Abstract: Methods, systems and devices for evaluating a product sampling event. The disclosed methods, systems and devices receive from a user a user identification specific to the user and compare the user identification to a user data set stored on a computer-readable medium. A sample is then delivered based on a predetermined condition, and a product value is changed after the step of causing delivery of the sample of the product. It can then be determined whether the user purchased the product after delivery of the sample of the product and, based on that determination, a sampling event value can be assigned. The user's preferences can also be used to provide a more custom sample with a user's order for example, with online or home delivery shopping.

Abstract: Methods, systems and devices for evaluating a product sampling event. The disclosed methods, systems and devices receive from a user a user identification specific to the user and compare the user identification to a user data set stored on a computer-readable medium. A sample is then delivered based on a predetermined condition, and a product value is changed after the step of causing delivery of the sample of the product. It can then be determined whether the user purchased the product after delivery of the sample of the product and, based on that determination, a sampling event value can be assigned. The user's preferences can also be used to provide a more custom sample with a user's order for example, with online or home delivery shopping.

Abstract: Methods, systems and devices for evaluating a product sampling event. The disclosed methods, systems and devices receive from a user a user identification specific to the user and compare the user identification to a user data set stored on a computer-readable medium. A sample is then delivered based on a predetermined condition, and a product value is changed after the step of causing delivery of the sample of the product. It can then be determined whether the user purchased the product after delivery of the sample of the product and, based on that determination, a sampling event value can be assigned. The user's preferences can also be used to provide a more custom sample with a user's order for example, with online or home delivery shopping.

Abstract: Methods, systems and devices for evaluating a product sampling event. The disclosed methods, systems and devices receive from a user a user identification specific to the user and compare the user identification to a user data set stored on a computer-readable medium. A sample is then delivered based on a predetermined condition, and a product value is changed after the step of causing delivery of the sample of the product. It can then be determined whether the user purchased the product after delivery of the sample of the product and, based on that determination, a sampling event value can be assigned.

Abstract: There is disclosed herein an improved method for measuring the effectiveness of a sampling event, particularly correlating a product sampling event with the consumer's purchase of a corresponding purchasable product. Preferably, a product sample terminal is employed to identify a consumer, dispense a product sample to the consumer, store data pertaining to the product sampling event, and correlate the consumer's purchase of a corresponding or complimentary product for determining whether the product sampling event converted the event into the consumer's purchasing decisions. Additionally disclosed is a method for soliciting, aggregating, and processing consumer preferences pertaining to product attributes for informing investment decisions with regard to product development.