System, Method, Software and Data Structure for Independent Prediction of Attitudinal and Message Responsiveness, and Preferences For Communication Media, Channel, Timing, Frequency, and Sequences of Communications, Using an Integrated Data Repository
First Claim
1. A method for independently predicting attitudinal and message responsiveness for a selected population of a plurality of entities represented in a data repository, the method comprising:
- (a) for each entity of the plurality of entities of the selected population, appending from the data repository a corresponding predictive attitudinal classification of a plurality of predictive attitudinal classifications and a corresponding plurality of memberships in a plurality of predictive message content classifications, the plurality of predictive attitudinal classifications and the plurality of predictive message content classifications having been determined using a plurality of predictive attitudinal models developed from a sample population and applied to a reference population represented in the data repository;
(b) for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, determining a penetration index of the selected population compared to the reference population; and
(c) for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, independently determining at least one predominant predictive message content classification from the appended corresponding plurality of memberships in the plurality of predictive message content classifications of the plurality of entities of the selected population having the corresponding predictive attitudinal classification of the plurality of predictive attitudinal classifications.
2 Assignments
0 Petitions
Accused Products
Abstract
The present invention provides a system, method, software and data structure for independently predicting attitudinal and message responsiveness, using a plurality of attitudinal or other identification classifications and a plurality of message content or version classifications, for a selected population of a plurality of entities, such as individuals or households, represented in a data repository. The plurality of predictive attitudinal (or identification) classifications and plurality of predictive message content (ore version) classifications have been determined using a plurality of predictive models developed from a sample population and applied to a reference population represented in the data repository, such as attitudinal, behavioral, or demographic models. For each predictive attitudinal (or identification) classification, at least one predominant predictive message content or version classification is independently determined. The exemplary embodiments also provide, for each predictive attitudinal classification, corresponding information concerning predominant communication media (or channel) types, predominant communication timing, predominant communication frequency, and predominant communication sequencing.
16 Citations
47 Claims
-
1. A method for independently predicting attitudinal and message responsiveness for a selected population of a plurality of entities represented in a data repository, the method comprising:
-
(a) for each entity of the plurality of entities of the selected population, appending from the data repository a corresponding predictive attitudinal classification of a plurality of predictive attitudinal classifications and a corresponding plurality of memberships in a plurality of predictive message content classifications, the plurality of predictive attitudinal classifications and the plurality of predictive message content classifications having been determined using a plurality of predictive attitudinal models developed from a sample population and applied to a reference population represented in the data repository; (b) for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, determining a penetration index of the selected population compared to the reference population; and (c) for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, independently determining at least one predominant predictive message content classification from the appended corresponding plurality of memberships in the plurality of predictive message content classifications of the plurality of entities of the selected population having the corresponding predictive attitudinal classification of the plurality of predictive attitudinal classifications. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. A system for independently predicting attitudinal and message responsiveness for a selected population of a plurality of entities, the system comprising:
-
a data repository storing, for each entity of a plurality of entities forming a reference population, a corresponding predictive attitudinal classification of a plurality of predictive attitudinal classifications and a corresponding plurality of memberships in a plurality of predictive message content classifications, the plurality of predictive attitudinal classifications and the plurality of predictive message content classifications having been determined using a plurality of predictive attitudinal models developed from a sample population and applied to the reference population; and a processor coupled to the data repository, the processor configured to append from the data repository, for each entity of the plurality of entities of the selected population, the corresponding predictive attitudinal classification of the plurality of predictive attitudinal classifications and the corresponding plurality of memberships in the plurality of predictive message content classifications;
for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, to determine a penetration index of the selected population compared to the reference population; and
for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, to independently determine at least one predominant predictive message content classification from the appended corresponding plurality of memberships in the plurality of predictive message content classifications of the plurality of entities of the selected population having the corresponding predictive attitudinal classification of the plurality of predictive attitudinal classifications. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
-
-
35. A tangible medium storing computer readable software for independently predicting attitudinal and message responsiveness for a selected population of a plurality of entities represented in a data repository, the tangible medium storing computer readable software comprising:
-
a first program construct for appending from the data repository, for each entity of the plurality of entities of the selected population, a corresponding predictive attitudinal classification of a plurality of predictive attitudinal classifications and a corresponding plurality of memberships in a plurality of predictive message content classifications, the plurality of predictive attitudinal classifications and the plurality of predictive message content classifications having been determined using a plurality of predictive attitudinal models developed from a sample population and applied to a reference population represented in the data repository; a second program construct for determining, for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, a penetration index of the selected population compared to the reference population; and a third program construct for independently determining, for each predictive attitudinal classification of the plurality of predictive attitudinal classifications, at least one predominant predictive message content classification from the appended corresponding plurality of memberships in the plurality of predictive message content classifications of the plurality of entities of the selected population having the corresponding predictive attitudinal classification of the plurality of predictive attitudinal classifications. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47)
-
Specification