Networks can infer relevance from page content, search keywords, and real-time engagement patterns like clicks, dwell time, and scroll depth. Instead of tracking people, they rely on privacy-safe cohorts, on-device processing, and broad location signals to approximate audience interests.
Performance feedback still comes from aggregate conversion rates, A/B testing of creatives, and anonymized funnel logs showing drop-offs. Over time, these patterns help optimize messaging without exposing individual identities, but can they stay as precise as behavioral tracking?
Performance feedback still comes from aggregate conversion rates, A/B testing of creatives, and anonymized funnel logs showing drop-offs. Over time, these patterns help optimize messaging without exposing individual identities, but can they stay as precise as behavioral tracking?