SYSTEMS AND METHODS TO GENERATE COUPON OFFERINGS TO IDENTIFIED CUSTOMERS

1 . A retail product coupon offer distribution system, comprising:

a customer profile database comprising customer profiles of multiple customers, wherein each customer profile is associated with one of the multiple customers and comprises a set of customer partiality vectors having a magnitude that corresponds to a determined magnitude of a strength of the belief, by the respective customer, in an amount of good that comes from an amount of order imposed upon material space-time by a corresponding particular partiality;

a product profile database comprising product profiles each corresponding to one of multiple products and comprising a set of product partiality vectors having a magnitude that represents a reduction of exerted effort associated with the corresponding product to pursue a corresponding partiality; and

a product management control circuit communicatively coupled with the customer profile database, and the product profile database, and configured to apply alignment rules from a rules database to: identify a set of customers of the multiple customers that each have associated a customer partiality vector that has a threshold alignment with at least one product partiality vector of the set of product partiality vectors associated with a first product; and for each customer of the set of customers, customize a coupon offer relative to the first product that is distinct for each customer of the set of customers based on the at least one product partiality vector associated with the respective customer and the first product, wherein the product management control circuit is configured to communicate over a distributed communications network the customized coupon offer to be received through a respective customer computing device.

2 . The system of claim 1 , wherein the product management control circuit, in customizing the coupon offers for each customer, is configured to emphasize to the corresponding customer the correlation between the customer partiality vector associated with the customer and the product partiality vector.

3 . The system of claim 1 , wherein the product management control circuit, in identifying the set of customers, is configured to identify the set of customers that are expected, based on the threshold alignment between the customer partiality vector and the product partiality vector, to change future purchasing behavior and make a subsequent purchase of the first product without the coupon offer.

4 . The system of claim 3 , wherein the product management control circuit, in identifying the set of customers that are expected to change future purchasing behavior is configured to identify the set of customers that each have associated with that customer multiple customer partiality vectors that each have a respective threshold alignment with at least one of the multiple product partiality vectors of the set of partiality vectors associated with the first product.

5 . The system of claim 1 , wherein the product management control circuit is configured to identify a second set of customers that have at least one customer partiality vector that has the threshold alignment with at least one of the set of partiality vectors associated with the first product, that are predicted to use a coupon offer to purchase the first product, and that are not expected to change future purchasing behavior and make a subsequent purchase of the first product without the coupon offer; and prevent customizing coupon offers of the first product for the second set of customers.

6 . The system of claim 5 , wherein the product management control circuit in identifying the second set of customers is configured to identify the second set of customers based on each of the second set of customers being associated with at least one customer partiality vector with a corresponding threshold magnitude that contradicts at least on product partiality vector associated with the first product.

7 . The system of claim 1 , wherein the product management control circuit in customizing the coupon offers is configured to emphasize, for each of multiple different customers of the set of customers, at least a different one of multiple different characteristics of the first product that has the threshold alignment with the customer partiality vector.

8 . The system of claim 1 , wherein the product management control circuit is configured to identify a second set of customers that each have at least one customer partiality vector having an enhanced threshold alignment with a second set of at least of the one product partiality vectors, and who are expected to change future purchasing behavior and make a subsequent purchase of the first product without the coupon offer; and to cause product information regarding the first product and emphasizing the correlation between the second set of partiality vectors and the corresponding product partiality vector to be communicated to the respective second set of customers without a customized coupon offer.

9 . A method of distributing retail product coupons, comprising:

accessing a customer profile database comprising customer profiles of multiple customers, wherein each customer profile is associated with one of the customer comprises a set of customer partiality vectors having a magnitude that corresponds to a determined magnitude of a strength of the belief, by the customer, in an amount of good that comes from an amount of order imposed upon material space-time by a corresponding particular partiality;

accessing a product profile database comprising product profiles each corresponding to one of multiple products and comprising a set of product partiality vectors having a magnitude that represents a reduction of exerted effort associated with the corresponding product to pursue a corresponding partiality;

identifying, based on alignment rules, a set of customers of the multiple customers that each have associated a customer partiality vector that has a threshold alignment with at least one product partiality vector of the set of partiality vectors associated with a first product;

customizing, for each customer of the set of customers and based on the alignment rules, a coupon offer relative to the first product that is distinct for each customer of the set of customers based on the at least one product partiality vector associated with the respective customer and the first product; and

causing each of the customized coupon offers to be communicated over a distributed communications network to be received through a customer computing device.

10 . The method of claim 9 , wherein the customizing the coupon offers for each customer comprises emphasizing to the corresponding customer the correlation between the customer partiality vector associated with the customer and the product partiality vector.

11 . The method of claim 9 , wherein the identifying the set of customers comprises identifying the set of customers that are expected, based on the threshold alignment between the customer partiality vector and the product partiality vector, to change future purchasing behavior and make a subsequent purchase of the first product without the coupon offer.

12 . The method of claim 11 , wherein the identifying the set of customers that are expected to change future purchasing behavior comprises identifying the set of customers that each have associated with that customer multiple customer partiality vectors that each have a respective threshold alignment with at least one of the multiple product partiality vectors of the set of partiality vectors associated with the first product.

13 . The method of claim 9 , further comprising:

identifying a second set of customers that have at least one customer partiality vector that has the threshold alignment with at least one of the set of partiality vectors associated with the first product, that are predicted to use a coupon offer to purchase the first product, and that are not expected to change future purchasing behavior and make a subsequent purchase of the first product without the coupon offer; and

preventing customizing coupon offers of the first product for the second set of customers.

14 . The method of claim 13 , wherein the identifying the second set of customers comprises identifying the second set of customers based on each of the second set of customers being associated with at least one customer partiality vector with a corresponding threshold magnitude that contradicts at least on product partiality vector associated with the first product.

15 . The method of claim 9 , wherein the customizing the coupon offers comprises emphasizing, for each of multiple different customers of the set of customers, at least a different one of multiple different characteristics of the first product that has the threshold alignment with the customer partiality vector.

16 . The method of claim 9 , further comprising:

identifying a second set of customers that each have at least one customer partiality vector having an enhanced threshold alignment with a second set of at least of the one product partiality vectors, and who are expected to change future purchasing behavior and make a subsequent purchase of the first product without the coupon offer; and

causing product information regarding the first product and emphasizing the correlation between the second set of partiality vectors and the corresponding product partiality vector to be communicated to the respective second set of customers without a customized coupon offer.