Age-targeted online marketing using inferred age range information

• US 9,996,844 B2
• Filed: 09/30/2008
• Issued: 06/12/2018
• Est. Priority Date: 09/30/2008
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Chien, Shu-Yao, Lee, Linda S.
• Primary Examiner(s): Zeender, Florian M
• Assistant Examiner(s): Ortiz Roman, Denisse Y
• Application Number:
  US12/242,352
• Publication Number:
  US 20100082360A1
• Time in Patent Office: 3,542 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

Particular embodiments of the invention are directed to generating marketing-based age range products based at least on inferred data regarding the age of various network users. The age range products may be used for age-targeted online marketing.

Claims

1. A method for generating an age range product for online marketing, the method comprising:

receiving age-identifying data identifying an age for each of a first group of network users, wherein the first group of network users includes users that have visited a particular online website and have entered the age-identifying data during online registration;

tracking network user usage information associated with the first group of network users including web browsing activity and duration of activity, user actions on a social network, interactions with other users, online purchasing, and online memberships of the user;

determining usage patterns in the network user usage information including browsing and transaction behavior;

formatting and storing network user usage information and usage patterns as user-activity data;

accessing, over the Internet, user-activity data for a second group of network users, the user-activity data including data regarding the second group of network users'"'"' actions on the network, wherein the second group of network users includes users that have visited the particular online website and have entered false age-identifying data;

determining inferred age data for each of the second group of network users based at least on the user-activity data for each of the second group of network users;

selecting an age range by applying tiebreak rules to determine the age range with the highest determined confidence level from (a) the age-identifying data for the first group of network users and (b) the inferred age data for the second group of network users when the inferred age data and the age-identifying data do not match;

generating a marketing-related age range product for the particular age range based at least on the selected age range

determining, based on user identity information including a user IP address and an account identifier associated with a retrieval request, whether a particular user is currently online, wherein the user matches the selected age range and an advertiser-specified age range; and

transmitting advertiser sponsored content based on the marketing-related age range product to the particular user while the particular user is online and subsequently accessing the particular online website.

2. The method of claim 1 comprising:

identifying a first sub-group of users having an identified age within the particular age range based at least on the age-identifying data for each of the first group of network users;

identifying a second sub-group of users having a predicted age within the particular age range based at least on the inferred age data for each of the second group of network users; and

generating the marketing-related age range product for the particular age range based at least on the identified first sub-group of network users and the identified second sub-group of network users.

3. The method of claim 2 wherein:

the actual ages of one or more of the first sub-group of users having an identified age within the particular age range do not actually fall within the particular age range; and

the actual ages of one or more of the second sub-group of users having a predicted age within the particular age range do not actually fall within the particular age range.

4. The method of claim 2 wherein identifying a second sub-group of users having a predicted age within the particular age range based at least on the inferred age data for each of the second group of network users comprises, for each of the second group of network users:

determining a confidence level regarding whether that network user falls within the particular age range based at least on the inferred age data for that network user;

comparing the determined confidence level to a threshold confidence level; and

including that network user in the second sub-group of users if the determined confidence level exceeds the threshold confidence level.

5. The method of claim 2 wherein generating the marketing-related age range product for the particular age range includes combining the identified first sub-group of network users having an identified age within the particular age range with the identified second sub-group of network users having a predicted age within the particular age range.

6. The method of claim 1 wherein the first sub-group of network users at least partially overlaps with the second sub-group of network users.

7. The method of claim 1 wherein the first group of network users at least partially overlaps with the second group of network users.

8. The method of claim 1 wherein determining inferred age data for each of the second group of network users comprises, for each of the second group of network users, determining a probability of whether that network user falls within the particular age range, based at least on the user-activity data for the particular network user.

9. The method of claim 1 wherein the age-identifying data for at least some of the first group of network users is self-reported by the network users via the network.

10. The method of claim 1 further comprising receiving the age-identifying data for at least some of the first group of network users during an online user registration process for those network users.

11. An apparatus, comprising:

one or more processors;

one or more network interfaces;

a memory; and

computer-executable instructions carried on a computer readable medium, the instructions readable by the one or more processors, the instructions, when read and executed, for causing the one or more processors to;

receive age-identifying data identifying an age for each of a first group of network users, wherein the first group of network users includes users that have visited a particular online website and have entered the age-identifying data during online registration;

track network user usage information associated with the first group of network users including web browsing activity and duration of activity, user actions on a social network, interactions with other users, online purchasing, and online memberships of the user;

determine usage patterns in the network user usage information including browsing and transaction behavior;

format and store network user usage information and usage patterns as user-activity data;

access, over the Internet, user-activity data for a second group of network users, the user-activity data including data regarding the second group of network users'"'"' actions on the network, wherein the second group of network users includes users that have visited the particular online website and have entered false age-identifying data;

determine inferred age data for each of the second group of network users based at least on the user-activity data for each of the second group of network users;

select an age range by applying tiebreak rules to determine the age range with the highest determined confidence level from (a) the age-identifying data for the first group of network users and (b) the inferred age data for the second group of network users when the inferred age data and the age-identifying data do not match;

generate a marketing-related age range product for the particular age range based at least on the selected age range

determine, based on user identity information including a user IP address and an account identifier associated with a retrieval request, whether a particular user is currently online, wherein the user matches the selected age range and an advertiser-specified age range; and

transmit advertiser sponsored content based on the marketing-related age range product to the particular user while the particular user is online and subsequently accessing the particular online website.

12. The apparatus of claim 11, including computer-executable instructions for:

identifying a first sub-group of users having an identified age within the particular age range based at least on the age-identifying data for each of the first group of network users;

identifying a second sub-group of users having a predicted age within the particular age range based at least on the inferred age data for each of the second group of network users; and

generating the marketing-related age range product for the particular age range based at least on the identified first sub-group of network users and the identified second sub-group of network users.

13. The apparatus of claim 11 wherein generating the marketing-related age range product for the particular age range includes combining the identified first sub-group of network users having an identified age within the particular age range with the identified second sub-group of network users having a predicted age within the particular age range.

14. The apparatus of claim 11 wherein the first sub-group of network users at least partially overlaps with the second sub-group of network users.

15. The apparatus of claim 11 wherein determining inferred age data for each of the second group of network users comprises, for each of the second group of network users, determining a probability of whether that network user falls within the particular age range, based at least on the user-activity data for the particular network user.

16. An article of manufacture comprising:

a computer readable medium; and

computer-executable instructions carried on the computer readable medium, the instructions readable by a processor, the instructions, when read and executed, for causing the processor to;

receive, over the Internet, age-identifying data identifying an age for each of a first group of network users, wherein the first group of network users includes users that have visited a particular online website and have entered the age-identifying data during online registration;

track network user usage information associated with the first group of network users including web browsing activity and duration of activity, user actions on a social network, interactions with other users, online purchasing, and online memberships of the user;

determine usage patterns in the network user usage information including browsing and transaction behavior;

format and store network user usage information and usage patterns as user-activity data;

access, over the Internet, user-activity data for a second group of network users, the user-activity data including data regarding the second group of network users'"'"' actions on the network, wherein the second group of network users includes users that have visited the particular online website and have entered false age-identifying data;

determine inferred age data for each of the second group of network users based at least on the user-activity data for each of the second group of network users;

select an age range by apply[ing] tiebreak rules to determine the age range with the highest determined confidence level from (a) the age-identifying data for the first group of network users and (b) the inferred age data for the second group of network users when the inferred age data and the age-identifying data do not match;

generate a marketing-related age range product for the particular age range based at least on the selected age range

determine, based on user identity information including a user IP address and an account identifier associated with a retrieval request, whether a particular user is currently online, wherein the user matches the selected age range and an advertiser-specified age range; and

transmit advertiser sponsored content based on the marketing-related age range product to the particular user while the particular user is online and subsequently accessing the particular online website.

17. The article of manufacture of claim 16, including computer-executable instructions for:

identifying a first sub-group of users having an identified age within the particular age range based at least on the age-identifying data for each of the first group of network users;

identifying a second sub-group of users having a predicted age within the particular age range based at least on the inferred age data for each of the second group of network users; and

generating the marketing-related age range product for the particular age range based at least on the identified first sub-group of network users and the identified second sub-group of network users.

18. The article of manufacture of claim 16 wherein generating the marketing-related age range product for the particular age range includes combining the identified first sub-group of network users having an identified age within the particular age range with the identified second sub-group of network users having a predicted age within the particular age range.

19. The article of manufacture of claim 16 wherein the first sub-group of network users at least partially overlaps with the second sub-group of network users.

20. The article of manufacture of claim 16 wherein determining inferred age data for each of the second group of network users comprises, for each of the second group of network users, determining a probability of whether that network user falls within the particular age range, based at least on the user-activity data for the particular network user.