Utilizing cross-network identity data for audience analysis, metrics, profiling and targeting

A computer-implemented method for implementing an audience operations service that utilizes cross network identity data, comprising:

• an identity resolution system aggregating, for each of one or more candidate identities, by one or more computer processors, a plurality of one or more intra-related identities into an aggregated meta-identity, said aggregated meta-identity representing a single underlying entity at an established likelihood, and said aggregated meta-identity containing a unified meta-profile comprising at least one of:
• a combined profile information,
• a combined intra-related identity relationships, or
• a combined inter-related identity relationships
• of the aggregated meta-identity's component intra-related identities;
• wherein at least one of the plurality of intra-related identities is not registered with the identity resolution system;
• and
• responding to requests for audience operations on:
• one or more specified identities, or
• one or more specified groups of identities, or both;
• by utilizing the aggregated meta-identities intra-related to either:
• the specified identities, or
• identities associated to the specified groups;
• wherein the audience operations service is implemented using one or more computer memories.

A non-transitory computer-readable medium comprising instructions or program code that, when executed by at least one processor, cause a computer system to determine that multiple identities or social media profiles correspond to a common entity, and utilize the profile data associated to any identity intra-related to the common entity in place of any identity also intra-related to the common entity, by:

• aggregating, for each of one or more specified identities, one or more intra-related identities into an aggregated meta-identity representing a single underlying entity at an established likelihood, said aggregated meta-identity containing a unified meta-profile comprising at least one of:
• a combined profile information,
• a combined intra-related identity relationships, or
• a combined inter-related identity relationships
• of the aggregated meta-identity's component intra-related identities;
• wherein at least one of the plurality of intra-related identities is not registered with the identity resolution system;
• and either:
• responding to requests for audience operations on one or more specified identities by utilizing the aggregated meta-identities intra-related to the one or more specified identities, or
• responding to requests for audience operations on one or more specified groups of one or more identities by utilizing the aggregated meta-identity intra-related to each identity associated to each of the one or more specified groups.

A computer system comprising one or more server computers comprising non-transitive computer memory and configured to provide an audience operations service that utilizes cross network identity data and is implemented by configuring the one or more server computers and computer memory to:

• aggregate, for each of one or more specified identities, utilizing an identity resolution system, one or more intra-related identities into an aggregated meta-identity representing a single underlying entity at an established likelihood, said aggregated meta-identity containing a unified meta-profile comprising at least one of:
• a combined profile information,
• a combined intra-related identity relationships, or
• a combined inter-related identity relationships
• of the aggregated meta-identity's component intra-related identities;
• wherein at least one of the plurality of intra-related identities is not registered with the identity resolution system;
• and either:
• respond to requests for audience operations on one or more specified identities by utilizing the aggregated meta-identities intra-related to the one or more specified identities, or
• respond to requests for audience operations on one or more specified groups of one or more identities by utilizing the aggregated meta-identities intra-related to each identity associated to each of the one or more specified groups.