Ensuring accurate age targeting in adult ad networks while staying GDPR-compliant is about inference without identification. Instead of storing personal data, platforms rely on consented signals, contextual cues, and aggregated behavior patterns. Think of it like reading traffic flow rather than license plates: browsing context, device settings, and anonymized cohorts help estimate age ranges. Logs of ad interactions show which placements resonate with adult-eligible audiences, while frequency caps and verification gateways reduce exposure errors. Privacy techniques like differential privacy and on-device processing ensure no individual can be traced. Over time, these patterns refine targeting accuracy without retaining sensitive profiles at scale across distributed systems safely.