Browser restrictions, ad blockers, and ITP are silently stripping your analytics data every day. Server-side tagging moves data collection off the browser and onto your own infrastructure - so your tracking works regardless of what the user's browser does.
Why It Matters
Most businesses do not realise how much data they are losing until they implement server-side tagging and see the difference. These are the most common warning signs.
If your GA4 sessions are significantly lower than your server logs or other tools suggest, ad blockers and browser privacy restrictions are likely stripping a meaningful portion of your data.
Client-side pixels are subject to the same browser restrictions as analytics. If your ad platforms are working with incomplete conversion data, their optimisation algorithms are making decisions based on a fraction of actual activity.
Safari's Intelligent Tracking Prevention caps client-set cookies at 7 days - or 24 hours for script-set cookies. First-party server-set cookies are not subject to the same restrictions, giving you longer attribution windows.
Every client-side tag - GA4, Meta Pixel, Google Ads - adds page weight and slows load times. Moving tag execution server-side significantly reduces the number of third-party scripts loading in the browser.
What We Do
Server-side tagging is not just installing a server container. Done properly it involves reverse proxy configuration for first-party script serving, Google Tag Gateway setup, server container configuration, consent signal propagation, ad platform server-side integration, and data quality validation before and after migration. We have implemented the full stack across multiple enterprise clients.
Our Process
We audit your current setup, identify data loss sources, and plan the complete server-side infrastructure before touching anything in production.
Reverse proxy, GTG, and server container configured in staging. All ad platform integrations set up with proper deduplication before going live.
Full validation across all events and platforms. Data quality comparison showing exactly how much data was previously being lost and what has been recovered.
FAQ
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