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

See all references
  • MediaMarkt
  • Vitra
  • Aksigorta
  • Sina Pırlanta
  • HDI Sigorta
  • Elle

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 We do not publish capability-gated services until their owner and proof gates pass.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 & 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 & 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 & 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.
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