This comprehensive guide explains the why and how of server-side tracking, including architecture options like proxy vs. cloud-edge, GTM Server basics, and phased rollout strategies. It's ideal for teams moving beyond browser-based analytics and looking to improve data quality and privacy compliance.
Server-Side Tracking
Collecting events at API, proxy, or edge layers; stitching browser IDs to server hits; combining client hints with secure PII; latency, schema, and cost trade-offs.
7 resources on this topic
The Impact of Server-Side Tracking on Privacy — Debunking Myths
Server-Side Tracking & TagmanagementDigital Power unpacks misconceptions about SST and GDPR. It explains how server-side setups still require user consent but help reduce data risk through techniques like filtering and pseudonymization. Great for legal, marketing, and analytics teams aligning tracking with privacy obligations.
Tessa Pinkerton provides a balanced overview of server-side tracking, covering benefits like ad-block resilience and faster loading, along with honest drawbacks such as added costs and maintenance. A solid orientation for digital marketers and analytics newcomers.
Shows how to use Elastic Beanstalk, custom domains, SSL, scaling options, and contrasts AWS flexibility with GCP simplicity—critical for enterprises standardising on AWS while adopting server-side tagging.
Anil’s guide walks through installing the Facebook CAPI extension, mapping events, enabling server pipelines, and validating hits—ideal for practitioners integrating server-side ad conversions.
Julius Fedorovicius explains setup, custom domain config, and client/tag mapping—providing a hands-on starting point for teams moving to server-side tagging for performance and privacy.
This article provides an introduction to server-side tracking, highlighting the potential benefits and drawbacks of this approach compared to traditional client-side tracking. It covers the technical aspects of server-side data collection, including latency, schema, and cost trade-offs, as well as the implications for data privacy and compliance.