Kontexttargeting
KontextTargeting is a targeting approach used in digital advertising and content recommendation systems that aims to match messages to the surrounding content rather than to individual user histories.
The core idea is to analyze context signals such as page topics, keywords, taxonomy category, on-page metadata,
Common applications include displaying ads on web pages that discuss a specific topic, placing recommendations alongside
Advantages include stronger privacy (in some implementations) and lower risk of mismatch with the page topic,
Regulatory and ethical considerations emphasize transparency, consent where required, and minimizing data collection. KontextTargeting can be