Abstract: A server receives incoming data records comprising an ID value and respective user attributes corresponding to a user activity that originates at a user device. Characteristics of the activity and/or characteristics of the user device are considered in order to assign a probabilistic confidence value, which is in turn used to generate links from an incoming data record to other previously-received data records, and in so doing, generates a probabilistic link between one set of user attributes from the incoming data record and another set of user attributes from previously-received data records. A messaging campaign specification that describes target user attributes is used to identify a matching set of target audience member records. The determination of a match or not is based on the probabilistic confidence value and a threshold can be varied to extend audience reach. The identified set of target audience member records are transmitted over a network.

Abstract: A server receives incoming data records comprising an ID value and respective user attributes corresponding to a user activity that originates at a user device. Characteristics of the activity and/or characteristics of the user device are considered in order to assign a probabilistic confidence value, which is in turn used to generate links from an incoming data record to other previously-received data records, and in so doing, generates a probabilistic link between one set of user attributes from the incoming data record and another set of user attributes from previously-received data records. A messaging campaign specification that describes target user attributes is used to identify a matching set of target audience member records. The determination of a match or not is based on the probabilistic confidence value and a threshold can be varied to extend audience reach. The identified set of target audience member records are transmitted over a network.

Abstract: The present disclosure provides systems, methods, and computer program products for real-time cross-device user category synchronization. Embodiments commence upon allocating or identifying user data records comprising two user profiles. The user profiles are populated with information by receiving electronic communications over a network, where the information comprises user category information and device attributes found in data records that originate from user devices. Steps are taken to associate a first device data record with a second device data record, wherein the association is based at least in part on a match between selected attributes among the user devices. User category information within the user profiles are synchronized to form updated user profiles. Some embodiments further execute steps for forming a cross-device map that identifies an association between an updated first user profile and a second user profile.

Abstract: The present disclosure provides systems, methods, and computer program products for real-time cross-device user category synchronization. Embodiments commence upon allocating or identifying user data records comprising two user profiles. The user profiles are populated with information by receiving electronic communications over a network, where the information comprises user category information and device attributes found in data records that originate from user devices. Steps are taken to associate a first device data record with a second device data record, wherein the association is based at least in part on a match between selected attributes among the user devices. User category information within the user profiles are synchronized to form updated user profiles. Some embodiments further execute steps for forming a cross-device map that identifies an association between an updated first user profile and a second user profile.