Implementing privacy-compliant behavioural targeting requires a strategic approach that goes beyond technical implementation. We focus on creating sustainable systems that evolve with regulatory changes and consumer expectations. The foundation starts with data minimisation—collecting only what's necessary for specific, declared purposes. This principle, embedded in APP 3, actually enhances targeting effectiveness by focusing on quality over quantity.
Our methodology emphasises progressive profiling, where customer data is gathered gradually through value exchanges rather than aggressive upfront collection. This approach typically yields 60% higher consent rates compared to traditional all-or-nothing consent models. By demonstrating immediate value from shared data, businesses build trust while gathering the insights needed for effective personalisation.
The technical architecture we recommend centres on first-party data activation. This includes implementing server-side tagging, building unified customer profiles, and creating privacy-safe audience segments. These technical foundations ensure that behavioural targeting remains effective even as third-party cookies disappear and privacy regulations tighten.
Critically, successful implementation requires organisational alignment. Marketing, IT, and legal teams must collaborate to ensure that targeting strategies align with both business objectives and compliance requirements. We facilitate this alignment through structured workshops and clear governance frameworks that embed privacy considerations into every marketing decision.