Abstract: This disclosure concerns methods of measuring lift in a marketing program that resides on a shopping device. The method includes identifying a test group as those shoppers who received a coupon for a unit on a shopping device based on at least one of a historical trait or a real time trait and identifying a control group as shoppers not using the shopping device that would have gotten the coupon for the unit based on at least one of a historical trait or a real time trait had they used the shopping device, wherein the control group and the test group shopped in the same timeframe in the same location of the same store and share the at least one historical trait or real time trait. The net incremental sales of units between the test and control groups is calculated.

Abstract: In one embodiment, a customer processor system is characterized via a remote client installed on the customer processor system. The remote client can collect, process and send characterization data about the customer processor system to a application server. The characterization data can then be used to make recommendations to or predictions about the customer. In some embodiments, other types of data can be used such as customer usage data and customer preference data for multiple customers.