in the traditional way as an Excel or CSV file. Alternatively, you can also export it as data points with BigQuery.

BigQuery is a serverless data warehouse solution from Google that you can use to process large amounts of data. In BigQuery, you can archive your data from Google Universal Analytics and prepare it using data visualization. For example, you can then use the data to prepare reports even after July 1, 2024. BigQuery is free for smaller amounts of data. Paid enterprise plans are available for large websites.

We recommend using BigQuery to export your data, as you can then reuse it in other services. For example, you can use Google Looker Studio to prepare your data from BigQuery in the form of attractive dashboards. This has the advantage that the data is of course much easier to search and manage than in very large tables.