ENGINE, SYSTEM AND METHOD FOR GENERATION OF BRAND AFFINITY CONTENT
An advertising engine, system and method of using is described. The engine includes at least one vault including a plurality of media assets, a recommendation engine that matches at least one media asset from the vault with at least one requested creative, a delivery engine that integrates the requested creative with the matched media assets from the vault, and a management engine that regulates and/or tracks ones of the at least one media asset.
1 . An advertising matching engine that provides an optimal match between an endorser and an advertised product, comprising:
a software vault comprising a plurality of medial assets, wherein at least a portion of the media assets are uniquely associated with each of a plurality of endorser candidates, and wherein ones of the plurality of endorser candidates have associated therewith a profile;
a buzz value engine comprising at least a plurality of software filters, a search engine, and a statistical baseline, wherein said buzz value engine indicates a buzz for ones of the plurality of endorser candidates as compared to the statistical baseline, pursuant to online information relating to the ones of the plurality of endorser candidates obtained by the search engine; and
a graphical user interface that, based on application of the software filters, indicates a match of at least one of the plurality of endorsers to the advertised product, in accordance with the profile of the matched one of the plurality of endorsers and the buzz, and that offers ones of the plurality of media assets correspondent to the matched one of the plurality of endorsers for use in the advertisement for the advertised product.
2 . The advertising matching engine of claim 1 , wherein the advertised product is an advertised service.
3 . The advertising matching engine of claim 1 , wherein the endorser comprises a brand.
4 . The advertising matching engine of claim 1 , wherein the endorser comprises a well known persona.
5 . The advertising matching engine of claim 1 , further comprising at least one server on which resides said software vault.
6 . The advertising matching engine of claim 1 , wherein the media assets comprise at least one of videos and still pictures.
7 . The advertising matching engine of claim 1 , wherein the media assets comprise audio.
8 . The advertising matching engine of claim 1 , wherein the profile comprises ones of the advertised product used by the endorser.
9 . The advertising matching engine of claim 1 , wherein the software filters comprise geographic filters.
10 . The advertising matching engine of claim 1 , wherein the software filters comprise type of persona filters.
11 . The advertising matching engine of claim 1 , wherein the software filters comprise level of buzz filters.
12 . The advertising matching engine of claim 1 , wherein the search engine comprises a web crawler.
13 . The advertising matching engine of claim 1 , wherein the statistical baseline comprises an average buzz of endorsers of a substantially similar type.
14 . The advertising matching engine of claim 1 , wherein said graphical user interface comprises a multi-column format having a plurality of hierarchical overlay menus.
15 . The advertising matching engine of claim 1 , wherein the ones of the media assets are accessible via a second order or higher one of the hierarchical overlay menus.
16 . The advertising matching engine of claim 1 , wherein the advertisement comprises a campaign comprising a subset of a plurality of campaigns, wherein others of the plurality of campaigns are accessible via said graphical user interface.
17 . The advertising matching engine of claim 1 , wherein the profile comprises likes and dislikes of the endorser.
18 . A method of determining buzz of an endorser for selection of the endorser for inclusion in an advertising campaign associated with an advertiser, comprising:
searching prospective ones of the endorsers over at least one network in accordance with associative information of the advertiser;
applying ones of a plurality of filters to limit the prospective ones of the endorsers to a subset of selectable ones of the endorsers;
normalizing the selectable ones of the endorsers in accordance with a network wide baseline from said searching;
determining the buzz of the selectable ones of the endorsers in relation to the network wide baseline; and
providing for selection of one of the selectable ones of the endorsers in accordance with the buzz.
19 . The method of claim 18 , wherein said searching comprises web crawling.
20 . The method of claim 18 , wherein the ones of the plurality of filters comprise geographic filters.