Algorithmic profiling turns traces of behaviour into a working model of who a person is and what they may do next.
Digital systems collect clicks, searches, pauses, purchases, and viewing patterns. Profiling combines those traces into inferred categories, such as interests, vulnerabilities, likely preferences, or purchasing intent. The profile is not a complete person. It is an operational model used to rank content, target messages, and allocate attention.
The power of profiling lies in its feedback loop. A system observes behaviour, predicts a response, selects what to show, and then treats the response as confirmation. This can make a temporary curiosity look like a stable identity and can turn an old action into a future constraint. The person is not only being described; their next field of choice is being shaped.
Source: Federal Trade Commission, Data Brokers: A Call for Transparency and Accountability; Zuboff, The Age of Surveillance Capitalism.