Apparatus, System and Method for a Brand Affinity Engine Using Normalized Media Ratings
An apparatus, system and method of implementing a computerized brand affinity engine. The apparatus, system and method include at least a plurality of computerized access points having accessible thereto a plurality of sites mentioning at least one sponsor, a categorized, hierarchical database of keywords, wherein at least the keywords falling in at least one category of the hierarchy correspond to a sponsor category of the at least one sponsor, and a tracker, wherein the tracker tracks positive ones of the mentions of the at least one sponsor on ones of the plurality of sites and negative ones of the mentions of the at least one sponsor on ones of the plurality of sites, in accordance with positive and negative keywords of the categorized, hierarchical database in the sponsor category, and wherein the tracker issues an rating with regard to the at least one sponsor in accordance with the positive ones and the negative ones of the mentions. An assessment of optimal sponsors for particular markets and/or in particular geographies that additionally increases sponsorship opportunities in particular markets and/or in particular geographies is thereby provided.
1 . A computer-implemented brand affinity engine, comprising:
a plurality of endorsers, each associated with at least one rating value, wherein said rating value is derived from positive ones of mentions and negative ones of mentions of each of the endorsers assessed at least one of the plurality of computerized access points having accessible thereto a plurality of sites mentioning the endorsers;
a categorized, hierarchical database having at least one target rating value, wherein the at least one target rating value corresponds to the highest rating value associated with one of the endorsers; and
wherein the plurality of endorsers are normalized with respect to the one target rating value within the categorized, hierarchical database.
2 . The computer-implemented brand affinity engine of claim 1 , wherein said positive ones of the mentions and the negative ones of the mentions are limited geographically, and wherein the target rating includes a geographical based rating.
3 . The computer-implemented brand affinity engine of claim 1 , wherein the target rating includes at least one product based rating.
4 . The computer-implemented brand affinity engine of claim 3 , wherein the target rating includes a strength of a sponsor.
5 . The computer-implemented brand affinity engine of claim 1 , wherein at least one of the mentions has associated therewith a strength of reference rating.
6 . The computer-implemented brand affinity engine of claim 1 , wherein each of the positive mentions are assigned the rating from 1 to 10.
7 . The computer-implemented brand affinity engine of claim 1 , wherein each of the negative mentions are assigned the rating from −1 to −10.
8 . The computer-implemented brand affinity engine of claim 1 , wherein each of the positive mentions are assigned the rating from 1 to 10, and wherein said target rating is summed to an accumulated positive rating.
9 . The computer-implemented brand affinity engine of claim 1 , wherein each of the negative mentions are assigned the rating from −1 to −10, and wherein said target rating is summed to an accumulated negative rating.
10 . The computer-implemented brand affinity engine of claim 1 , wherein the at least one target rating value is 100.
11 . The computer-implemented brand affinity engine of claim 1 , wherein at least one of the plurality of endorsers is further associated with at least one achievement rating.
12 . The computer-implemented brand affinity engine of claim 13 , wherein the at least one achievement rating has a value of approximately 10.