Zeo designs and operates measurement systems that connect business decisions to governed collection, trustworthy data, useful reporting, and bounded analysis. Start with the owner that matches your decision and system boundary.

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Some of the 500+ brands we've worked with

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  • MediaMarkt
  • Vitra
  • Aksigorta
  • Sina Pırlanta
  • HDI Sigorta
  • Elle
  • Amazon
  • BMW
  • Shell
  • Hyundai
  • PepsiCo
  • Red Bull
  • Decathlon
  • Bayer
  • Sanofi
  • EY
  • KPMG
  • GE
  • 3M
  • Domino’s
  • Lexus
  • Trendyol
  • Hepsiburada
  • Yandex

Some teams need their KPI definitions settled first; others need collection, reporting, or attribution fixed. These eight areas cover the whole measurement lifecycle, and each one hands its work to the next with a defined boundary.

Measurement starts by deciding what matters, continues through controlled collection and data foundations, and ends in decision systems with explicit limits. Each owner has a defined handoff to the next.

KPI definitions belong to Strategy, browser tags to GTM, server endpoints to Server-Side, transformations to Engineering, reporting interfaces to Dashboards, channel contribution to Marketing, and in-product behavior to Product.

Every published task has a distinct decision, method, deliverable, acceptance test, worked example, limitation, and bilingual owner.

We use AI agents for bounded inspection, comparison, and documentation. Named specialists reproduce material findings. Client owners approve meaning, privacy choices, and release. We do not publish capability-gated services until their owner and proof gates pass.

Each stage leaves the next owner a clear output they can build on.

  1. Decide

    Define decisions, KPIs, event contracts, ownership, and quality gates.

  2. Collect

    Configure GA4 and browser-side GTM against the approved contract.

  3. Connect

    Operate first-party collection and durable transformations with lineage.

  4. Understand

    Build trusted reporting, customer analysis, and bounded measurement models.

  5. Act and learn

    Authorize decisions, monitor controls, record outcomes, and update the contract.

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 AnalyticsThis hub is explicit that web analytics is a lifecycle, not a disconnected tool list. GA4 remains the common baseline Zeo checks first before recommending changes to engineering, dashboards, attribution, or product measurement.
  • MatomoThe hub's scope question often becomes a governance question as much as a reporting one. Matomo is the family-level anchor for clients whose measurement architecture is constrained by privacy, hosting, or retention ownership requirements.

Tag management, CDPs and server-side tracking

  • Google Tag ManagerThe hub's Decide and Collect steps become real here. GTM is where event definitions, consent conditions, and outbound platform tags are actually implemented, making it the natural hub-level anchor for measurement execution.
  • Twilio SegmentThis hub's Connect step needs an explicit owner and system boundary. Segment is the canonical routing layer when Zeo needs one governed stream to feed analytics, CRM, experimentation, and activation surfaces without redefining each event repeatedly.
  • SnowplowServer-side, first-party, and analytics engineering work often start when packaged analytics is too limiting. Snowplow is the hub-level anchor for that deeper ownership path, where the event model is treated as infrastructure rather than configuration.

BI, dashboards and reporting

  • Looker StudioThe hub asks how dashboards are built and delivered. Looker Studio is the practical answer at family level: a reporting surface close enough to the governed data model that owners can review outcomes without introducing a second analytics logic layer.

Product and mobile app analytics

  • PostHogProduct & Customer is one of the hub's named owner tracks. PostHog is the clearest anchor for that territory because it joins behavioral analysis, replay, and experimentation in one operating surface instead of several stitched tools.
  • AmplitudeWhen the hub's Understand step becomes a product question about funnels, retention, or pathing, Amplitude is the specialist analysis surface Zeo reaches for beyond general-purpose reporting.
Share your data stack and tracking challenges. We will design a clean collection architecture and actionable reporting infrastructure.
Brief us

How does web analytics support business decision-making?

Web analytics provides an empirical basis for capital allocation and product decisions. By mapping user pathways and conversion drop-offs to specific business outcomes, teams isolate friction in their funnels and validate changes with evidence rather than intuition.

When should a company audit its analytics architecture?

Measurement auditing is essential before major site redesigns, platform migrations, rebrandings, or launches of new marketing channels. Regular audits every 6 to 12 months catch data drift, broken tags, and consent mode discrepancies before they skew reporting.

How does Web Analytics consultancy enrich standard analytics data?

Out-of-the-box GA4 only captures generic page views and default sessions. We implement custom dataLayers, business-specific event schemas, user properties, and server-side enrichment so your reporting reflects actual user intent and offline conversion milestones.

Do we need an engineering team to implement Web Analytics?

Most browser-side tag management and event rules are implemented directly through Google Tag Manager without engineering sprint time. When custom dataLayer pushes or server-side endpoints are required, we provide precise code specifications and work alongside your developers to minimize overhead.

Which tools does Zeo use for Web Analytics consulting?

We work with Google Analytics 4, Google Tag Manager (Web and Server-Side), Looker Studio, BigQuery, and major CDP/CMP platforms like OneTrust and Usercentrics. For product analytics, we also integrate tools like Mixpanel and Amplitude.

How are custom analytics dashboards built and delivered?

We construct automated dashboards in Looker Studio or connected BI systems fed directly by BigQuery or GA4 exports. Reports are designed around agreed KPIs, eliminating noise and giving leadership immediate clarity on performance.

What does a Google Analytics 4 (GA4) audit cover?

A GA4 audit reviews property settings, event taxonomy, key event definitions, attribution settings, referral exclusion lists, identity spaces, and BigQuery link stability. We verify data integrity across DebugView and real report outputs.

How is the scope of a Web Analytics engagement determined?

Scope depends on your digital model. E-commerce platforms require item-level dataLayer reconciliation, checkout funnel tracking, and refund handling, while lead generation sites focus on multi-step form measurement, qualified lead scoring, and CRM pipeline attribution.

How does Web Analytics improve conversion rate optimization (CRO)?

You cannot optimize what you do not accurately measure. Precise event tracking exposes exact drop-off steps in checkout or signup flows, allowing CRO teams to formulate grounded hypotheses and run statistically sound A/B tests.

What are the main benefits of hiring a Web Analytics consultant?

An external specialist brings rigorous data governance, unbiased auditing, and deep experience across server-side tracking, consent compliance, and advanced analytics engineering. This prevents silent tracking breaks and ensures executive dashboards remain trustworthy.

What is involved in a GA4 migration or reconfiguration?

We map existing event structures to GA4 schemas, set up GTM containers, configure key events and custom dimensions, validate data flows in BigQuery, and build executive dashboards so historical continuity is preserved.

Why is Web Analytics essential for SEO and Performance Marketing?

SEO and paid media drive acquisition, but web analytics proves revenue contribution. Governed event tracking reconciles channel performance, helping teams reallocate ad spend and evaluate organic landing page value accurately.