1. A computer-implemented method for automatically performing marketing actions, the method comprising: receiving consumer input relating to a marketable item from a service information display located at an outlet; receiving contextual input associated with the consumer input; placing the received consumer input and associated contextual input into one or more segmented data groups, wherein each segmented group includes consumers data and associated contextual data having similar characteristics, and wherein each segmented group has sufficient consumers data and associated contextual data to enable statistical analysis; computing for the marketable item, by at least one computing device, a projected marketing effectiveness corresponding to one or more pre-determined changes to respective one or more marketing attributes associated with the marketable item, where the one or more predetermined changes to the respective one or more marketing attributes define a marketing action specified in a rule associated with one of the one or more segmented groups; and automatically changing by the at least one computing device the one or more marketing attributes associated with the marketable item according to the marketing action specified in the rule when the projected effectiveness computed using the one or more predetermined changes specified in the rule is equal to or exceeds a corresponding pre-defined threshold specified in the rule that is compared to the computed projected effectiveness, and maintaining the one or more marketing attributes unchanged when the projected effectiveness computed using the one or more pre-determined changes specified in the rule is less than the corresponding pre-defined threshold specified in the rule that is compared to the computed projected effectiveness, wherein the marketing action corresponding to the one or more pre-determined changes to the respective one or more marketing attributes associated with the marketable item include one or more of: a change to inventory level associated with the marketable item, or a change to an amount of advertising presented in relation to the marketable item; wherein the method further comprises: determining for a particular segmented group from the one or more segmented data groups an average metric value, M, and a standard deviation value, S, for metric values associated with each of one or more data records in the particular segmented group; determining a new average metric, M′, according to M′=M+0.5S; determining a new standard deviation value, S′, based on the new average metric M′ and the metric values associated with each of the one or more data records in the particular segmented group; and segmenting the particular segmented group into at least two new segmented groups based, at least in part, on a determination that number of data records in the particular segmented group whose metric value is within S′ from the new average metric M′ exceeds a pre-determined group size threshold.
1. A computer-implemented method for automatically performing marketing actions, the method comprising: receiving consumer input relating to a marketable item from a service information display located at an outlet; receiving contextual input associated with the consumer input; placing the received consumer input and associated contextual input into one or more segmented data groups, wherein each segmented group includes consumers data and associated contextual data having similar characteristics, and wherein each segmented group has sufficient consumers data and associated contextual data to enable statistical analysis; computing for the marketable item, by at least one computing device, a projected marketing effectiveness corresponding to one or more pre-determined changes to respective one or more marketing attributes associated with the marketable item, where the one or more predetermined changes to the respective one or more marketing attributes define a marketing action specified in a rule associated with one of the one or more segmented groups; and automatically changing by the at least one computing device the one or more marketing attributes associated with the marketable item according to the marketing action specified in the rule when the projected effectiveness computed using the one or more predetermined changes specified in the rule is equal to or exceeds a corresponding pre-defined threshold specified in the rule that is compared to the computed projected effectiveness, and maintaining the one or more marketing attributes unchanged when the projected effectiveness computed using the one or more pre-determined changes specified in the rule is less than the corresponding pre-defined threshold specified in the rule that is compared to the computed projected effectiveness, wherein the marketing action corresponding to the one or more pre-determined changes to the respective one or more marketing attributes associated with the marketable item include one or more of: a change to inventory level associated with the marketable item, or a change to an amount of advertising presented in relation to the marketable item; wherein the method further comprises: determining for a particular segmented group from the one or more segmented data groups an average metric value, M, and a standard deviation value, S, for metric values associated with each of one or more data records in the particular segmented group; determining a new average metric, M′, according to M′=M+0.5S; determining a new standard deviation value, S′, based on the new average metric M′ and the metric values associated with each of the one or more data records in the particular segmented group; and segmenting the particular segmented group into at least two new segmented groups based, at least in part, on a determination that number of data records in the particular segmented group whose metric value is within S′ from the new average metric M′ exceeds a pre-determined group size threshold. 7. The method of claim 1 , wherein computing the projected effectiveness is based on historical data that relates past changes of marketing attributes of marketable items to corresponding resultant changes to historical marketing-related performance parameters for those marketable items.