SYSTEMS AND METHODS FOR PREDICTING USER ACTIVITY BASED ON HISTORICAL ACTIVITY INFORMATION
Technologies for identifying prospective marketing targets based on payment vehicle-based payment transactions processed over electronic payment networks are disclosed. Payment vehicle-based payment transactions are analyzed to determine historical purchase activity progressions. Consumer behavior can be mapped to a historical purchase activity progression so that future spend behavior of the consumer can be identified.
1 - 20 . (canceled)
21 . A computer-implemented method for predicting user activities, comprising:
receiving, by a server, activity information associated with a plurality of users from a plurality of terminals;
storing, in a database associated with the server, the activity information associated with the plurality of users;
processing, by the server and using a processor, the activity information to determine behavioral patterns and/or historical activities progression associated with at least one user, wherein the historical activities progression includes a series of activities performed by the at least one user within a predetermined time period;
mapping, by the server and using a communication circuitry, the behavioral patterns to the historical activities progression to predict one or more activities of the at least one user; and
automatically generating, by the server and using a display unit, an offer associated with the one or more predicted activities within the predetermined time period in a user interface of a device associated with the at least one user.
22 . The computer-implemented method of claim 21 , wherein the historical activities progression further includes a historical geographical parameter between each successive pair of the series of activities performed by the at least one user within the predetermined time period.
23 . The computer-implemented method of claim 21 , further comprising:
determining, by the server, a current activity progression for the at least one user, wherein the current activity progression identifies one or more completed activities from the series of activities performed by the at least one user, a current temporal factor between the one or more completed activities, and a current geographical parameter between the one or more completed activities.
24 . The computer-implemented method of claim 23 , wherein mapping the behavioral patterns to the historical activities progression, further comprises:
matching, by the processor, the one or more completed activities by the at least one user to a successive pair of the historical activities progression stored in the database.
25 . The computer-implemented method of claim 23 , wherein mapping the behavioral patterns to the historical activities progression, further comprises:
matching, by the processor, the current geographical parameter to a historical geographical parameter corresponding to successive pair of the historical activities progression stored in the database.
26 . The computer-implemented method of claim 23 , further comprising:
predicting, by the server, an occurrence of at least one of remaining series of activities pursuant to at least one in-progress activity upon satisfaction of at least one parameter, wherein the at least one parameter include a location within a geo-radius of the in-progress activity.
27 . The computer-implemented method of claim 21 , further comprising:
generating, by the server, a notification pertaining to the predicted activities in the user interface of the device associated with at least one service provider, wherein the at least one service provider performs one or more actions to influence the behavioral patterns of the at least one user pertaining to the predicted activities.
28 . The computer-implemented method of claim 21 , further comprising:
generating, by the server, a notification pertaining to the historical activities progression in the user interface of the device associated with at least one service provider, wherein the historical activities progression interface is a web portal configured to allow the at least one service provider to review the historical activities progression.
29 . The computer-implemented method of claim 21 , wherein each activity of the historical activity progression identifies at least one service provider.
30 . The computer-implemented method of claim 21 , further comprising:
determining, by the server, a progression to another activity by the at least one user does not map to the historical activities progression; and
storing, by the server, the activity information to another activity in the database.
31 . A system for predicting user activities, comprising:
one or more processors; and
at least one non-transitory computer readable medium storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving, by a server, activity information associated with a plurality of users from a plurality of terminals;
storing, in a database associated with the server, the activity information associated with the plurality of users;
processing, by the server and using a processor, the activity information to determine behavioral patterns and/or historical activities progression associated with at least one user, wherein the historical activities progression includes a series of activities performed by the at least one user within a predetermined time period;
mapping, by the server and using a communication circuitry, the behavioral patterns to the historical activities progression to predict one or more activities of the at least one user; and
automatically generating, by the server and using a display unit, an offer associated with the one or more predicted activities within the predetermined time period in a user interface of a device associated with the at least one user.
32 . The system of claim 31 , wherein the historical activities progression further includes a historical geographical parameter between each successive pair of the series of activities performed by the at least one user within the predetermined time period.
33 . The system of claim 31 , further comprising:
determining, by the server, a current activity progression for the at least one user, wherein the current activity progression identifies one or more completed activities from the series of activities performed by the at least one user, a current temporal factor between the one or more completed activities, and a current geographical parameter between the one or more completed activities.
34 . The system of claim 33 , wherein mapping the behavioral patterns to the historical activities progression, further comprises:
matching, by the processor, the one or more completed activities by the at least one user to a successive pair of the historical activities progression stored in the database.
35 . The system of claim 33 , wherein mapping the behavioral patterns to the historical activities progression, further comprises:
matching, by the processor, the current geographical parameter to a historical geographical parameter corresponding to successive pair of the historical activities progression stored in the database.
36 . The system of claim 33 , further comprising:
predicting, by the server, an occurrence of at least one of remaining series of activities pursuant to at least one in-progress activity upon satisfaction of at least one parameter, wherein the at least one parameter include a location within a geo-radius of the in-progress activity.
37 . The system of claim 31 , further comprising:
generating, by the server, a notification pertaining to the predicted activities in the user interface of the device associated with at least one service provider, wherein the at least one service provider performs one or more actions to influence the behavioral patterns of the at least one user pertaining to the predicted activities.
38 . A non-transitory computer readable medium for predicting user activities, the non-transitory computer readable medium storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising:
receiving, by a server, activity information associated with a plurality of users from a plurality of terminals;
storing, in a database associated with the server, the activity information associated with the plurality of users;
processing, by the server and using a processor, the activity information to determine behavioral patterns and/or historical activities progression associated with at least one user, wherein the historical activities progression includes a series of activities performed by the at least one user within a predetermined time period;
mapping, by the server and using a communication circuitry, the behavioral patterns to the historical activities progression to predict one or more activities of the at least one user; and
automatically generating, by the server and using a display unit, an offer associated with the one or more predicted activities within the predetermined time period in a user interface of a device associated with the at least one user.
39 . The non-transitory computer readable medium of claim 38 , further comprising:
determining, by the server, a current activity progression for the at least one user, wherein the current activity progression identifies one or more completed activities from the series of activities performed by the at least one user, a current temporal factor between the one or more completed activities, and a current geographical parameter between the one or more completed activities.
40 . The non-transitory computer readable medium of claim 39 , wherein mapping the behavioral patterns to the historical activities progression, further comprises:
matching, by the processor, the one or more completed activities by the at least one user to a successive pair of the historical activities progression stored in the database and/or the current geographical parameter to a historical geographical parameter corresponding to successive pair of the historical activities progression stored in the database.