Automating GTM Server-Side Container Updates on Cloud Run
If you’re running server-side Google Tag Manager (sGTM) on Cloud Run, you’ve probably asked yourself at some point: “Am I even on the latest versio...
Most analytics setups collect events. I design and build the measurement infrastructure that turns those events into proprietary, decision-ready signals for ad platforms, ML models, and the operators making real decisions.
Ad platforms run on ML, bidding is algorithmic, and AI agents are consuming your analytics output. Basic conversions and last-click attribution don't feed these systems well.
Signal Engineering moves teams from basic conversion tracking to a layered measurement system built for modern activation.
I work as an embedded engineer - in your Slack, your repo, your standups - shipping production code instead of slide decks.
Before going independent, I spent years at the leading digital analytics agencies in Germany (TRKKN) and Denmark (IIH Nordic), consulting enterprise clients on measurement architecture. I’m a Google Cloud Certified Professional Data Engineer with deep experience across the Google measurement stack - GA4, GTM, server-side GTM, BigQuery, Dataform.
Based in Copenhagen and working with 8-bit-sheep, I also teach Technical Digital Analytics at IHM Business School and co-organize AnalyticsDev, a yearly practitioner meetup for analytics and AI engineers.
If you're considering a measurement engagement - implementation, audit, infrastructure build, or training - the fastest way to find out is a 30-minute conversation.
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If you’re running server-side Google Tag Manager (sGTM) on Cloud Run, you’ve probably asked yourself at some point: “Am I even on the latest versio...
If you’ve spent any meaningful amount of time working with Google Analytics (GA), you know the drill: the UI is great for getting an ad-hoc overvie...
A few weeks ago, a LinkedIn post caught my attention. An e-commerce manager voiced a frustration that I hear quite frequently: The Google Analyt...