Abstract: Disclosed is a method that includes: profiling a set of mobile applications according to revenue-related parameters; tracking a user's interaction with a mobile application; scoring the user's interaction levels, and based on the score, grouping users into mobile analytics groups associated with the targeting profiles; facilitating the transmission of user information, user interaction data, and specific mobile analytics groups to advertising campaigns. The method may be executed on a digital device. A related system is disclosed.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for selecting a routing provider that is best suited to deliver each individual message. The message exchange system selects a routing provider based on customer criteria provided by the customer, bids provided by the routing providers and/or performance of the routing providers. The message exchange system ranks the bids based on a ranking value calculated for each bid based on the cost value associated with the bid, the quality score of the associated routing provider and the customer criteria. The message exchange system selects a bid based on the resulting ranking values. For example, the message exchange system selects the bid that is ranked the highest based on the ranking values. The message exchange system then transmits the message to its intended recipient via the routing provider associated with the selected bid.

Abstract: Disclosed is a method that includes: profiling a set of mobile applications according to revenue-related parameters; tracking a user's interaction with a mobile application; scoring the user's interaction levels, and based on the score, grouping users into mobile analytics groups associated with the targeting profiles; facilitating the transmission of user information, user interaction data, and specific mobile analytics groups to advertising campaigns. The method may be executed on a digital device. A related system is disclosed.

Abstract: Disclosed is a method that includes: profiling a set of mobile applications according to revenue-related parameters; tracking a user's interaction with a mobile application; scoring the user's interaction levels, and based on the score, grouping users into mobile analytics groups associated with the targeting profiles; facilitating the transmission of user information, user interaction data, and specific mobile analytics groups to advertising campaigns. The method may be executed on a digital device. A related system is disclosed.

Abstract: Disclosed is a method that includes: profiling a set of mobile applications according to revenue-related parameters; tracking a user's interaction with a mobile application; scoring the user's interaction levels, and based on the score, grouping users into mobile analytics groups associated with the targeting profiles; facilitating the transmission of user information, user interaction data, and specific mobile analytics groups to advertising campaigns. The method may be executed on a digital device. A related system is disclosed.