Digital analytics can provide invaluable insights into website performance and user behavior. However, tracking website data with traditional client-side methods can be limited by ad-blockers, browser cookie settings, and other factors that can prevent on-page tracking code from firing properly. Fortunately, the GTM Server Side approach in activating the Meta/Facebook Conversion API offers a solution. In this blog post, we’ll provide an overview of the GTM Server Side containers, explain the benefits of server- side tracking, and walk you through the steps of implementing this approach.
Before GA4, a connection from Google Analytics to BigQuery was only available for those that paid for the Analytics 360 version. However, with GA4, a free connector was made available to all users, allowing Google to open BigQuery to all businesses. Undoubtedly, this is a business-savvy move for Google, since it allows them to attain revenue from the cost of querying and storing data on the platform. However, despite the cost, this gives businesses the ability to access a phenomenal tool that can help them scale up their data analysis on their GA4 data should they have the specialized expertise available. Here are a few reasons why you should use BigQuery with your GA4 data.
On October 12th, Google announced that their flagship dashboard platform Data Studio will be rebranded as Looker Studio. This raises many questions, but the most immediate one is: what has changed?
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