Modeling system and method to predict consumer response to a new or modified product

A method of generating a model to predict a consumer response, the method comprising:

• determining at least two attributes obtained for a sample product, the at least two attributes associated with a feeding experience of an animal;
• representing the at least two attributes as electronic data;
• determining a consumer response of the feeding experience based upon the consumer;
• representing the consumer response as electronic datum or data;
• linking the electronic data representing the at least two attributes with the electronic data representing the consumer response using a regression technique, wherein linking the electronic data is performed by a processor;
• generating a predictive model based upon the regression technique;
• observing an animal's behavior;
• inputting information associated with the animal's behavior into the predictive model to generate a response;
• and
• determining a consumer response of the feeding experience, independently of the consumer, as a function of the predictive model's response to the information associated with the animal's behavior.

A system, comprising:

• a processor;
• and
• a module comprising executable instructions that when executed by the processor cause the processor to receive at least two attributes obtained for a sample product, the at least two attributes are associated with a feeding experience of an animal;
• perform a regression analysis using the at least two attributes;
• generate a predictive model based upon the regression analysis;
• receive information associated with the animal's behavior;
• input the information associated with the animal's behavior into the predictive model to generate a response;
• and determine a consumer response of the feeding experience, independently of the consumer, as a function of the predictive model's response to the information associated with the animal's behavior.

A system, comprising:

• a processor;
• and
• a module comprising executable instructions that when executed by the processor cause the processor to receive at least two attributes associated with a feeding experience of an animal;
• determine a consumer response of the feeding experience based upon the consumer;
• link the at least two attributes with the consumer response using a regression technique;
• generate a predictive model based upon the regression technique;
• receive information associated with the animal's behavior;
• input information associated with the animal's behavior into the predictive model to generate a response;
• and determine a consumer response of the feeding experience, independently of the consumer, as a function of the predictive model's response to the information associated with the animal's behavior.