Abstract: A method includes generating a control set, based on input received via a user interface, the control set comprising at least a first product of a product category type. The method further includes generating a test set, based on input received via the user interface, the test set comprising at least a second product of the product category type other than the first product in the control set. The method further includes changing a feature of the second product in the test set, the feature being visible on a web page via the internet, while maintaining the feature of the first product in the control set. The method further includes measuring competitor or consumer responses to the changing. The method further includes generating a recommendation based on the measured competitor or consumer responses.

Abstract: A method includes generating a control set, based on input received via a user interface, the control set comprising at least a first product of a product category type. The method further includes generating a test set, based on input received via the user interface, the test set comprising at least a second product of the product category type other than the first product in the control set. The method further includes changing a feature of the second product in the test set, the feature being visible on a web page via the internet, while maintaining the feature of the first product in the control set. The method further includes measuring competitor or consumer responses to the changing. The method further includes generating a recommendation based on the measured competitor or consumer responses.

Abstract: Price for one or more products is optimized by considering competitor and/or consumer behavior relating to the products. A control set is generated to include one or more products. Also, a test set is generated to include one or more products of the same type as products in the control set. A feature of the products in the test set is changed while the feature of the products in the control set is maintained. Competitor and/or consumer response to the change is measured. Based on the response, a recommendation is generated with respect to the feature of the products in the test set. According to one implementation the recommendation may be a recommendation to lower the price of the products in the test set.

Abstract: Price for one or more products is optimized by considering competitor and/or consumer behavior relating to the products. A control set is generated to include one or more products. Also, a test set is generated to include one or more products of the same type as products in the control set. A feature of the products in the test set is changed while the feature of the products in the control set is maintained. Competitor and/or consumer response to the change is measured. Based on the response, a recommendation is generated with respect to the feature of the products in the test set. According to one implementation the recommendation may be a recommendation to lower the price of the products in the test set.