HIGH-PRECISION CUSTOMER-BASED TARGETING BY INDIVIDUAL USAGE STATISTICS
A system for distributing limited numbers of promotional offers targeted to individual customers based on the customers' individual probabilities of accepting the offers is disclosed. Each customer can receive a limited number of offers estimated to be most likely to be acceptable by the customer. Customer-Based targeting analyzes each customer's past purchasing behavior relative to a master list of promotional offers made available to all customers and selects a number of promotional offers most likely to be preferred by each customer. Various techniques, such as empirical Bayes techniques and sparse data handling techniques, are disclosed for providing an offer acceptance probability profile tailored for individual customers. Product groupings and market segments are taken into account. Various marketing strategies are incorporated into the system. An individual can override a system computation and manually set the relative offer acceptance probabilities for an individual user or class of users using a graphical technique.
1 . A method of determining a limited quantity of promotional offers from a plurality of promotional offers for a customer comprising:
providing, for each promotional offer included in a plurality of promotional offers, a measure of probability that a customer will accept the promotional offer;
associating with a customer record a limited quantity of promotional offers from the plurality of promotional offers based upon the measure of probability provided for each promotional offer included in the plurality of promotional offers;
determining that a redundancy exists between a first promotional offer and a second promotional offer, wherein each of the first and second promotional offers are included in the limited quantity of promotional offers; and
replacing at least one of the first and second promotional offers in the limited quantity of promotional offers with a third promotional offer selected from the plurality of promotional offers.
2 . The method of claim 1 , wherein the plurality of promotional offers includes promotional offers from one or more entities.
3 . The method of claim 1 , wherein the measure of probability is based upon personal data associated with the customer.
4 . The method of claim 3 , wherein personal data includes a purchasing history of the customer.
5 . The method of claim 1 , wherein the customer record is associated with one or more entities.
6 . The method of claim 1 , wherein replacing at least one of the first and second promotional offers comprises selecting the third promotional offer based upon the measure of probability that the customer will accept the third promotional offer.
7 . The method of claim 1 , wherein the determining and replacing operations are iteratively performed until no redundancy exists between promotional offers included in the limited quantity of promotional offers.
8 . The method of claim 1 , wherein the redundancy is based upon a product associated with a promotional offer.
9 . The method of claim 1 , wherein the redundancy is based upon a taxonomic category of a promotional offer.
10 . A method of determining a limited quantity of promotional offers from a plurality of promotional offers for a customer comprising:
obtaining a plurality of promotional offers, wherein the plurality of promotional offers includes promotional offers from a group of entities;
associating with a customer record a limited quantity of promotional offers from the plurality of promotional offers;
determining that a redundancy exists between a first promotional offer and a second promotional offer, wherein each of the first and second promotional offers are included in the limited quantity of promotional offers; and
replacing at least one of the first and second promotional offers in the limited quantity of promotional offers with a third promotional offer selected from the plurality of promotional offers.
11 . The method of claim 10 , wherein an entity is one of a manufacturer and a merchant.
12 . The method of claim 10 , wherein an entity is an individual.
13 . The method of claim 10 , wherein the group of entities includes one or more cooperating entities.
14 . The method of claim 10 , wherein the group of entities includes one or more autonomous entities.
15 . The method of claim 10 , wherein the customer record is associated with the group of entities by an identifier.
16 . The method of claim 10 , wherein associating with a customer record a limited quantity of promotional offers further comprises selecting a predetermined quantity of promotional offers associated with an entity.
17 . A method of determining a set of promotional offers from a plurality of promotional offers for a customer comprising:
selecting a customer record from a plurality of customer records, wherein the customer record is associated with one or more entities by an identifier;
associating with the customer record a set of promotional offers from a plurality of promotional offers, wherein a promotional offer is included in the set based upon a measure of probability that the customer will accept the promotional offer;
determining that a redundancy exists between a first promotional offer and a second promotional offer, wherein each of the first and second promotional offers are included in the set of promotional offers; and
replacing at least one of the first and second promotional offers in the set of promotional offers with a third promotional offer selected from the plurality of promotional offers.
18 . The method of claim 17 , wherein the identifier is unique to an entity.
19 . The method of claim 17 , wherein the identifier is unique to multiple entities.
20 . The method of claim 17 , wherein the identifier is associated with customer biometric data.