Which targeting method focuses on user assumptions based on their online activity?

Behavioral targeting is a method that emphasizes understanding and predicting user behavior based on their online activities. This approach utilizes data derived from a user's browsing history, including pages visited, content consumed, and interactions made with various digital platforms. By analyzing this data, advertisers can create assumptions about a user's interests and preferences, enabling them to deliver more relevant and personalized ad experiences.

For instance, if a user frequently visits travel websites, behavioral targeting might serve ads related to travel deals, vacation destinations, or travel gear, anticipating that the user is interested in those topics. This method allows advertisers to effectively reach audiences by aligning their messages with user intent inferred from past online behavior.

In contrast, the other targeting methods focus on different aspects. Psycho-graphic targeting considers personality traits and lifestyle preferences, while demographic targeting centers on statistical characteristics like age, gender, or income. Geo-targeting is based on the geographical location of users. Each of these methods has its merits, but behavioral targeting specifically focuses on user actions and the subsequent assumptions that can be made from those actions, making it distinct in its approach to reaching potential customers.