GA4 becomes hard to trust when the property contract, events, ecommerce collection, integrations, and reports have grown apart. We bring them back under one governed setup.

Some of the 500+ brands we've worked with

See all references
  • Otsimo
  • Grandvision
  • Koleksiyon Mobilya
  • Evreka
Choose the smallest engagement that matches the decision, system boundary, and acceptance evidence you need.

Collection & implementation

A Zeo specialist inspecting a GA4 property model with a flashlight, tagging issues as they surface

GA4 Audit & Remediation Planning

We audit the GA4 property across events, consent, integrations, and reporting, then set out a prioritized GA4 remediation plan.

Start here when the property was inherited and nobody can say yet whether it is trustworthy; every finding arrives ranked and backed by an export.

A Zeo crew assembling a GA4 property like furniture with panels, streams, and settings dials

GA4 Implementation & Configuration

We configure GA4 streams, events, key events, referrals, retention, and identity, then document the property decisions your team needs to maintain.

There is nothing to audit yet. Streams, retention, internal-traffic filters, and how markets roll up all need settling before the first event is named.

Two Zeo specialists wiring GA4 event tiles through a DebugView lens toward a key-events board

GA4 Event & Conversion Tracking

The validated GA4 event and conversion contract records event semantics, parameters, key events, attribution inputs, and how each one was checked.

The property settings hold up, but one business action reaches GA4 under several event names, so no report can say which of them counts as the conversion.

A Zeo builder loading product boxes onto a dataLayer conveyor feeding into a GA4 cart report

GA4 Ecommerce & dataLayer Implementation

We build the GA4 ecommerce implementation around the commerce journey, then reconcile item arrays, value, currency, promotions, refunds, and deduplication.

Choose this when GA4 revenue and the order system disagree for commerce reasons — item arrays, refunds, coupons, or a multi-currency cart nobody has reconciled.

A Zeo specialist connecting a GA4 pipe to Ads and BigQuery sockets on a patch panel

GA4 Integrations & Data Activation

Your approved GA4 integration and activation register records links, audience destinations, BigQuery export, Ads activation, and permission boundaries.

The property is trusted and the open question now points outward, to which Ads link, BigQuery export, or audience destination stays on and who answers for it.

A Zeo analyst comparing two report printouts on a split light table

GA4 Reporting Validation & Reconciliation

When GA4 reports disagree with their sources, we trace filters, thresholds, attribution, identity, latency, and source variance to a reconciled GA4 reporting baseline.

One GA4 figure is disputed against a CRM or finance total, and the argument needs a verdict on that single report rather than another property-wide sweep.

This service configures and validates GA4 properties, business events, ecommerce collection, integrations, and reporting so teams can work from an agreed contract.

GA4 owns the property contract. GTM owns browser-side tag deployment.

Every engagement has named inputs, owners, human approval gates, reproducible QA, explicit limitations, and an operating handover.

We configure and validate GA4 streams, custom dimensions, key events, and ecommerce models against agreed specifications. Zeo specialists run DebugView journey tests and BigQuery reconciliation, while your team authorizes property access and accepts final reporting accuracy.

A controlled technical delivery path from audit to property activation.
  1. Audit property & events

    We inspect current GA4 data streams, custom definitions, key events, referral exclusion lists, and Google Signals settings to identify configuration drift.
  2. Configure schema & dataLayers

    We structure GA4 property settings, event schemas, custom parameters, and ecommerce dataLayer pushes according to your business requirements.
  3. Validate in DebugView

    We test representative user journeys in DebugView, validating parameter formatting, deduplication keys, and event trigger timing.
  4. Activate & reconcile

    We establish BigQuery export links, connect Google Ads audiences, and deliver automated reconciliation reports comparing GA4 against backend order logs.

A client describing the planning and reporting problems we started from.

Dr. Kadir Kırmızı
Turna

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

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 AnalyticsAcross audit, configuration, event tracking, and reporting validation, GA4 is the property we govern directly rather than a downstream report we build from. That distinction is what separates a GA4 consulting engagement from an analytics-owner page that treats GA4 purely as a data source: here the property's own settings, retention rules, and event contract are the deliverable.
  • Adobe AnalyticsFor a client running Adobe Analytics alongside GA4, whether mid-migration or by design, we reconcile the two platforms' definitions and numbers as part of the audit, since a metric that means one thing in Adobe's processing rules can mean something subtly different once it lands in GA4. That reconciliation is scoped to the migration or dual-run case specifically, not a default part of every engagement.
  • MatomoWhen a client's privacy or data-residency requirements make a fully self-hosted or EU-hosted platform necessary alongside or instead of GA4, we configure Matomo to run in parallel with the same event contract wherever possible. That parallel-run approach is what lets a client test a migration path without losing GA4's historical baseline mid-project.

Tag management, CDPs & server-side tracking

  • Google Tag ManagerWe treat GTM's container version history as a separate evidence source from the GA4 property itself, since deployment and configuration are two different systems that can each break independently. Cross-referencing GTM's publish dates against when GA4's numbers actually shift is how a finding gets dated to a specific change instead of described as broken now.

BI, dashboards & reporting

  • Looker StudioFindings from a GA4 audit get ranked by decision impact and delivered as a Looker Studio readout the client's team keeps open and works through. That format is the actual deliverable of an audit-and-planning engagement, distinct from the ongoing operational dashboards a data-visualization page would build.
  • SupermetricsDuring the integrations and activation step, when a report needs GA4 sitting next to ad platforms or other marketing tools GA4 does not natively connect to, we route the blend through Supermetrics. That blended feed is what lets a stakeholder see GA4 conversions next to ad spend without a manual export-and-merge step.

Product & mobile app analytics

  • Firebase AnalyticsWhen a client's property spans a native mobile app, we configure Firebase Analytics as the same underlying event schema GA4 uses for web, since Firebase Analytics is GA4's own mobile SDK rather than a competing platform. That shared model is what keeps a cross-platform property's events consistent between the app and the site.
  • MixpanelWhen a client's product team already runs Mixpanel independently of the marketing-facing GA4 property, we review how the two event definitions relate during the integrations and activation step, since the same user action can be named differently in each system. That reconciliation keeps a cross-functional KPI from meaning two different things depending on who pulled the number.
  • AmplitudeWhere a client's product team already standardizes on Amplitude rather than Mixpanel, we reconcile the same event-definition gap against it during integrations work. Which of the two we check against follows the client's existing tool, not a fixed preference in this GA4 consulting practice.

Session replay, heatmaps & experience analytics

  • ContentsquareWhen the GA4 audit surfaces an anomaly a quantitative report cannot fully explain, a sudden drop in a specific event's rate, we cross-check it against Hotjar recordings for the same period. Seeing the actual session is sometimes the fastest way to confirm whether the finding is a tracking break or a real behavior change.
  • Microsoft ClarityFor a client where a paid session-replay tool is not justified, or one already standardized on Microsoft's ecosystem, we run the same anomaly cross-check through Microsoft Clarity instead of Hotjar. It answers the identical question, whether a GA4 finding reflects a real behavior change, at no added licensing cost.

Privacy-first & cookieless analytics

  • Piwik PROFor a client with compliance requirements beyond what a self-hosted Matomo instance satisfies, HIPAA-eligible hosting or a managed compliance posture, we configure Piwik PRO instead. It sits alongside Matomo in this consulting practice as the more enterprise-managed option for the same underlying need, a GA4 alternative or parallel that satisfies stricter data rules.
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