Web Analytics Consultancy
Measurement Strategy & Analytics Governance
Some of the 500+ brands we've worked with
See all references
Approved task contracts
Define the measurement system before configuring tools
Strategy
Analytics Audit & Measurement Roadmap
Pick this first when the disagreement spans GA4, GTM, and the ad platforms at once, and you need the gaps ranked before deciding which definitions to write.
Measurement Strategy & Tracking Plan
Take this when the gap is event-level. Marketing and product mean different things by signup, and engineering needs one written definition per event before building.
KPI & Goal Architecture
Events are fine here; the argument is which numbers matter. This one settles the formula, owner, and guardrail behind each metric leadership actually reviews.
When this owner applies
Give every metric a purpose and an owner
Define what must be measured, why it matters, who owns each definition, and how quality is governed before tools are configured.
Capability boundary
Strategy sets the rules that platform teams implement
This service defines measurement and governance. Platform teams implement it.
Evidence-led delivery
Make definitions reviewable before implementation
Every engagement has named inputs, owners, human approval gates, reproducible QA, explicit limitations, and an operating handover.
We establish explicit metric contracts and data governance policies before any tag or container is configured. Zeo specialists define data lineage, ownership, and QA tolerances, while your team approves business definitions and privacy rules.
A governed path from business question to handover
Frame business goals
We map executive objectives and growth targets directly to explicit measurement requirements, identifying key stakeholders and decision boundaries.
Define metric architecture
We build the canonical KPI dictionary, documenting exact calculation formulas, underlying data sources, update cadences, and assigned metric owners.
Establish governance rules
We draft data hygiene contracts, consent compliance guidelines, naming conventions, and change-control protocols to keep measurement clean over time.
Operationalize & audit
We hand over the complete tracking plan and governance documentation, setting up scheduled audit checkpoints and team training for ongoing maintenance.
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
Measurement planning
Case Studies
Accounts where what to count was agreed before anyone changed a page.
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.
Yiğit Konur
Founder & Chief Strategy Officer
Ezgi Gülsen Yaylı
SEO Manager
Abdullah Tanıdır
Performance Marketing Team Lead
Sevda Yurtvermez
Performance Marketing Team Lead
İlker Emir
Senior Performance Marketing Executive
Serap Yurtvermez
Performance Marketing Team Lead
İpek Ezer
Performance Marketing Executive
Onur Durdağı
Performance Marketing Executive
Deniz Çağın Demirci
Frontend Developer
Mirzamin Aghazada
UI/UX Designer
Metehan Urhan
New Business & Partnership Manager
Content we've produced on this topic
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 AnalyticsWhile defining the metric architecture, each proposed KPI gets checked against what GA4 can actually report before it becomes an approved definition, since a metric that sounds precise on paper sometimes cannot be measured the way it was written. That check is what keeps this strategy layer from handing platform teams a contract nobody can implement.
- Adobe AnalyticsFor a client who has not yet committed to GA4 or Adobe Analytics as their platform, we write the metric architecture and governance rules first, checked against both platforms' capabilities, so the strategy does not accidentally assume a tooling decision that has not been made. That platform-agnostic framing is a deliberate feature of the strategy step, not an oversight.
- MatomoWhen a client's governance policy might eventually require moving to a self-hosted platform, we write the metric architecture so its definitions hold whether the underlying platform is GA4 or Matomo. That platform-independence is a governance requirement in itself, not a hedge against a decision we expect to reverse.
Tag management, CDPs & server-side tracking
- Google Tag ManagerWhile drafting the shared event taxonomy, we check GTM's existing container to confirm a newly proposed event name is not already firing under a different label. That check is what keeps a tracking-measurement plan from introducing a second name for something the container already tracks.
- Twilio SegmentWhen a client's stack routes events through Segment to multiple destinations, we write the tracking plan's naming rules with that fan-out in mind, since a governance rule that only considers GA4 can still let an event drift into three different names once it reaches other systems through the CDP.
- TealiumFor a client whose platform team implements tracking through Tealium rather than GTM, we write the governance and tracking-plan rules to apply cleanly there, since a strategy document that only makes sense for GTM syntax is not actually implementable by that team.
- SnowplowFor a client whose collection pipeline runs on Snowplow's strict schema validation, we write the tracking plan's event definitions to that same strictness, specifying types and required fields precisely enough that a platform team can turn them directly into an enforced schema rather than a loose guideline.
BI, dashboards & reporting
- Looker StudioThe operationalize-and-audit step this service names as its final stage gets delivered as a Looker Studio readout ranking findings by which stakeholder depends on which metric, not a flat issue list. That ranking is what turns a governance audit into something a platform team can prioritize immediately rather than a report that sits unread.
Product & mobile app analytics
- AmplitudeWhen a client's product organization already maintains its own KPI set inside Amplitude, we reconcile those definitions with the company-wide metric architecture during the frame-business-goals step, since an unreconciled product-team metric and a company-level metric with a similar name create exactly the kind of confusion this governance layer exists to prevent.
Privacy-first & cookieless analytics
- Piwik PROFor a client in a regulated industry, we write the governance rules with Piwik PRO's compliance posture as a reference point, since a metric architecture built without considering stricter hosting and consent requirements can need a rewrite the moment compliance review starts. That reference check happens during the establish-governance-rules step specifically.
- Plausible AnalyticsWhen a client's governance philosophy explicitly favors collecting less rather than more, we account for Plausible's cookieless, minimal-data model in the metric architecture, since a governance rule set built assuming GA4's full event model would not translate cleanly to a platform that deliberately tracks less.
Next step
Turn measurement into reliable business decisions
Questions