Systems and methods for delivering tailored content based upon a consumer profile

• US 9,514,468 B2
• Filed: 06/05/2012
• Issued: 12/06/2016
• Est. Priority Date: 06/04/2012
• Status: Active Grant

• Current Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Original Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Inventors: Morgan, Robert E., Seth, Hitesh K.
• Primary Examiner(s): Brown, Alvin L
• Application Number:
  US13/489,274
• Publication Number:
  US 20130325625A1
• Time in Patent Office: 1,645 Days
• Field of Search: 705/14
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

The present disclosure includes a system, method, and article of manufacture for aggregating a consumer profile, identifying tailored content (e.g., in response to a trigger event and/or based upon a consumer profile), and/or tailoring a digital destination. For example, the systems may receive direct data indicating an interest in receiving specific content, aggregate that data into a consumer profile, compare the consumer profile to content, and/or identify tailored content based upon the comparison. Further, the systems may communicate the tailored content to a web client associated with a consumer, receive a transaction request from a web client, and/or receive bids associated with tailored content. In addition, these systems may prioritize tailored content comprising a plurality of tailored offers and/or forecast a budget for an upcoming experience.

Claims

1. A method comprising:

receiving, by a computer-based system configured for creating a consumer profile, direct data indicating an interest in receiving specific content and digital destination browsing information, wherein the direct data includes a cookie identification (ID);

collecting, by the computer-based system, indirect data to create collected indirect data;

determining, by the computer-based system, preferences associated with the direct data and the collected indirect data,

wherein the preferences are based on patterns associated with the direct data, the collected indirect data and the digital browsing information, and

wherein the preferences are based on at least one of threshold percentages or threshold amounts of consumer purchases associated with the preferences associated with a category;

determining, by the computer-based system, a digital destination associated with the preferences based on the digital destination browsing information;

parsing or indexing, by the computer-based system, the digital destination to identify more of the preferences;

deleting, by the computer-based system, at least a portion of private information from the direct data;

summarizing, by the computer-based system, at least a portion of the direct data to further protect the private information;

ranking, by the computer-based system, the preferences based on rules, spending associated with the preferences, consumer input of preferences, consumer input of a ranking or browsing frequency to the digital destination associated with the preferences;

weighting, by the computer-based system, the preferences based on the collected indirect data, the direct data and the consumer'"'"'s acceptance of a tailored offer delivered to the consumer, wherein the weighting indicates how strongly the consumer prefers content associated with the preferences,

wherein the weighting indicates how likely the consumer will accept the tailored offer related to the preferences, and

wherein the weighting indicates how likely the consumer will select content related to the preferences at the digital destination;

receiving, by the computer-based system, consumer input that certain data, transaction history, digital destinations, preferences and data from certain timeframes should not serve as a basis for the consumer profile;

aggregating, by the computer-based system, the consumer profile based upon the direct data, the collected indirect data, the interest, the digital destination browsing information based on the cookie ID, the ranking, the weighting, the consumer input, and the preferences;

storing, by the computer-based system, the consumer profile in a database;

including, by the computer-based system, a key field in the database to speed searches;

tuning, by the computer-based system, the database to optimize database performance,

wherein the tuning includes placing frequently used files on separate file systems to reduce in and out bottlenecks;

receiving, by the computer-based system, consumer tracking cookie information stored on a web client based on the cookie ID; and

transmitting, by the computer-based system and in response to receiving the consumer tracking cookie information, the consumer profile to a data partner system, wherein the data partner system compares content to the consumer profile and identifies tailored content based on the comparing.

2. The method of claim 1, further comprising receiving, by the computer-based system and from the data partner system, the tailored content.

3. The method of claim 2, further comprising communicating, by the computer-based system, the tailored content to a web client associated with the consumer.

4. The method of claim 3, further comprising receiving, by the computer-based system, a transaction request from a web client associated with the consumer.

5. The method of claim 4, further comprising receiving, by the computer-based system and from the data partner system, a bid associated with the tailored content.

6. The method of claim 5, wherein the tailored content comprises the tailored offer, and further comprising prioritizing, by the computer-based system, the tailored offer based upon a price associated with the tailored offer.

7. The method of claim 6, wherein the tailored content is associated with an experience, and forecasting, by the computer-based system, a budget for an upcoming experience based upon an amount spent by a consumer on a particular past experience.

8. A system comprising:

a processor configured for creating a consumer profile;

a tangible, non-transitory memory communicating with the processor;

the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising;

receiving, by the processor, direct data indicating an interest in receiving specific content and digital destination browsing information, wherein the direct data includes a cookie identification (ID);

collecting, by the processor, indirect data to create collected indirect data;

determining, by the processor, preferences associated with the direct data and the collected indirect data,

wherein the preferences are based on patterns associated with the direct data, the collected indirect data and the digital browsing information, and

wherein the preferences are based on at least one of threshold percentages or threshold amounts of consumer purchases associated with the preferences associated with a category;

determining, by the processor, a digital destination associated with the preferences based on the digital destination browsing information;

parsing or indexing, by the processor, the digital destination to identify more of the preferences;

deleting, by the processor, at least a portion of private information from the direct data;

summarizing, by the processor, at least a portion of the direct data to further protect the private information;

ranking, by the processor, the preferences based on rules, spending associated with the preferences, consumer input of preferences, consumer input of a ranking or browsing frequency to the digital destination associated with the preferences;

weighting, by the processor, the preferences based on the collected indirect data, the direct data and the consumer'"'"'s acceptance of a tailored offer delivered to the consumer,

wherein the weighting indicates how strongly the consumer prefers content associated with the preferences,

wherein the weighting indicates how likely the consumer will accept the tailored offer related to the preferences, and

wherein the weighting indicates how likely the consumer will select content related to the preferences at the digital destination;

receiving, by the processor, consumer input that certain data, transaction history, digital destinations, preferences and data from certain timeframes should not serve as a basis for the consumer profile;

aggregating, by the processor, the consumer profile based upon the direct data, the collected indirect data, the interest, the digital destination browsing information based on the cookie ID, the ranking, the weighting, the consumer input, and the preferences;

storing, by the processor, the consumer profile in a database;

including, by the processor, a key field in the database to speed searches;

tuning, by the processor, the database to optimize database performance,

wherein the tuning includes placing frequently used files on separate file systems to reduce in and out bottlenecks;

receiving, by the processor, consumer tracking cookie information stored on a web client based on the cookie ID; and

transmitting, by the processor and in response to receiving the consumer tracking cookie information, the consumer profile to a data partner system, wherein the data partner system compares content to the consumer profile and identifies tailored content based on the comparing.

9. The system of claim 8, further comprising receiving, by the processor and from the data partner system, the tailored content.

10. The system of claim 9, further comprising communicating, by the processor, the tailored content to a web client associated with the consumer.

11. The system of claim 10, further comprising receiving, by the processor, a transaction request from a web client associated with the consumer.

12. The system of claim 11, further comprising receiving, by the processor and from the data partner system, a bid associated with the tailored content.

13. The system of claim 12, wherein the tailored content comprises the tailored offer, and further comprising prioritizing, by the processor, the tailored offer based upon a price associated with the tailored offer.

14. The system of claim 13, wherein the tailored content is associated with an experience, and forecasting, by the processor, a budget for an upcoming experience based upon an amount spent by a consumer on a particular past experience.

15. An article of manufacture including a non-transitory, tangible computer readable storage medium having instructions stored thereon that, in response to execution by a computer-based system configured for creating a consumer profile, cause the computer-based system to perform operations comprising:

receiving, by the computer-based system, direct data indicating an interest in receiving specific content and digital destination browsing information, wherein the direct data includes a cookie identification (ID);

collecting, by the computer-based system, indirect data to create collected indirect data;

determining, by the computer-based system, preferences associated with the direct data and the collected indirect data,

wherein the preferences are based on patterns associated with the direct data, the collected indirect data and the digital browsing information, and

wherein the preferences are based on at least one of threshold percentages or threshold amounts of consumer purchases associated with the preferences associated with a category;

determining, by the computer-based system, a digital destination associated with the preferences based on the digital destination browsing information;

parsing or indexing, by the computer-based system, the digital destination to identify more of the preferences;

deleting, by the computer-based system, at least a portion of private information from the direct data;

summarizing, by the computer-based system, at least a portion of the direct data to further protect the private information;

ranking, by the computer-based system, the preferences based on rules, spending associated with the preferences, consumer input of preferences, consumer input of a ranking or browsing frequency to the digital destination associated with the preferences;

weighting, by the computer-based system, the preferences based on the collected indirect data, the direct data and the consumer'"'"'s acceptance of a tailored offer delivered to the consumer, wherein the weighting indicates how strongly the consumer prefers content associated with the preferences,

wherein the weighting indicates how likely the consumer will accept the tailored offer related to the preferences, and

wherein the weighting indicates how likely the consumer will select content related to the preferences at the digital destination;

receiving, by the computer-based system, consumer input that certain data, transaction history, digital destinations, preferences and data from certain timeframes should not serve as a basis for the consumer profile;

aggregating, by the computer-based system, the consumer profile based upon the direct data, the collected indirect data, the interest, the digital destination browsing information based on the cookie ID, the ranking, the weighting, the consumer input, and the preferences;

storing, by the computer-based system, the consumer profile in a database;

including, by the computer-based system, a key field in the database to speed searches;

tuning, by the computer-based system, the database to optimize database performance,

wherein the tuning includes placing frequently used files on separate file systems to reduce in and out bottlenecks;

receiving, by the computer-based system, consumer tracking cookie information stored on a web client based on the cookie ID; and

transmitting, by the computer-based system and in response to receiving the consumer tracking cookie information, the consumer profile to a data partner system, wherein the data partner system compares content to the consumer profile and identifies tailored content based on the comparing;

aggregating, by the computer-based system, the consumer profile based upon the direct data, the collected indirect data, the interest, the digital destination browsing information, the ranking, the weighting, the consumer input, and the preferences; and

transmitting, by the computer-based system, the consumer profile to a data partner system, wherein the data partner system compares content to the consumer profile and identifies tailored content based on the comparing.

16. The article of claim 15, further comprising receiving, by the computer-based system and from the data partner system, the tailored content.

17. The article of claim 16, further comprising communicating, by the computer-based system, the tailored content to a web client associated with the consumer.

18. The article of claim 17, further comprising receiving, by the computer-based system, a transaction request from a web client associated with the consumer.

19. The article of claim 18, further comprising receiving, by the computer-based system and from the data partner system, a bid associated with the tailored content.

20. The article of claim 19, wherein the tailored content comprises the tailored offer, and further comprising prioritizing, by the computer-based system, the tailored offer based upon a price associated with the tailored offer.