Methods, systems and mediums for scoring customers for marketing
First Claim
1. A method for scoring customers for marketing, comprising:
- collecting demographic data and transactional data for each of the customers;
summarizing at least one variable in the demographic data and/or the transactional data to form summary data, and attaching the summary data to each of the customers;
applying a statistical algorithm to the demographic data, the transactional data, and the summary data to create a model of a target variable related to customer activity and/or loyalty;
deriving a score for each of the customers from the model;
selecting at least some of the customers based on the score for each of the customers; and
marketing directly to the selected customers.
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Abstract
Methods, systems, and mediums for calculating a score that predicts customer activity in the future such as whether the customer will make a purchase, visit a store, etc., or how much money the customer will spend, how many times the customer will shop, etc., are provided. In certain embodiments, these methods and systems collect demographic data and transactional data for customers, summarize at least on variable in the demographic data and the transactional data and attach the summary data to each customer, apply a statistical algorithm to the demographic data, the transactional data, and the summary data to create a model of a target variable related to customer activity and/or loyalty, derive a score for each of the customers from the model, select some of the customers based on the scores, and market directly to the selected customers.
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Citations
84 Claims
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1. A method for scoring customers for marketing, comprising:
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collecting demographic data and transactional data for each of the customers;
summarizing at least one variable in the demographic data and/or the transactional data to form summary data, and attaching the summary data to each of the customers;
applying a statistical algorithm to the demographic data, the transactional data, and the summary data to create a model of a target variable related to customer activity and/or loyalty;
deriving a score for each of the customers from the model;
selecting at least some of the customers based on the score for each of the customers; and
marketing directly to the selected customers. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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29. A system for scoring customers for marketing, comprising:
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at least one database containing demographic data and transactional data for each of the customers;
a computer that;
receives from the at least one database the demographic data and the transactional data, summarizes at least one variable in the demographic data and/or the transactional data to form summary data, and attaches the summary data to each of the customers, applies a statistical algorithm to the demographic data, the transactional data, and the summary data to create a model of a target variable related to customer activity and/or loyalty, and derives a score for each of the customers from the model;
selects at least some of the customers based on the score for each of the customers; and
markets directly to the selected customers. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56)
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45. The system of claim 45, wherein the at least one group variable comprises the cluster code and the cluster code is one of ACXIOM'"'"'S PERSONICX, LOOKING GLASS'"'"' COHORTS, CLARITAS'"'"' PRISM, ESRI'"'"'S COMMUNITY, EXPERIAN'"'"'S MOSAIC, and MAPINFO'"'"'S PSYTE.
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57. A computer readable medium comprising instructions being executed by a computer, the instructions including a software application for scoring customers for marketing, the instructions for implementing the steps of:
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collecting demographic data and transactional data for each of the customers;
summarizing at least one variable in the demographic data and/or the transactional data to form summary data, and attaching the summary data to each of the customers;
applying a statistical algorithm to the demographic data, the transactional data, and the summary data to create a model of a target variable related to customer activity and/or loyalty;
deriving a score for each of the customers from the model;
selecting at least some of the customers based on the score for each of the customers; and
marketing directly to the selected customers. - View Dependent Claims (58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84)
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Specification