Method and apparatus for providing promotion recommendations

Abstract

The present disclosure relates to methods, systems, and apparatuses for providing promotion recommendations using a promotion and marketing service. Some aspects may provide a method for providing a promotion recommendation framework. The method includes receiving, via a network interface, a promotion recommendation inquiry from a component of a promotion and marketing service, the promotion recommendation inquiry including electronic identification data identifying at least one of a consumer or a consumer characteristic. The method also includes identifying, via processing circuitry, promotion transaction information associated with the electronic identification data. The promotion transaction information includes electronic data identifying at least one transaction performed using the promotion and marketing service. The method also includes determining, via the processing circuitry, at least one promotion recommendation based on the promotion transaction information, and providing, via the network interface, the at least one promotion recommendation in response to the promotion recommendation inquiry.

1 - 32 . (canceled) 
     
     
         33 . An apparatus, comprising one or more processors and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to:
 determine, using the one or more processors and based at least in part on a promotion recommendation inquiry associated with a consumer device, a relationship for a promotion cluster based at least in part on one or more correlation metrics related to promotions of the promotion cluster,   wherein the relationship for the promotion cluster represents a programmatically generated likelihood that the consumer device will initiate purchase of a first promotion of the promotion cluster in response to a respective purchase associated with both a second promotion and a third promotion of the promotion cluster being initiated via the consumer device;   generate, using the one or more processors, at least one promotion recommendation based at least in part on the relationship;   generate, using the one or more processors, an electronic marketing communication comprising the at least one promotion recommendation; and   transmit, using the one or more processors, the electronic marketing communication to the consumer device to facilitate rendering of data associated with the electronic marketing communication via an electronic interface of the consumer device.   
     
     
         34 . The system of  claim 33 , wherein the one or more storage devices store instructions that are operable, when executed by the one or more processors, to further cause the one or more processors to:
 determine the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated success rate associated with converting one or more consumer promotion engagement actions related to electronic marketing communications into purchases.   
     
     
         35 . The system of  claim 33 , wherein the one or more storage devices store instructions that are operable, when executed by the one or more processors, to further cause the one or more processors to:
 determine the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically determined strength of the relationship.   
     
     
         36 . The system of  claim 33 , wherein the one or more storage devices store instructions that are operable, when executed by the one or more processors, to further cause the one or more processors to:
 determine the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated likelihood that the consumer device will initiate purchase of the first promotion, the second promotion, and the third promotion by adding a fourth promotion to the promotion cluster.   
     
     
         37 . The system of  claim 33 , wherein the one or more storage devices store instructions that are operable, when executed by the one or more processors, to further cause the one or more processors to:
 determine the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated measurement of a number of purchases associated with the first promotion, the second promotion, and the third promotion.   
     
     
         38 . The system of  claim 33 , wherein the one or more storage devices store instructions that are operable, when executed by the one or more processors, to further cause the one or more processors to:
 select the one or more correlation metrics from a set of correlation metrics in response to the promotion recommendation inquiry.   
     
     
         39 . The system of  claim 33 , wherein the one or more storage devices store instructions that are operable, when executed by the one or more processors, to further cause the one or more processors to:
 receive the promotion recommendation inquiry in response to a request generated by the consumer device.   
     
     
         40 . The system of  claim 33 , wherein the one or more storage devices store instructions that are operable, when executed by the one or more processors, to further cause the one or more processors to:
 receive the promotion recommendation inquiry in response to a request generated by an application programming interface.   
     
     
         41 . A computer-implemented method, comprising:
 determining, by a computing device comprising a processor and based at least in part on a promotion recommendation inquiry associated with a consumer device, a relationship for a promotion cluster based at least in part on one or more correlation metrics related to promotions of the promotion cluster,   wherein the relationship for the promotion cluster represents a programmatically generated likelihood that the consumer device will initiate purchase of a first promotion of the promotion cluster in response to a respective purchase associated with both a second promotion and a third promotion of the promotion cluster being initiated via the consumer device;   generating, by the computing device, at least one promotion recommendation based at least in part on the relationship;   generating, by the computing device, an electronic marketing communication comprising the at least one promotion recommendation; and   transmitting, by the computing device, the electronic marketing communication to the consumer device to facilitate rendering of data associated with the electronic marketing communication via an electronic interface of the consumer device.   
     
     
         42 . The computer-implemented method of  claim 41 , wherein the determining the relationship for the promotion cluster comprises determining the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated success rate associated with converting one or more consumer promotion engagement actions related to electronic marketing communications into purchases. 
     
     
         43 . The computer-implemented method of  claim 41 , wherein the determining the relationship for the promotion cluster comprises determining the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically determined strength of the relationship. 
     
     
         44 . The computer-implemented method of  claim 41 , wherein the determining the relationship for the promotion cluster comprises determining the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated likelihood that the consumer device will initiate purchase of the first promotion, the second promotion, and the third promotion by adding a fourth promotion to the promotion cluster. 
     
     
         45 . The computer-implemented method of  claim 41 , wherein the determining the relationship for the promotion cluster comprises determining the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated measurement of a number of purchases associated with the first promotion, the second promotion, and the third promotion. 
     
     
         46 . The computer-implemented method of  claim 41 , further comprising:
 selecting, by the computing device, the one or more correlation metrics from a set of correlation metrics in response to the promotion recommendation inquiry.   
     
     
         47 . The computer-implemented method of  claim 41 , further comprising:
 receiving, by the computing device, the promotion recommendation inquiry in response to a request generated by the consumer device.   
     
     
         48 . The computer-implemented method of  claim 41 , further comprising:
 receiving, by the computing device, the promotion recommendation inquiry in response to a request generated by an application programming interface.   
     
     
         49 . A computer program product, stored on a computer readable medium, comprising instructions that when executed by one or more computers cause the one or more computers to:
 determine, using the one or more processors and based at least in part on a promotion recommendation inquiry associated with a consumer device, a relationship for a promotion cluster based at least in part on one or more correlation metrics related to promotions of the promotion cluster,   wherein the relationship for the promotion cluster represents a programmatically generated likelihood that the consumer device will initiate purchase of a first promotion of the promotion cluster in response to a respective purchase associated with both a second promotion and a third promotion of the promotion cluster being initiated via the consumer device;   generate, using the one or more processors, at least one promotion recommendation based at least in part on the relationship;   generate, using the one or more processors, an electronic marketing communication comprising the at least one promotion recommendation; and   transmit, using the one or more processors, the electronic marketing communication to the consumer device to facilitate rendering of data associated with the electronic marketing communication via an electronic interface of the consumer device.   
     
     
         50 . The computer program product of  claim 49 , further comprising instructions that when executed by the one or more computers cause the one or more computers to:
 determine the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated success rate associated with converting one or more consumer promotion engagement actions related to electronic marketing communications into purchases.   
     
     
         51 . The computer program product of  claim 49 , further comprising instructions that when executed by the one or more computers cause the one or more computers to:
 determine the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically determined strength of the relationship.   
     
     
         52 . The computer program product of  claim 49 , further comprising instructions that when executed by the one or more computers cause the one or more computers to:
 determine the relationship for the promotion cluster based at least in part on a correlation metric representing a programmatically generated likelihood that the consumer device will initiate purchase of the first promotion, the second promotion, and the third promotion by adding a fourth promotion to the promotion cluster.