Behavioral Targeting

Detailed explanation

Behavioral Targeting delivers ads based on a user's observed browsing activity rather than static demographic traits or a single moment of intent. By tracking which sites and pages a user visits over time (typically through cookies, pixels, or other tracking technology), platforms build a behavioral profile that suggests what that person is likely interested in or currently shopping for, and then match ads to that inferred behavior pattern.

This differs from retargeting in scope: retargeting specifically re-engages people who visited the advertiser's own site, while behavioral targeting draws on a much broader pattern of activity across many third-party sites to infer general interests and intent, even for users who have never visited the advertiser's site before. It also differs from interest-based targeting in mechanism — behavioral targeting is built from actual observed activity, while interest-based targeting can also draw on stated preferences, content categories, or platform-inferred interest labels.

Behavioral targeting tends to produce more relevant ad delivery than broad demographic targeting because it reflects what someone is actually doing online rather than who they statistically resemble, but it depends heavily on the availability of third-party tracking data — which has become increasingly constrained by browser cookie restrictions and privacy regulation, pushing advertisers toward first-party data and contextual alternatives.