User-level Topic Affinities

Through automatic rich topic extraction, each URL has a set of topics. Through data collection and user fields, each user has a set of URLs visited. Given the link between URLs visited and topics for URLs, Lytics can algorithmically calculate which topics a user has shown interest in.

This is the core of Lytics content recommendations as well as building audiences based on content affinity.

Note: Since topic affinities are a product of user behavior, conclusions can only be drawn about topic affinities relative to other topics and other users. For these reasons, attempting to calculate topic aversion would be an unsafe extrapolation.