SYSTEMS AND METHODS TO MATCH A REPRESENTATIVE WITH A COMMERCIAL PROPERTY BASED ON NEUROLOGICAL AND/OR PHYSIOLOGICAL RESPONSE DATA
Example methods, systems and tangible machine readable instructions to match a representative with a commercial property are disclosed herein. An example method for matching a representative with a commercial property includes comparing one or more of neurological or physiological response data from a panelist exposed to the property or a facsimile of the property to a plurality of representative attributes to determine a plurality of compatibility scores. Each of the representative attributes corresponds to a respective candidate representative. The example method also includes selecting the candidate representative having a highest one of the compatibility scores to represent the property.
1 . A method for matching a representative with a commercial property, the method comprising:
comparing one or more of neurological or physiological response data from a panelist exposed to the property or a facsimile of the property to a plurality of representative attributes to determine a plurality of compatibility scores, each of the representative attributes corresponding to a respective candidate representative; and
selecting the candidate representative having a highest one of the compatibility scores to represent the property.
2 . The method of claim 1 , wherein the property is at least one of a product, a brand, a logo, a jingle or an advertisement.
3 . The method of claim 1 , wherein the selected representative is at least one of a spokesperson, an event, a location, a network or a publication.
4 . The method of claim 1 , wherein the one or more of neurological or physiological response data includes one or more of fMRI data, EEG data, GSR data, MEG data, EOG data, EKG data, pupillary dilation data, eye tracking data, facial emotion encoding data or reaction time data.
5 . The method of claim 1 , wherein the one or more of neurological or physiological response data is indicative of one or more of alertness, engagement, attention or resonance.
6 . The method of claim 1 further comprising generating property attributes by combining the one or more of neurological or physiological response data with at least one of target demographic data, target ethnographic data, target psychographic data, target purchase data, target market performance data or target brand vision data.
7 . The method of claim 6 further comprising blending the property attributes with panelist attributes, wherein the panelist attributes include at least one of panelist demographic data, shopping preferences, entertainment preferences or financial data.
8 . The method of claim 6 further comprising:
comparing a first property attribute with a first representative attribute for a plurality of representatives to determine a first compatibility score for each representative;
comparing a second property attribute with a second representative attribute for the plurality of representatives to determine a second compatibility score for each representative;
determining a composite score from the first compatibility score and the second compatibility score for each representative; and
selecting the candidate representative having a highest one of the composite scores to represent the property.
9 . The method of claim 1 further comprising:
collecting one or more of post-election neurological or physiological response data associated with a medium in which the representative represents the property; and
determining an effectiveness of the representative in representing the property based on the one or more post-election neurological or physiological response data.
10 . The method of claim 9 , wherein the effectiveness is a function of one or more of alertness, engagement, attention or resonance as reflected by the one or more of post-election neurological or physiological response data.
11 . A system to match a representative with a commercial property, the system comprising:
an analyzer to compare one or more of neurological or physiological response data from a panelist exposed to the property or a facsimile of the property to a plurality of representative attributes to determine a plurality of compatibility scores, each of the representative attributes corresponding to respective candidate representative; and a selector to select the candidate representative having a highest one of the compatibility scores to represent the property.
12 . The system of claim 11 , wherein the property is at least one of a product, a brand, a logo, a jingle or an advertisement.
13 . The system of claim 11 , wherein the selected representative is at least one of a spokesperson, an event, a location, a network or a publication.
14 . The system of claim 11 , wherein the one or more neurological or physiological response data includes one or more of fMRI data, EEG data, GSR data, MEG data, EOG data, EKG data, pupillary dilation data, eye tracking data, facial emotion encoding data or reaction time data.
15 . The system of claim 11 , wherein the one or more of neurological or physiological response data is indicative of one or more of alertness, engagement, attention or resonance.
16 . The system of claim 11 further comprising a generator to generate property attributes by combining the one or more neurological or physiological response data with at least one of target demographic data, target ethnographic data, target psychographic data, target purchase data, target market performance data or target brand vision data.
17 . The system of claim 16 , wherein the generator is to blend the property attributes with panelist attributes, wherein the panelist attributes include at least one of panelist demographic data, shopping preferences, entertainment preferences or financial data.
18 . The system of claim 17 , wherein the analyzer is to compare a first property attribute with a first representative attribute for a plurality of representatives to determine a first compatibility score for each representative, to compare a second property attribute with a second representative attribute for the plurality of representatives to determine a second compatibility score for each representative, to determine a composite score from the first compatibility score and the second compatibility score for each representative, and the selector is to select the candidate representative having a highest one of the composite scores to represent the property.
19 . The system of claim 11 further comprising a sensor to collect one or more post-election neurological or physiological response data associated with a medium in which the representative represents the property, wherein the analyzer is to determine an effectiveness of the representative in representing the property based on the one or more post-election neurological or physiological response data.
20 . The system of claim 19 , wherein the effectiveness is a function of one or more of alertness, engagement, attention or resonance as reflected by the one or more post-election neurological or physiological response data.
21 . A tangible machine readable medium storing instructions thereon which, when executed, cause a machine to at least:
compare one or more of neurological or physiological response data from a panelist exposed to a commercial property or a facsimile of the property to a plurality of representative attributes to determine a plurality of compatibility scores, each of the representative attributes corresponding to a respective candidate representative to represent the property; and
select the candidate representative having a highest one of the compatibility scores to represent the property.
22 . The machine readable medium of claim 21 , wherein the property is at least one of a product, a brand, a logo, a jingle or an advertisement.
23 . The machine readable medium of claim 21 , wherein the selected representative is at least one of a spokesperson, an event, a location, a network or a publication.
24 . The machine readable medium of claim 21 , wherein the one or more of neurological or physiological response data includes one or more of fMRI data, EEG data, GSR data, MEG data, EOG data, EKG data, pupillary dilation data, eye tracking data, facial emotion encoding data or reaction time data.
25 . The machine readable medium of claim 21 , wherein the one or more of neurological or physiological response data is indicative of one or more of alertness, engagement, attention or resonance.
26 . The machine readable medium of claim 21 further causing a machine to generate property attributes by combining the one or more neurological or physiological response data with at least one of target demographic data, target ethnographic data, target psychographic data, target purchase data, target market performance data or target brand vision data.
27 . The machine readable medium of claim 26 further causing the machine to blend the property attributes with panelist attributes, wherein the panelist attributes include at least one of panelist demographic data, shopping preferences, entertainment preferences or financial data.
28 . The machine readable medium of claim 26 further causing the machine to:
compare a first property attribute with a first representative attribute for a plurality of representatives to determine a first compatibility score for each representative;
compare a second property attribute with a second representative attribute for the plurality of representatives to determine a second compatibility score for each representative;
determine a composite score from the first compatibility score and the second compatibility score for each representative; and
select the candidate representative having a highest one of the composite scores to represent the property.
29 . The machine readable medium of claim 21 further causing the machine to:
collect one or more post-election neurological or physiological response data associated with a medium in which the representative represents the property; and
determine an effectiveness of the representative in representing the property based on the one or more post-election neurological or physiological response data.
30 . The machine readable medium of claim 21 , wherein the effectiveness is a function of one or more of alertness, engagement, attention or resonance as reflected by the one or more post-election neurological or physiological response data.