Systems and methods for tailoring marketing

• US 10,181,126 B2
• Filed: 03/11/2013
• Issued: 01/15/2019
• Est. Priority Date: 03/13/2012
• 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: Fischer, Terrence, Korten, Carlos W., Walster, Marisa J.
• Primary Examiner(s): Wu, Rutao
• Assistant Examiner(s): Tsui, Alfred H
• Application Number:
  US13/794,301
• Publication Number:
  US 20130246146A1
• Time in Patent Office: 2,136 Days
• Field of Search: None
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06Q 20/209 Specified transaction journal output feature, e.g. printed receipt or voice output
• CPC Class Codes: G06Q 20/384 using social networks
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0222 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0236 Incentive or reward received by requiring registration or ID from user
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Claims

1. A method comprising:

obtaining, by a computer-based system and from a merchant server of a merchant, purchase transaction data from the merchant,

wherein the purchase transaction data is a result of a consumer conducting a purchase transaction with the merchant,

storing, by the computer-based system, data sets of the purchase transaction data in a database as ungrouped data elements formatted as a block of binary (BLOB) via a fixed memory offset;

partitioning, by the computer-based system and using a key field, the database according to a class of objects defined by the key field to speed searching for the purchase transaction data;

linking, by the computer-based system, data tables based on a type of data in the key field;

annotating, by the computer-based system, the data sets to include security information establishing access levels;

obtaining, by the computer-based system, the purchase transaction data from the database;

verifying, by the computer-based system, that the consumer conducted the purchase transaction based on the purchase transaction data at the merchant;

verifying, by the computer-based system, a consumer location of the consumer at a merchant location based on the purchase transaction data;

verifying, by the computer-based system, a web client location of a web client associated with the consumer based on global positioning data of the web client from a global positioning system;

determining, by the computer-based system, that the purchase transaction is verified to create a verified transaction, wherein the determining is based on the verifying the consumer conducting the purchase transaction with the merchant, the verifying the consumer location of the consumer at the merchant location and the verifying the web client location of the web client;

automatically conducting an original check-in, by the computer-based system, of the consumer with the merchant server in response to the consumer conducting the purchase transaction with the merchant and based on the consumer location of the consumer at the merchant location associated with the purchase transaction;

associating, by the computer-based system, criteria with the merchant;

obtaining, by the computer-based system, social data from a social media website about the merchant;

comparing, by the computer-based system and based on matching rules, the criteria with the social data from the social media website about the merchant to determine a social media association between the criteria for the merchant and the social data about the merchant;

determining, by the computer-based system, a consumer relevance value associated with a merchant based upon a consumer preference and a plurality of merchant to merchant similarity values;

providing, by the computer-based system, a higher ranking for the merchant based on the social media association and the consumer relevance value;

transmitting, by the computer-based system and based on the verified transaction and in response to the original check-in, a request for the consumer to write a review for the merchant; and

supplementing, by the computer-based system, the review with the higher ranking of the merchant and a notation that the review is based on the verified transaction.

2. The method of claim 1, further comprising offering, by the computer-based system, at least one of an online reward or an enhanced online reward to the consumer based on an original check-in of the consumer with a list of merchants.

3. The method of claim 1, wherein the original check-in includes automatically providing consumer access information to the merchant server.

4. The method of claim 1, wherein the original check-in first provides initial check-in data from the consumer to the merchant.

5. The method of claim 1, further comprising providing, by the computer-based system, the merchant to the consumer based upon a collaborative filtering algorithm.

6. The method of claim 1, wherein the original check-in of the consumer is further based upon at least one of internal data or external data.

7. The method of claim 1, further comprising automatically crediting, by the computer-based system, past check-ins to a database of the consumer, based on a purchase transaction history of the consumer.

8. The method of claim 1, further comprising providing, by the computer-based system, a first reward based upon a first list of merchants and a second reward based upon a second list of merchants.

9. The method of claim 1, further comprising sharing, by the computer-based system, information about the original check-in associated with the consumer with members of a social network of the consumer.

11. The method of claim 1, further comprising:

monitoring, by the computer-based system, real time transaction information associated with the consumer;

receiving, by the computer-based system, a request for a recommendation for a plurality of merchants from the web client;

adjusting, by the computer-based system, the consumer relevance value of the merchant based on the real time transaction information and in response to the request for the recommendation;

ranking, by the computer-based system, the plurality of merchants in a ranked list based on the real time transaction information; and

transmitting, by the computer-based system, the ranked list in real time and in response to the request for the recommendation.

12. The method of claim 1, wherein the merchant to merchant similarity value is based on pairings of merchants at least one of occurring most often or are most strongly correlated.

13. The method of claim 1, wherein the merchant to merchant similarity value is determined by comparing record of charges (ROCs) of a plurality of consumers at a plurality of merchants.

14. The method of claim 1, wherein the determining the consumer relevance value is further based upon an industry of the merchant, a consumer profile, a transaction history associated with the consumer, social data, demographic data, clickstream data, and consumer feedback data.

10. 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, cause the computer-based system to be capable of performing operations comprising:

obtaining, by the computer-based system and from a merchant server of a merchant, purchase transaction data from the merchant,

wherein the purchase transaction data is a result of a consumer conducting a purchase transaction with the merchant,

storing, by the computer-based system, data sets of the purchase transaction data in a database as ungrouped data elements formatted as a block of binary (BLOB) via a fixed memory offset;

partitioning, by the computer-based system and using a key field, the database according to a class of objects defined by the key field to speed searching for the purchase transaction data;

linking, by the computer-based system, data tables based on a type of data in the key field;

annotating, by the computer-based system, the data sets to include security information establishing access levels;

obtaining, by the computer-based system, the purchase transaction data from the database;

verifying, by the computer-based system, that the consumer conducted the purchase transaction based on the purchase transaction data at the merchant;

verifying, by the computer-based system, a consumer location of the consumer at a merchant location based on the purchase transaction data;

verifying, by the computer-based system, a web client location of a web client associated with the consumer based on global positioning data of the web client from a global positioning system;

determining, by the computer-based system, that the purchase transaction is verified to create a verified transaction, wherein the determining is based on the verifying the consumer conducting the purchase transaction with the merchant, the verifying the consumer location of the consumer at the merchant location and the verifying the web client location of the web client;

automatically conducting an original check-in, by the computer-based system, of the consumer with the merchant server in response to the consumer conducting the purchase transaction with the merchant and based on the consumer location of the consumer at the merchant location associated with the purchase transaction;

associating, by the computer-based system, criteria with the merchant;

obtaining, by the computer-based system, social data from a social media website about the merchant;

comparing, by the computer-based system and based on matching rules, the criteria with the social data from the social media website about the merchant to determine a social media association between the criteria for the merchant and the social data about the merchant;

determining, by the computer-based system, a consumer relevance value associated with a merchant based upon a consumer preference and a plurality of merchant to merchant similarity values;

providing, by the computer-based system, a higher ranking for the merchant based on the social media association and the consumer relevance value;

transmitting, by the computer-based system and based on the verified transaction and in response to the original check-in, a request for the consumer to write a review for the merchant; and

supplementing, by the computer-based system, the review with the higher ranking of the merchant and a notation that the review is based on the verified transaction.

15. The article of claim 10, further comprising:

providing, by the computer-based system and to the consumer, a first list of merchants and a second list of merchants;

offering, by the computer-based system, a first reward based upon the first list of merchants and a second reward based upon the second list of merchants; and

sharing, by the computer-based system, the original check-in information associated with the consumer with members of a social network of the consumer.

16. A system comprising:

a processor; and

a tangible, non-transitory memory configured to communicate with the processor,

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

obtaining, by the processor and from a merchant server of a merchant, purchase transaction data from the merchant,

wherein the purchase transaction data is a result of a consumer conducting a purchase transaction with the merchant,

storing, by the processor, data sets of the purchase transaction data in a database as ungrouped data elements formatted as a block of binary (BLOB) via a fixed memory offset;

partitioning, by the processor and using a key field, the database according to a class of objects defined by the key field to speed searching for the purchase transaction data;

linking, by the processor, data tables based on a type of data in the key field;

annotating, by the processor, the data sets to include security information establishing access levels;

obtaining, by the processor, the purchase transaction data from the database;

verifying, by the processor, that the consumer conducted the purchase transaction based on the purchase transaction data at the merchant;

verifying, by the processor, a consumer location of the consumer at a merchant location based on the purchase transaction data;

verifying, by the processor, a web client location of a web client associated with the consumer based on global positioning data of the web client from a global positioning system;

determining, by the processor, that the purchase transaction is verified to create a verified transaction, wherein the determining is based on the verifying the consumer conducting the purchase transaction with the merchant, the verifying the consumer location of the consumer at the merchant location and the verifying the web client location of the web client;

automatically conducting an original check-in, by the processor, of the consumer with the merchant server in response to the consumer conducting the purchase transaction with the merchant and based on the consumer location of the consumer at the merchant location associated with the purchase transaction;

associating, by the processor, criteria with the merchant;

obtaining, by the processor, social data from a social media website about the merchant;

comparing, by the processor and based on matching rules, the criteria with the social data from the social media website about the merchant to determine a social media association between the criteria for the merchant and the social data about the merchant;

determining, by the processor, a consumer relevance value associated with a merchant based upon a consumer preference and a plurality of merchant to merchant similarity values;

providing, by the processor, a higher ranking for the merchant based on the social media association and the consumer relevance value;

transmitting, by the processor and based on the verified transaction and in response to the original check-in, a request for the consumer to write a review for the merchant; and

supplementing, by the processor, the review with the higher ranking of the merchant and a notation that the review is based on the verified transaction.

17. The system of claim 16, further comprising offering, by the processor, at least one of an online reward or an enhanced reward to the consumer based on an original check-in of the consumer with a list of merchants.

18. The system of claim 16, wherein the original check-in includes automatically providing consumer access information to the merchant server.

19. The system of claim 16, wherein the original check-in first provides initial check-in data from the consumer to the merchant.

20. The system of claim 16, further comprising providing, by the processor, the merchant to the consumer based upon a collaborative filtering algorithm.

21. The system of claim 16, wherein the original check-in of the consumer is further based upon at least one of internal data or external data.

22. The system of claim 16, further comprising:

providing, by the processor and to the consumer , a first list of merchants and a second list of merchants;

offering, by the processor, a first reward based upon the first list of merchants and a second reward based upon the second list of merchants; and

sharing, by the processor, information about the original check-in associated with the consumer with members of a social network of the consumer.