Web Analytics Consultancy
Server-Side Tracking & First-Party Measurement
Some of the 500+ brands we've worked with
See all references
Approved task contracts
Choose the right server-side measurement engagement
Data foundation
Server-Side GTM & Cloud Setup
The routing decision is behind you and what remains is the build — cloud project, custom domain, clients, and a runbook your on-call can follow after cutover.
First-Party Tracking Architecture
Nobody has shown yet which signals would justify the operating cost, so this one compares CNAME cloaking, a full server container, and a hybrid before anything is provisioned.
Consent Mode v2 & CMP Integration
The endpoints already run, but a rejected consent choice has never been observed against storage, network requests, and the server routes behind them.
Server-Side Monitoring & Reliability
Once the container is live the risk turns quiet. Uptime stays green while one destination stops receiving conversions, and nobody hears about it for weeks.
When this owner applies
Where server-side measurement needs a clear owner
Run consent-aware first-party endpoints and server containers with clear controls for routing, destination delivery, and reliability.
Capability boundary
Technical ownership with clear privacy boundaries
Technical controls implement approved privacy choices. They do not provide legal advice or guarantee compliance.
Evidence-led delivery
Contracts before tools, acceptance before claims
Every engagement has named inputs, owners, human approval gates, reproducible QA, explicit limitations, and an operating handover.
We engineer first-party server-side collection endpoints, cloud containers, and routing rules to protect data governance. Zeo specialists manage container configuration, vendor payload routing, and uptime monitoring, while your team authorizes cloud infrastructure and privacy policies.
The Server-Side & First-Party delivery lifecycle
Architect sGTM infrastructure
We provision cloud tagging servers, configure custom first-party domains, SSL certificates, and set up deployment auto-scaling.
Configure clients & routing
We build server clients to ingest incoming web streams, parse payloads, and route data cleanly to vendors without exposing PII.
Integrate CMP & Consent Mode
We enforce Consent Mode v2 signals at the server level, dynamically redacting ungranted data fields before external transmission.
Monitor uptime & delivery
We establish health monitoring alerts for HTTP status codes, cloud server latency, and vendor payload delivery reliability.
From our clients
What clients say about measurement work
A client describing the planning and reporting problems we started from.
Before working with Zeo, we had serious problems, especially with planning and measurement. Because we couldn't get complete measurements and reports, we struggled to evaluate our work. Evaluating the data correctly, in line with scientific rules, was the most important thing for us.
Dr. Kadir Kırmızı - General Manager
Durable tracking
Case Studies
Long-running accounts whose figures held up across a full comparison window.
People who build your measurement system
Zeo designs measurement systems that connect a business decision to governed collection and reporting you can check. The people shown here work on the part of that system this page covers.
Zafer Yıldız
Web Analytics Manager
Abdullah Tanıdır
Performance Marketing Team Lead
Sevda Yurtvermez
Performance Marketing Team Lead
Serap Yurtvermez
Performance Marketing Team Lead
İlker Emir
Senior Performance Marketing Executive
Ozan Ketenci
VP of Consulting & Strategy
Deniz Çağın Demirci
Frontend Developer
İpek Ezer
Performance Marketing Executive
Mirzamin Aghazada
UI/UX Designer
Onur Durdağı
Performance Marketing Executive
Yağmur Bayram
Sr. SEO Analyst
Tools we use
The measurement stack behind the work
Collection, tagging, product analytics and reporting are separate problems with separate tools. These are the ones we build measurement on.
Core web analytics platforms
- Google AnalyticsOnce the server-side architecture is live, we verify events actually arrive at GA4 correctly, with consent state honored, as the end-to-end proof this whole infrastructure build was worth doing. GA4 here is the verification checkpoint, not the system being architected.
Tag management, CDPs & server-side tracking
- Google Tag ManagerAcross architecture, routing, consent integration, and monitoring, the container we design is specifically GTM's server-side variant, running clients and routing rules server-side rather than in the visitor's browser. That distinction runs through every step this service performs, since a server container's failure modes and configuration surface differ from a standard web container's.
- StapeWe recommend Stape as the default server-container host during the architecture step, since it removes the DNS routing and TLS certificate maintenance a self-hosted setup would put on the client's own infrastructure team. That reduced maintenance burden is why it is the reference option this practice evaluates every alternative against.
- SnowplowFor a client whose first-party tracking requirements include strict event-schema enforcement beyond what a GTM server container natively offers, we architect the pipeline on Snowplow instead. That validation-first requirement is what shifts the recommendation away from the GTM-plus-Stape default.
- Twilio SegmentWhen first-party tracking architecture needs to feed a wide and varied set of downstream marketing tools, we route collection through Segment rather than a GTM server container alone, since Segment's destination catalog is broader than what a server container natively supports. That breadth is the deciding factor when the destination list, not the collection method itself, is the constraint.
- RudderStackFor a client whose data governance requires the warehouse, not a vendor's own storage, to remain the system of record, we architect first-party collection through RudderStack instead of Segment or a server-container-only setup. That warehouse-native requirement is a data-residency decision, not a feature preference.
- TealiumWhen a client's tag management is already built on Tealium, we design the server-side and first-party architecture on that platform instead of introducing GTM, since the underlying principles, consent-aware routing, destination reliability, carry over regardless of vendor.
- mParticleFor a client whose first-party architecture spans both web and a native mobile app, we bring in mParticle specifically for its mobile-first identity resolution, since a server container alone does not solve app-side SDK routing and identity stitching. That mobile dimension is what distinguishes this from a web-only server-container build.
- Treasure DataFor an enterprise client whose first-party architecture needs to feed a full customer-360 platform rather than a handful of marketing destinations, we route the pipeline toward Treasure Data. That scale of downstream consumption is what justifies this heavier CDP over a lighter server-container-to-GA4 pipeline.
Product & mobile app analytics
- PostHogWhen a client's data-ownership requirement covers the full stack, collection and the analytics platform reading from it, we architect toward PostHog, since it can run fully self-hosted end to end. That full-stack ownership goes further than a self-hosted server container still reporting into a vendor-hosted GA4.
Privacy-first & cookieless analytics
- Cloudflare Web AnalyticsFor a client whose traffic already routes through Cloudflare, we enable Cloudflare Web Analytics as a zero-cost, cookieless cross-check on traffic volume, useful for confirming the server-side pipeline's numbers against an independent, edge-native count during the monitoring and reliability step.
Next step
Turn measurement into reliable business decisions
Questions