Abstract: Systems and methods disclosed herein generate a segment of tracked entities from a collection of profiles merged from different sources. Individuals and other entities use multiple electronic device and online accounts. Options for merging authentication-based profiles and device-based profiles of tracked entities are presented on a user interface accessible to a tracking entity. Systems and methods receive a selection of the options, the selection specifying criteria for merging authentication-based profiles with device-based profiles. Upon generating a collection of profiles by merging the authentication-based and device-based profiles based on the received options, a targeted segment of tracked entities is generated by applying defined segment rules to the collection of profiles.

Abstract: This disclosure relates to enforcing restrictions on data collected from a first set of systems and disseminated to a second set of systems. For example, enforcing a set of restrictions includes receiving a first trait and a second trait that include data describing a user that has interacted with an online service. The first trait is labelled with a first usage restriction and the second trait is labelled with a second usage restriction different from the first usage restriction. The first trait and the second trait are combined into a segment. The segment preserves labelling of the first trait with the first usage restriction and the second trait with the second usage restriction. Use of the segment is controlled based on the first usage restriction and the second usage restriction.

Abstract: Systems and methods are provided for identifying stable attributes in clusters of devices and naming the clusters of devices using the stable attributes. The stable attribute is selected from data associated with user/household behavior and data associated with each device. Because the stable attribute is associated with the device in the cluster determined to be the most stable, it is a persistent identifier that can be used to identify the user/household over time. Because the stable attribute is determined each time the clusters are determined, resources that would be required to track the user/household over time are saved and the system of tracking users/households is more efficient. Attributes evaluated to determine the stable attribute include IP address, the location of the device, hardware characteristics of the device, the date a CRM profile was created, timestamp of the first or last user authentication, and the number of authentications on that device.

Abstract: This disclosure relates to enforcing restrictions on data collected from a first set of systems and disseminated to a second set of systems. For example, enforcing a set of restrictions includes receiving a first trait and a second trait that include data describing a user that has interacted with an online service. The first trait is labelled with a first usage restriction and the second trait is labelled with a second usage restriction different from the first usage restriction. The first trait and the second trait are combined into a segment. The segment preserves labelling of the first trait with the first usage restriction and the second trait with the second usage restriction. Use of the segment is controlled based on the first usage restriction and the second usage restriction.

Abstract: This disclosure relates to enforcing restrictions on data collected from a first set of systems and disseminated to a second set of systems. For example, a method for enforcing a set of restrictions includes receiving a first trait and a second trait that include data describing a user that has interacted with an online service. The first trait is labelled with a first usage restriction and the second trait is labelled with a second usage restriction different from the first usage restriction. The method further includes combining the first trait and the second trait into a segment. The segment preserves labelling of the first trait with the first usage restriction and the second trait with the second usage restriction. The method further includes controlling use of the segment based on the first usage restriction and the second usage restriction.

Abstract: Systems and methods are provided for identifying stable attributes in clusters of devices and naming the clusters of devices using the stable attributes. The stable attribute is selected from data associated with user/household behavior and data associated with each device. Because the stable attribute is associated with the device in the cluster determined to be the most stable, it is a persistent identifier that can be used to identify the user/household over time. Because the stable attribute is determined each time the clusters are determined, resources that would be required to track the user/household over time are saved and the system of tracking users/households is more efficient. Attributes evaluated to determine the stable attribute include IP address, the location of the device, hardware characteristics of the device, the date a CRM profile was created, timestamp of the first or last user authentication, and the number of authentications on that device.

Abstract: Systems and methods disclosed herein generate a segment of tracked entities from a collection of profiles merged from different sources. Individuals and other entities use multiple electronic device and online accounts. Options for merging authentication-based profiles and device-based profiles of tracked entities are presented on a user interface accessible to a tracking entity. Systems and methods receive a selection of the options, the selection specifying criteria for merging authentication-based profiles with device-based profiles. Upon generating a collection of profiles by merging the authentication-based and device-based profiles based on the received options, a targeted segment of tracked entities is generated by applying defined segment rules to the collection of profiles.

Abstract: This disclosure relates to enforcing restrictions on data collected from a first set of systems and disseminated to a second set of systems. For example, a method for enforcing a set of restrictions includes receiving a first trait and a second trait that include data describing a user that has interacted with an online service. The first trait is labelled with a first usage restriction and the second trait is labelled with a second usage restriction different from the first usage restriction. The method further includes combining the first trait and the second trait into a segment. The segment preserves labelling of the first trait with the first usage restriction and the second trait with the second usage restriction. The method further includes controlling use of the segment based on the first usage restriction and the second usage restriction.