With the introduction of server-side tagging in Google Tag Manager, the variety of things you can do with your own server-side proxy is mind-boggling: Reduce client-side bloat by consolidating data streams and distributing them to vendor endpoints server-side. Improve data security by adding safeguards and validations to prevent harmful data from being sent to vendor endpoints. Enrich data server-side, by combining the incoming data stream with data from APIs and data stores that you own and control.

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When you create a Server container in Google Tag Manager, GTM creates an App Engine deployment in the Google Cloud Platform for you. App Engine is a managed serverless platform, which basically means it’s a (set of) virtual machine(s) running in the cloud, with some extra bells and whistles added to make managing it easier. A potentially useful thing that App Engine does is decorate all incoming HTTP requests with some HTTP headers that can be used in the app.

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Since the release of Server-side tagging in Google Tag Manager, I’ve jumped at every opportunity to celebrate the tools it provides for improving end-user privacy and data security. One of the biggest benefits is obfuscation-by-default. Since all hits are passed through the server-side proxy, the default view for any third-party tool (such as Google Analytics) is that of the server in the Google Cloud rather than the browser and device with which the user was browsing the site.

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Last updated 27 April 2023 with details about preventing FPID access in cookieless scenarios. With Server-side tagging, the developer community has a chance to vastly improve the data collection capabilities of Google’s analytics platforms (Universal Analytics and App+Web). The ability to build our own templates is particularly potent with a Server container. However, it’s not as if Google themselves are just sitting idly by and seeing what the community can come up with.

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You can utilize Server-side tagging in Google Tag Manager to build your own custom Universal Analytics proxy. This proxy comes in the shape of a new Client custom template, which takes the incoming /collect requests and sends them to Google Analytics. While doing so, it also returns the _ga cookie in a Set-Cookie header, thus preventing Safari’s Intelligent Tracking Prevention from capping its expiration to just 7 days. You might also be interested in reading what Google’s own solution is for migrating from JavaScript cookies to those set in HTTP headers.

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When you use Google Analytics on the web, you are most likely implementing one of analytics.js, the global site tag (gtag.js), or Universal Analytics tags via Google Tag Manager. These libraries all end up doing the same thing: compiling a payload-rich HTTP request to an endpoint at https://www.google-analytics.com. What if you want to have the JavaScript libraries do their job, but instead of sending the data to Google’s servers, you send them to a new, custom endpoint?

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Ever since Server-side tagging was publicly announced at SUPERWEEK 2020, Google and the trusted tester community have been hard at work, building something that just might change the landscape of digital analytics for good. Google Tag Manager has now released Server-side tagging into public beta. In this lengthy article, we’ll take a look at what Server-side tagging is, how it should (and should not) be used, and what its implications are on the broader digital analytics community.

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