Linking separate anonymous actions to a common user
First information associated with a first anonymous user, which indicates activities related to interactions of the first user with a first website, is obtained using a cookie. Second information associated with a second anonymous user, which indicates activities related to interactions of the second user with a second website, is obtained using a cookie. The first information and the second information are correlated to determine commonalities between the first information and the second information. In response to identifying at least one commonality, the first user identifier is associated with the second user identifier, and the first information is aggregated with the second information, based on the association. The aggregated information is stored in a profile associated with a single user, who is classified based on the aggregated information. The user, who may still be anonymous, is provided content based on the aggregated information.
1. A method comprising:
obtaining a first cookie from a first device via a communications network, wherein the first cookie includes a first identifier corresponding to a first anonymous user identifier stored in a database, and wherein the first anonymous user identifier is associated with first information stored in the database, the first information indicating activities related to interactions of a first anonymous user with a first website;
obtaining a second cookie from a second device via the communications network, wherein the second cookie includes a second identifier corresponding to a second anonymous user identifier stored in the database, and wherein the second anonymous user identifier is associated with second information stored in the database, the second information indicating activities related to interactions of a second anonymous user with a second website;
correlating the first information and the second information to determine commonalities between the first information and the second information;
in response to identifying at least one commonality of the commonalities:
determining that the first anonymous user and the second anonymous user are a single user based on the at least one commonality; and
automatically updating the database to include a single unified listener identifier (ULID) associating the first information with the second information by linking the first anonymous user identifier with the second anonymous user identifier, wherein the single ULID identifies the single user.
2. The method of claim 1 , further comprising:
associating, in the database, one or more listener profile classifications to the single user based on the first information and the second information.
3. The method of claim 2 , further comprising:
selecting content from a pool of content based on the one or more listener profile classifications; and
transmitting the content to a device associated with the single user.
4. The method of claim 3 , wherein at least one of the selecting or the transmitting is performed by a web-based advertisement placement service provider.
5. The method of claim 3 , wherein the device is a smart phone.
6. The method of claim 2 , further comprising:
transmitting the one or more listener profile classifications to a content selection service.
7. The method of claim 1 , wherein:
the first information includes a device identifier; and
the at least one commonality between the first information and the second information includes the device identifier.
8. A computer system, comprising:
one or more processors configured to process program instructions;
a memory device connected to said one or more processors; and
program instructions residing in said memory device, said program instructions configured to implement a method including:
obtaining a first cookie from a first device via a communications network, wherein the first cookie includes a first identifier corresponding to a first anonymous user identifier stored in a database, and wherein the first anonymous user identifier is associated with first information stored in the database, the first information indicating activities related to interactions of a first anonymous user with a first website;
obtaining a second cookie from a second device via the communications network, wherein the second cookie includes a second identifier corresponding to a second anonymous user identifier stored in the database, and wherein the second anonymous user identifier is associated with second information stored in the database, the second information indicating activities related to interactions of a second anonymous user with a second website;
correlating the first information and the second information to determine commonalities between the first information and the second information;
in response to identifying at least one commonality of the commonalities:
determining that the first anonymous user and the second anonymous user are a single user based on the at least one commonality; and
automatically updating the database to include a single unified listener identifier (ULID) associating the first information with the second information by linking the first anonymous user identifier with the second anonymous user identifier, wherein the single ULID identifies the single user.
9. The computer system of claim 8 , wherein the method further includes:
associating, in the database, one or more listener profile classifications to the single user based on the first information and the second information.
10. The computer system of claim 9 , wherein the method further includes:
selecting content from a pool of content based on the one or more listener profile classifications; and
transmitting the content to a device associated with the single user.
11. The computer system of claim 10 , wherein at least one of the selecting or the transmitting is performed by a web-based advertisement placement service provider.
12. The computer system of claim 10 , wherein the device is a smart phone.
13. The computer system of claim 9 , wherein the method further includes:
transmitting the one or more listener profile classifications to a content selection service.
14. The computer system of claim 8 , wherein:
the first information includes a device identifier; and
the at least one commonality between the first information and the second information includes the device identifier.
15. A computer program product comprising:
a non-transitory computer-readable storage medium tangibly embodying a program of instructions configured to implement a method including:
obtaining a first cookie from a first device via a communications network, wherein the first cookie includes a first identifier corresponding to a first anonymous user identifier stored in a database, and wherein the first anonymous user identifier is associated with first information stored in the database, the first information indicating activities related to interactions of a first anonymous user with a first website;
obtaining a second cookie from a second device via the communications network, wherein the second cookie includes a second identifier corresponding to a second anonymous user identifier stored in the database, and wherein the second anonymous user identifier is associated with second information stored in the database, the second information indicating activities related to interactions of a second anonymous user with a second website;
correlating the first information and the second information to determine commonalities between the first information and the second information;
in response to identifying at least one commonality of the commonalities:
determining that the first anonymous user and the second anonymous user are a single user based on the at least one commonality; and
automatically updating the database to include a single unified listener identifier (ULID) associating the first information with the second information by linking the first anonymous user identifier with the second anonymous user identifier, wherein the single ULID identifies the single user.
16. The computer program product of claim 15 , wherein the method further includes:
associating, in the database, one or more listener profile classifications to the single user based on the first information and the second information.
17. The computer program product of claim 16 , wherein the method further includes:
selecting content from a pool of content based on the one or more listener profile classifications; and
transmitting the content to a device associated with the single user.
18. The computer program product of claim 17 , wherein at least one of the selecting or the transmitting is performed by a web-based advertisement placement service provider.
19. The computer program product of claim 17 , wherein the device is a smart phone.
20. The computer program product of claim 16 , wherein the method further includes:
transmitting the one or more listener profile classifications to a content selection service.