As Google is continuously shifting to the new GA4 paradigm they have been pushing integration to a product that many people are not familiar with. This product is BigQuery. BigQuery has been showing itself to become more and more central to Google’s web analytics strategy in the following ways:
Artificial Intelligence (AI) has recently been causing disruption to our industries and society at large. This disruption can be observed in a multitude of ways: chatbots can now complete complex tasks like writing papers or code in a fraction of the time it would take a person, voice modulators are now capable of accurately imitating the way people speak, and images can now imitate individuals, scenery, or art styles to the point where likenesses can be uncanny. This rampant change opens a new world of possibilities that should be met with both excitement and trepidation. Excitement because of the possibilities that it creates, and trepidation because of the societal problems that come with it.
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.