System and method for generating targeted communications having different content and with preferences for communication media, channel, timing, frequency, and sequences of communications, using an integrated data repository

• US 9,471,928 B2
• Filed: 11/29/2012
• Issued: 10/18/2016
• Est. Priority Date: 06/30/2004
• Status: Active Grant

• Current Assignee: Experian Marketing Solutions, LLC (Experian plc)
• Original Assignee: Experian Marketing Solutions Incorporated (Experian plc)
• Inventors: Fanelli, Marc Christian, Gormley, Patricia Kay, Kulle, Kymberly Ann, Nocerino, Thomas G., Sanyal, Kaushik
• Primary Examiner(s): Singh, Gurkanwaljit
• Application Number:
  US13/689,425
• Publication Number:
  US 20130339093A1
• Time in Patent Office: 1,419 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0204 Market segmentation

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.

Claims

1. A computing system-implemented method for automatically generating a plurality of communications to a selected population of a plurality of entities represented in one or more data repositories stored in one or more data storage devices, the method comprising:

using the computing system, retrieving from one or more data storage devices an identification of a selected population, represented in the one or more data repositories, to receive a plurality of communications;

using the computing system, retrieving from the one or more data storage devices an identification of a first group of individuals of the selected population comprising individuals having at least one core predictive identification classification, of a plurality of predictive identification classifications, having a comparatively greater penetration index and having a comparatively greater proportion of the selected population;

using the computing system, retrieving from the one or more data storage devices an identification of a second group of individuals of the selected population comprising individuals having at least one niche predictive identification classification, of the plurality of predictive identification classifications, having a comparatively greater penetration index and having a comparatively lesser proportion of a reference population;

using the computing system, retrieving from the one or more data storage devices an identification of a third group of individuals of the selected population comprising individuals having at least one growth predictive identification classification, of the plurality of predictive identification classifications, having a comparatively lesser penetration index and having a comparatively greater proportion of the reference population;

using the computing system, retrieving from the one or more data storage devices a plurality of message content versions;

using the computing system, retrieving from the one or more data storage devices, for each communication of the plurality of communications, a selected communication timing, of a plurality of potential communication timings, determined using at least one at least one predominant predictive communication timing classification of a plurality of predictive communication timing classifications;

using the computing system, automatically generating a plurality of first communications, of the plurality of communications, to the first group of individuals, the plurality of first communications having at least one first message content version of the plurality of message content versions, and for each communication of the plurality of first communications, automatically transmitting the communication electronically according to the selected communication timing for the selected individual of the first group of individuals;

using the computing system, automatically generating a plurality of second communications, of the plurality of communications, to the second group of individuals, the plurality of second communications having at least one second message content version of the plurality of message content versions, the second group of individuals different from the first group of individuals and the at least one second message content version different from the at least one first message content version, and for each communication of the plurality of second communications, automatically transmitting the communication electronically according to the selected communication timing for the selected individual of the second group of individuals; and

using the computing system, automatically generating a plurality of third communications, of the plurality of communications, to the third group of individuals, the plurality of third communications having at least one third message content version of the plurality of message content versions, the third group of individuals different from the first and second groups of individuals and the at least one third message content version different from the at least one first and at least one second message content versions, and for each communication of the plurality of third communications, automatically transmitting the communication electronically according to the selected communication timing for the selected individual of the third group of individuals.

2. The computing system-implemented method of claim 1, further comprising:

using the computing system, retrieving from the one or more data storage devices, for each communication of the plurality of communications, a selected communication medium, of a plurality of communication media, determined using at least one predominant predictive communication media classification of a plurality of predictive communication media classifications; and

using the computing system, for each communication of the plurality of communications, automatically generating the communication using the selected communication medium for the selected individual of the first, second and third groups of individuals.

3. The method of claim 2, wherein the plurality of predictive communication media classifications comprises at least two of the following:

electronic mail (email), telecommunication, radio, television, internet, satellite, cable media, video media, and combinations thereof.

4. The method of claim 2, wherein the plurality of predictive communication timing classifications comprises at least two of the following communication timing classifications:

any time, morning, afternoon, evening, night, weekday, weekend, and combinations thereof.

5. The computing system-implemented method of claim 1, further comprising:

using the computing system, retrieving from the one or more data storage devices, for each communication of the plurality of communications, a selected communication frequency, of a plurality of communication frequencies, determined using at least one at least one predominant predictive communication frequency classification of a plurality of predictive communication frequency classifications; and

using the computing system, for each communication of the plurality of communications, automatically generating the communication using the selected communication frequency for the selected individual of the first, second and third groups of individuals.

6. The method of claim 5, wherein the plurality of predictive communication frequency classifications comprises at least two of the following frequency classifications:

unlimited, none, daily, weekly, biweekly, monthly, semi-monthly, bimonthly, annually, semi-annually, and combinations thereof.

7. The computing system-implemented method of claim 1, further comprising:

using the computing system, retrieving from the one or more data storage devices, for each communication of the plurality of communications, a selected communication sequence, of a plurality of communication sequences, determined using at least one at least one predominant predictive communication sequencing classification of a plurality of predictive communication sequencing classifications; and

using the computing system, for each communication of the plurality of communications, automatically generating the communication using the selected communication sequence for the selected individual of the first, second and third groups of individuals.

8. The computing system-implemented method of claim 1, wherein the plurality of predictive identification classifications designate the plurality of entities according to a selected property derived from at least one of the following:

attitudinal characteristics, behavioral characteristics, demographic characteristics, geographic characteristics, financial characteristics, or transactional characteristics.

9. A computing system for automatically generating a plurality of communications to a selected population of a plurality of entities represented in a data repository, the system comprising:

one or more data storage devices storing one or more data repositories having, represented in the one or more data repositories, an identification of a selected population to receive a plurality of communications;

a plurality of message content versions;

an identification of a first group of individuals of the selected population comprising individuals having at least one core predictive identification classification, of a plurality of predictive identification classifications, having a comparatively greater penetration index and having a comparatively greater proportion of the selected population;

an identification of a second group of individuals of the selected population comprising individuals having at least one niche predictive identification classification, of the plurality of predictive identification classifications, having a comparatively greater penetration index and having a comparatively lesser proportion of a reference population;

and an identification of a third group of individuals of the selected population comprising individuals having at least one growth predictive identification classification, of the plurality of predictive identification classifications, having a comparatively lesser penetration index and having a comparatively greater proportion of the reference population; and

, for each communication of the plurality of communications, a selected communication timing, of a plurality of communication timings;

one or more processors coupled to the one or more data storage devices, the one or more processors adapted to automatically generate a plurality of first communications, of the plurality of communications, to the first group of, the plurality of first communications having at least one first message content version of the plurality of message content versions;

to automatically generate a plurality of second communications, of the plurality of communications, to the second group of individuals, the plurality of second communications having at least one second message content version of the plurality of message content versions, the second group of individuals different from the first group of individuals and the at least one second message content version different from the at least one first message content version; and

to automatically generate a plurality of third communications, of the plurality of communications, to the third group of individuals, the plurality of third communications having at least one third message content version of the plurality of message content versions, the third group of individuals different from the first and second groups of individuals and the at least one third message content version different from the at least one first and at least one second message content versions; and

one or more application servers coupled to the one or more processors and adapted to automatically transmit the communication electronically according to the selected communication timing, for each communication of the plurality of first communications, and for the selected individual of the first, second and third groups of individuals.

10. The computing system of claim 9, wherein the one or more processors are further adapted, for each communication of the plurality of communications, to automatically generate the communication using a selected communication medium, of a plurality of communication media, determined from at least one predominant predictive communication media classification of a plurality of predictive communication media classifications, for the selected individual of the first, second and third groups of individuals.

11. The computing system of claim 10, wherein the plurality of predictive communication media classifications are represented in the one or more data repositories stored in the one or more data storage devices and comprise at least two of the following:

electronic mail (email), telecommunication, radio, television, internet, satellite, cable media, video media, and combinations thereof.

12. The computing system of claim 9, wherein the selected communication timing is determined from at least one at least one predominant predictive communication timing classification of a plurality of predictive communication timing classifications, for the selected individual of the first, second and third groups of individuals.

13. The computing system of claim 12, wherein the plurality of predictive communication timing classifications are represented in the one or more data repositories stored in the one or more data storage devices and comprise at least two of the following communication timing classifications:

any time, morning, afternoon, evening, night, weekday, weekend, and combinations thereof.

14. The computing system of claim 9, wherein the one or more processors are further adapted, for each communication of the plurality of communications, to automatically generate the communication using a selected communication frequency, of a plurality of communication frequencies, determined from at least one at least one predominant predictive communication frequency classification of a plurality of predictive communication frequency classifications, for the selected individual of the first, second and third groups of individuals.

15. The computing system of claim 14, wherein the plurality of predictive communication frequency classifications are represented in the one or more data repositories stored in the one or more data storage devices and comprise at least two of the following frequency classifications:

unlimited, none, daily, weekly, biweekly, monthly, semi-monthly, bimonthly, annually, semi-annually, and combinations thereof.

16. The computing system of claim 9, wherein the one or more processors are further adapted, for each communication of the plurality of communications, to automatically generate the communication using a selected communication sequence, of a plurality of communication sequences represented in the one or more data repositories stored in the one or more data storage devices, the selected communication sequence determined from at least one at least one predominant predictive communication sequencing classification of a plurality of predictive communication sequencing classifications, for the selected individual of the first, second and third groups of individuals.

17. The computing system of claim 9, wherein the plurality of predictive identification classifications designate the plurality of entities according to a selected property derived from at least one of the following:

attitudinal characteristics, behavioral characteristics, demographic characteristics, geographic characteristics, financial characteristics, or transactional characteristics.