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.
Does better tracking automatically improve ROAS?
No, tracking alone does not improve ROAS. But it helps evaluate campaigns, channels and conversions more reliably. This makes budget decisions, optimisation and testing much more informed.
Do you use AI tools in client projects?
Yes, but transparently and by agreement. Depending on the project, I use AI tools for research, structuring, SQL/JavaScript support or analysis preparation. Whether and which data may be used is clarified in advance.
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 may be a few hours, several days, or sometimes no hours at all. I can prepare a proposal if required.