Strategic profiling
First Claim
1. A computer-implemented method for strategic profiling behavior of a human consumer, comprising the steps of:
- collecting from the human consumer via a computer a first set of quantitative data reflecting an ideal of the human consumer, the first set of quantitative data based on a pre-defined, fixed number of standard, bi-polar characteristics generic to different markets, products, and services and an input selected by the human consumer out of a fixed, limited number of possible inputs for each characteristic, the input representing the intensity for each characteristic to the human consumer;
collecting from the human consumer via a computer a second set of quantitative data reflecting reality of the human consumer, the second set of quantitative data based on the same pre-defined, fixed number of standard, bi-polar characteristics that the first set of quantitative data is based on and an input selected by the human consumer out of a fixed, limited number of possible inputs for each characteristic, the input representing the intensity for each characteristic to the human consumer;
collecting from the human consumer via a computer a third set of quantitative data reflecting experience of the human consumer, the third set of quantitative data based on a pre-defined, fixed number of experience components specific to at least one of a market, product, and service and an input selected by the human consumer out of a fixed, limited number of possible inputs for each experience component, the input representing the importance for each experience component to the human consumer;
categorizing via a computer each of said collected data into a predetermined, constant, fixed number of factors accounting for individual differences in human consumer personality according to a multiple factor personality model for human behavior prediction;
analyzing via a computer said categorized data to determine an importance ranking of the factors in said multiple factor personality model based on the third set of quantitative data reflecting experience of the human consumer and the importance of each experience component to the human consumer; and
arranging via a computer said categorized data to represent the importance ranking of the factors in said multiple factor personality model and a profile of ideal and reality results for each of said ranked factors to strategically profile human consumer behavior.
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Abstract
A method and apparatus for understanding and predicting customer behavior called the Strategic Profiler is disclosed. In the Strategic Profiler, multiple participants input data representing ideals, reality, and experiences. The data are collected and analyzed using a multiple factor personality model to determine key value drivers, with one value driver associated with each factor in the multiple factor personality model employed. The data are further analyzed to determine the participants'"'"' impression of how closely reality meets the ideal, based both on impressions and experience. In a preferred embodiment, the Strategic Profiler is available to multiple users simultaneously through the World Wide Web.
108 Citations
18 Claims
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1. A computer-implemented method for strategic profiling behavior of a human consumer, comprising the steps of:
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collecting from the human consumer via a computer a first set of quantitative data reflecting an ideal of the human consumer, the first set of quantitative data based on a pre-defined, fixed number of standard, bi-polar characteristics generic to different markets, products, and services and an input selected by the human consumer out of a fixed, limited number of possible inputs for each characteristic, the input representing the intensity for each characteristic to the human consumer;
collecting from the human consumer via a computer a second set of quantitative data reflecting reality of the human consumer, the second set of quantitative data based on the same pre-defined, fixed number of standard, bi-polar characteristics that the first set of quantitative data is based on and an input selected by the human consumer out of a fixed, limited number of possible inputs for each characteristic, the input representing the intensity for each characteristic to the human consumer;
collecting from the human consumer via a computer a third set of quantitative data reflecting experience of the human consumer, the third set of quantitative data based on a pre-defined, fixed number of experience components specific to at least one of a market, product, and service and an input selected by the human consumer out of a fixed, limited number of possible inputs for each experience component, the input representing the importance for each experience component to the human consumer;
categorizing via a computer each of said collected data into a predetermined, constant, fixed number of factors accounting for individual differences in human consumer personality according to a multiple factor personality model for human behavior prediction;
analyzing via a computer said categorized data to determine an importance ranking of the factors in said multiple factor personality model based on the third set of quantitative data reflecting experience of the human consumer and the importance of each experience component to the human consumer; and
arranging via a computer said categorized data to represent the importance ranking of the factors in said multiple factor personality model and a profile of ideal and reality results for each of said ranked factors to strategically profile human consumer behavior. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer-implemented strategic profiler for strategic profiling behavior of a human consumer, comprising:
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means for collecting from the human consumer and storing a first set of quantitative data reflecting an ideal of the human consumer, the first set of quantitative data based on a pre-defined, fixed number of standard, bi-polar characteristics generic to different markets, products, and services and an input selected by the human consumer out of a fixed, limited number of possible inputs for each characteristic, the input representing the importance for each experience component to the human consumer;
means for collecting from the human consumer and storing a second set of quantitative data reflecting reality of the human consumer, the second set of quantitative data based on the same pre-defined, fixed number of standard, bi-polar characteristics that the first set of quantitative data is based on and an input selected by the human consumer out of a fixed, limited number of possible inputs for each characteristic, the input representing the importance for each experience component to the human consumer;
means for collecting from the human consumer and storing a third set of quantitative data reflecting experience of the human consumer, the third set of quantitative data based on a pre-defined, fixed number of experience components specific to at least one of a market, product, and service and an input selected by the human consumer out of a fixed, limited number of possible inputs for each experience component, the input representing the importance for each experience component to the human consumer;
means for categorizing each of said stored data into a predetermined, constant, fixed number of factors accounting for individual differences in human consumer personality according to a multiple factor personality model for human behavior prediction;
means for analyzing said categorized data to determine an importance ranking of the factors in said multiple factor personality model based on the third set of quantitative data reflecting experience of the human consumer and the importance of each experience component to the human consumer; and
means for arranging said categorized data to represent the importance ranking of the factors in said multiple factor personality model and a profile of ideal and reality results for each of said ranked factors to strategically profile human consumer behavior. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification