In this guide, I’ll show you how to add first-party cookie values client-side, which your server-side Google Tag Manager processes can then access. You might be wondering: “Why bother?”. After all, if server-side GTM is running same-site with the website sending the requests, why can’t it just read the cookies on its own, right? Well, true. But there are cases where the website and web server seem to be same-site but are in fact not.

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There are two new custom templates available in server-side Google Tag Manager. These templates have been designed to facilitate Piwik PRO tracking in a server-side container. Piwik PRO Client -> This Client template interacts with the Piwik PRO JavaScript tracker and lets you route Piwik PRO tracking through a server-side GTM container. GitHub repo. Piwik PRO -> The tag template works in unison with the Piwik PRO Client, forwarding the hits to the Piwik PRO endpoint.

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Piwik PRO has two new server-side Google Tag Manager templates, and this article explains what they are and how they work. The first template, Piwik PRO Client, is designed to work in unison with the Piwik PRO HTTP API. Most often these requests are generated by the Piwik PRO JavaScript tracker, but theoretically any HTTP source that uses the same schema can send requests for the Client to claim. Once the Client claims the request, it generates an event data object that can be consumed by tags in the server-side Google Tag Manager container.

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Google has released a new feature, First-Party Mode (FPM), into public beta. Image source First-Party Mode seeks to make it easier to wrap Google’s measurement and advertising technologies in a first-party, same-origin context. This means that the user’s browser, when visiting a website running FPM, would no longer communicate directly with Google’s domains when fetching measurement libraries such as Google Tag or Google Tag Manager. Instead, the requests would be sent to a subfolder of the website itself.

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**Last updated March 7, 2024. Clarified that you do NOT need to resend hits when consent is granted, if those hits were collected on the same page when consent was denied. Google’s Consent Mode continues to be a hot topic, especially since in 2024 it will be required to implement Consent Mode in case a website or app is collecting data for audience building or remarketing with Google’s advertising services.

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I am fortunate to share another guest post by Arben Kqiku, Digital Analyst at Assura. Last time, Arben graced this blog with a comprehensive love letter to R as an example of the power of this programming language. This time, he’ll add even more fancy tools to the toolkit to help you build a data pipeline in the Google Cloud Platform to join your Google Ads and Google Analytics 4 data together.

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In a recent update to server-side tagging in Google Tag Manager, Google switched the default deployment of a server-side tagging backend from Google App Engine to Google Cloud Run. Now, when you create a new container and choose the automatically provisioned tagging server option, this service will be created in Google Cloud Run instead of in Google App Engine. While I’ve written about Cloud Run before, this update gives me an opportunity to review what actually happens when you provision a Cloud Run environment, how you can upgrade it, and how you can add enhancements such as multi-region load balancing to it (with ease, I might add!

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