Rolf Seegelken

Services

Analytics packages for more reliable data.

Concrete, modular support — from the initial assessment to a documented handover.

Service packages

Five paths to a reliable data foundation.

The exact scope is shaped around your requirements, setup and team.

Tracking Audit

Goal: find gaps, duplicates, consent issues and unreliable events.

Potential deliverables

  • Audit checklist
  • Findings summary
  • Prioritized fixes
  • Implementation recommendations

GTM / GA4 Setup

Goal: create a clean event structure, maintainable tags and useful GA4 data.

Potential deliverables

  • Tracking concept
  • GTM implementation
  • GA4 event mapping
  • Validation checklist

Server-side Tracking

Goal: enable more robust data collection and cleaner vendor forwarding.

Potential deliverables

  • Server-side architecture
  • sGTM or equivalent setup planning
  • Event forwarding rules
  • Monitoring recommendations

Consent & Data Quality

Goal: align tracking with consent state and improve trust in analytics data.

Potential deliverables

  • Consent signal review
  • Tag firing logic
  • Data quality checks
  • Documentation

BigQuery & Reporting

Goal: make raw analytics data useful for analysis and decision-making.

Potential deliverables

  • SQL analyses
  • BigQuery data models
  • Dashboard / Data Studio concepts
  • Recurring reporting checks

Collaboration

How I work.

A transparent process keeps goals, implementation and data quality in view.

  1. 01

    Goals & open questions

    Discuss goals and open questions, then decide whether a full audit is necessary.

  2. 02

    Short analysis or audit

    Analyze the existing setup at the appropriate depth and identify concrete areas for action.

  3. 03

    Tracking concept

    Define measurement logic, events, consent dependencies and responsibilities.

  4. 04

    Implementation support

    Support teams with a maintainable, pragmatic implementation.

  5. 05

    Validation

    Systematically test events, data flows and relevant quality criteria.

  6. 06

    Documentation & handover

    Hand over results, decisions and next steps in a clear format.

Common questions

Practical questions about analytics consulting

What does privacy-compliant tracking mean?

Privacy-compliant tracking treats GDPR and other relevant legal and privacy requirements as implementation guardrails. Consent and rejection signals from the consent manager determine which analytics or marketing measurements may run. If data is collected without consent, it should be collected without identifiers: no user IDs, client IDs, advertising IDs, cookie IDs, device fingerprints, or other personal or pseudonymous identifiers should be sent.

What does a tracking audit include?

An audit reviews events, analytics and marketing tags, consent signals, data flows, and analytics settings such as GA4 settings. The findings and possible next steps are then discussed and prioritized together.

What are the benefits of server-side tracking?

Server-side tracking helps control which data is sent to analytics and marketing platforms and which data is not. It can make data flows more robust and maintainable; whether it fits depends on goals, architecture, consent, and operational feasibility.

What is a tracking concept?

A tracking concept is developed together with stakeholders from business, marketing, or product management. It translates business goals and requirements into a concrete tracking implementation plan for IT and implementation teams.

What is a consent manager needed for?

A consent manager records whether users consent or reject. Its consent signals control which measurement and marketing activities may run or send data, ensuring those choices are respected.

How can BigQuery improve analytics workflows?

BigQuery makes raw analytics data accessible through SQL and allows it to be combined with data from other systems such as shop systems or marketing platforms. This supports data models, reporting workflows, and continuous data quality monitoring.

How do projects usually start?

Projects start with a short discussion of goals, stakeholders, and open questions. Together, we decide whether a full audit is needed or a short analysis of the existing setup is the right first step.

How can we work together?

Collaboration can be project-based or continuous; both models are billed monthly. Continuous collaboration has no fixed monthly minimum: it can be 0 hours one month, 2 hours the next, or 3 days when needed. I can prepare a proposal if required.

Next step

Which package fits your setup?

Let’s discuss your requirements and a useful starting point.

Get in touch

Let’s discuss your requirements and a useful starting point.

Get in touch

View CV

Let’s discuss your requirements and a useful starting point.

View CV