Abstract: Methods and apparatus, including computer program products, are provided for activity tracking. In some example embodiments, there may be provided a method that includes deriving, from radio frequency based data, pseudo sensor data representative of at least an activity of a user, the pseudo sensor data derived based on at least a machine learning model configured to transform the radio frequency based data into the pseudo sensor data; and providing the pseudo sensor data. Related systems, methods, and articles of manufacture are also described.

Abstract: A method comprising identifying a user account associated with a user, the user account referencing at least one third party user account associated with the user, receiving, by an apparatus from a separate apparatus, circumstantial information that is indicative of a user context of the user, determining the user context based on the circumstantial information, determining that the user context is classified by at least one user context classification that is associated with the third party user account, sending information indicative of the third party user account and the user context to a third party server, the third party server being associated with the third party user account, receiving a third party proposition from the third party server, and sending, to a user apparatus, the third party proposition in response to the receipt of the third party proposition is disclosed.

Abstract: A method comprising calculating a third party solicitation fee for a third party, receiving, from a third party server, a third party solicitation on behalf of the third party, sending the third party solicitation to a user apparatus in response to the receipt of the third party solicitation, the third party solicitation comprising a request for a specified action, receiving information indicative of the user apparatus performing the specified action, and decreasing the third party solicitation fee based, at least in part, on the receipt of the information indicative of the user apparatus performing the specified action is disclosed.

Abstract: A method comprising calculating a third party solicitation fee for a third party, receiving, from a third party server, a third party solicitation on behalf of the third party, sending the third party solicitation to a user apparatus in response to the receipt of the third party solicitation, the third party solicitation comprising a request for a specified action, receiving information indicative of the user apparatus performing the specified action, and decreasing the third party solicitation fee based, at least in part, on the receipt of the information indicative of the user apparatus performing the specified action is disclosed.

Abstract: A method comprising identifying a user account associated with a user, the user account referencing at least one third party user account associated with the user, receiving, by an apparatus from a separate apparatus, circumstantial information that is indicative of a user context of the user, determining the user context based on the circumstantial information, determining that the user context is classified by at least one user context classification that is associated with the third party user account, sending information indicative of the third party user account and the user context to a third party server, the third party server being associated with the third party user account, receiving a third party proposition from the third party server, and sending, to a user apparatus, the third party proposition in response to the receipt of the third party proposition is disclosed.