{"id":204,"date":"2020-10-29T16:13:42","date_gmt":"2020-10-29T16:13:42","guid":{"rendered":"https:\/\/www.easyinsights.ai\/blog\/?p=204"},"modified":"2025-04-23T13:01:40","modified_gmt":"2025-04-23T07:31:40","slug":"the-best-way-to-export-raw-data-from-google-analytics","status":"publish","type":"post","link":"https:\/\/easyinsights.ai\/blog\/the-best-way-to-export-raw-data-from-google-analytics\/","title":{"rendered":"The Best Way to Export Raw Data from Google Analytics"},"content":{"rendered":"Reading Time: <\/span> 9<\/span> minutes<\/span><\/span>
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Exporting and accessing raw user-level data from Google Analytics is extremely tricky since the tool only gives you direct access to aggregated data. <\/p>\n\n\n\n

While Google Analytics can generate reports about the total number of visitors on a particular day and filter them out by session duration, source, device, and more, it’s not possible to get underlying user-level data about every website visitor.<\/p>\n\n\n\n

For basic use, aggregated data seems more than enough. It can answer most of the questions that you might have about user behavior. So why do we need to even deep dive into raw data?<\/p>\n\n\n\n

That\u2019s because the problem with aggregated data is that it’s just aggregated — Instead of giving you user-level insights, you get data which is mixed together. It is not possible to analyze how each user interacts with your website. On the other hand, raw data takes a granular approach and gives you access to user-level data which when combined with other CRM or analytical tools can give you in-depth insights about user behavior and in turn help you create more targeted campaigns. <\/p>\n\n\n\n

Click here to learn how to export raw data from Google Analytics4 (GA4) to Google BigQuery without any cost.<\/strong><\/a><\/p>\n\n\n\n

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