Abstract: A computer-implemented method of predicting changes in market share comprises computing coefficients of a first statistical model corresponding with first market research survey data relating to rational and emotional drivers of consumer choice. Each coefficient represents a relative impact of an associated driver. Predicted changes in attributes of the target brand are computed based on the first statistical model, using second market research survey data relating to consumer response. A predicted efficacy measure is computed using the predicted changes in attributes of the target brand and current market share data. A modified efficacy measure is computed based on the predicted efficacy measure, a measure of communications media efficiency, a measure of consumer recognition, and a measure of consumer linkage to the target brand. The modified efficacy measure is used with financial factor data to compute one or more measures of commercial outcome from the marketing communications campaign.

Abstract: A computer-implemented method of predicting changes in market share comprises computing coefficients of a first statistical model corresponding with first market research survey data relating to rational and emotional drivers of consumer choice. Each coefficient represents a relative impact of an associated driver. Predicted changes in attributes of the target brand are computed based on the first statistical model, using second market research survey data relating to consumer response. A predicted efficacy measure is computed using the predicted changes in attributes of the target brand and current market share data. A modified efficacy measure is computed based on the predicted efficacy measure, a measure of communications media efficiency, a measure of consumer recognition, and a measure of consumer linkage to the target brand. The modified efficacy measure is used with financial factor data to compute one or more measures of commercial outcome from the marketing communications campaign.

Abstract: A method of measuring emotional response of at least one subject to a specific sensory stimulus comprises establishing (202) a plurality of basic emotions for measurement, including one or more positive affect emotions and one or more negative affect emotions. The subject is presented (302) with the specific sensory stimulus, and for each basic emotion is further presented (306) with a computer-generated display comprising interactive animated visual images representative of a metaphorical concept corresponding with the basic emotion. Input is then received (308) from the subject, who is enabled to adapt the animated visual images to accord with an emotional response to the sensory stimulus. The received input is converted to a corresponding quantitative emotional response value for each basic emotion.

Abstract: A method of measuring emotional response of at least one subject to a specific sensory stimulus comprises establishing (202) a plurality of basic emotions for measurement, including one or more positive affect emotions and one or more negative affect emotions. The subject is presented (302) with the specific sensory stimulus, and for each basic emotion is further presented (306) with a computer-generated display comprising interactive animated visual images representative of a metaphorical concept corresponding with the basic emotion. Input is then received (308) from the subject, who is enabled to adapt the animated visual images to accord with an emotional response to the sensory stimulus. The received input is converted to a corresponding quantitative emotional response value for each basic emotion.