Behavioral Targeting
Behavioral targeting reaches users based on their observed past actions "” pages visited, searches, purchases, and engagement "” building profiles that predict interest and intent.
Key takeaways
- Behavioral targeting uses observed past actions to predict interest.
- Retargeting "” re-reaching site visitors "” is its most common application.
- It historically depended heavily on third-party cookies.
- Cookie loss shifted it toward first-party and logged-in environments.
Behavior as a signal
Behavioral targeting assumes past action predicts future interest. Someone who browsed hiking boots is likely in-market for outdoor gear. The most familiar form is retargeting: showing ads to people who previously visited a site or abandoned a cart.
How cookie loss reshaped it
Cross-site behavioral tracking depended on third-party cookies, so open-web behavioral targeting and retargeting were among the hardest hit by deprecation. The behavior signal survives best inside first-party and logged-in environments, where a company observes activity it owns.
| Signal | Observed past actions |
|---|---|
| Classic use | Retargeting / remarketing |
| Dependency | Historically third-party cookies |
| Now strongest | First-party, logged-in contexts |
Frequently asked questions
What is retargeting?
Retargeting is behavioral targeting that re-reaches users who previously interacted with a brand "” for example, showing ads to someone who visited a product page or abandoned a cart.
How did cookie loss affect behavioral targeting?
It sharply reduced cross-site behavioral tracking on the open web, pushing the technique toward first-party and logged-in environments where behavior can be observed without third-party cookies.