How I approach compliance, data minimization, consent architecture, and the translation layer between legal and marketing technology.
Privacy-aware measurement is not a choice between compliance and performance.
It is the work of designing a measurement system where data collection is deliberate, explainable, and proportionate while still giving platforms enough useful signal to optimize.
How I approach it
Legal teams usually understand the obligation. Marketing teams usually understand the performance risk. The gap is the technical translation layer between them.
That translation layer needs to answer practical questions:
- what data is collected and why
- which vendors receive it
- whether the data is personal, sensitive, or unnecessary
- how consent states change collection and activation
- which settings inside Meta, Google, GA4, GTM, CMPs, and server-side systems matter
- how the organization will maintain the architecture over time
The best privacy work makes the system easier to defend and easier to operate.
Where this connects
Privacy-aware measurement touches tracking architecture, analytics quality, media performance, and governance. Compliance should become the forcing function for a better system, not just a blocker added at the end.