Intelligent Digital Media Content Creator Influence Assessment

1 . One or more computer-readable storage media encoding computer-executable instructions for executing on a computer system a computer process, the computer process comprising:

identifying digital media content items associated with at least one user-provided content descriptor;

sorting the identified digital media content items into different groups such that the digital media content items in each group are associated with a different one of a plurality of content creators;

calculating an influence score associated with each one of the plurality of content creators, the influence score based on consumer influence metrics quantifying user engagement with or user exposure to one or more digital media content items in the associated group;

identifying a subset of the plurality of content creators for which the calculated influence score satisfies a predetermined influence threshold; and

transmitting for presentation through a user interface the identified subset of content creators.

2 . The one or more computer-readable storage media of claim 1 ,

wherein the content descriptor is descriptive of a brand or product of interest and identifying the digital media content items associated with the content descriptor of interest further comprises:

receiving from a keyword suggestion tool a listing of entity descriptors associated in a database with the content descriptor;

presenting the listing of entity descriptors on a graphical user interface;

receiving a selected subset of the entity descriptors from the listing, the selected subset identified by a user as relevant to the brand or product of interest;

querying a database with the selected subset of the entity descriptors to identify digital media content items related to one or more entities of the selected subset.

3 . The one or more computer-readable media of claim 1 , wherein the consumer influence metrics include a traffic metric quantifying total views of all digital content items provided by a content creator.

4 . The one or more computer-readable media of claim 1 , wherein the consumer influence metrics include an asset metric that quantifies a fraction of total digital content assets provided by a content creator.

5 . The one or more computer-readable media of claim 1 , wherein the asset metric further quantifies a fraction of total digital content assets provided by the content creator that are also identified in association with the at least one user-provided content descriptor .

6 . The one or more computer-readable media of claim 1 , wherein the consumer influence metrics further include a user engagement metric that quantifies user engagement signals associated with a content creator or the content generated by that content creator.

7 . The one or more computer-readable media of claim 1 , wherein the consumer influence metrics further include an audience qualifier metric that further quantifies a number of subscribers to a channel or social media account associated with a content creator.

8 . The one or more computer-readable media of claim 7 , wherein the audience qualifier metric qualifies demographics of subscribers or followers of a particular digital content channel or social media account.

9 . The one or more computer-readable media of claim 1 , wherein the consumer metrics further include a production metric that quantifies frequency of digital content publications associated with a content creator.

10 . The one or more computer-readable media of claim 1 , wherein the predetermined influence threshold is indicative of a high degree of consumer influence.

11 . A system comprising:

memory;

at least one processor;

a market influence analysis engine stored in the memory and executable by the at least one processor to:

identify digital media content items associated with at least one user-provided content descriptor;

sort the identified digital media content items into different groups such that the digital media content items in each group are associated with a different one of a plurality of content creators;

calculate an influence score associated with each one of the plurality of content creators, the influence score based on consumer influence metrics quantifying user engagement with or user exposure to one or more digital media content items in the associated group;

identify a subset of the plurality of content creators for which the calculated influence score satisfies a predetermined influence threshold; and

transmit for presentation through a user interface the identified subset of content creators.

12 . The system of claim, 11 wherein the relevant digital content identifier is further executable to:

receive from a keyword suggestion tool a listing of entity descriptors associated in a database with the content descriptor;

present the listing of entity descriptors on a graphical user interface;

receive a selected subset of the entity descriptors from the listing, the selected subset identified by a user as relevant to the brand or product of interest; and

query a database with the selected subset of the entity descriptors to identify digital media content items related to one or more entities of the selected subset.

13 . The system of claim 11 , wherein the influence metrics include a traffic metric that quantifies total views of all digital content items provided by a content creator.

14 . The system of claim 11 , wherein the consumer influence metrics further include an asset metric that quantifies a fraction of total digital content assets provided by a content creator.

15 . The system of claim 11 , wherein the asset metric further quantifies a fraction of total digital content assets provided by the content creator that are also identified in association with the at least one user-provided content descriptor.

16 . The system of claim 11 , wherein the consumer influence metrics further include a user engagement metric that quantifies user engagement signals associated with a content creator or the digital media content items in an associated one of the identified groups.

17 . The system of claim 11 , wherein the consumer influence metrics further include an audience qualifier metric that quantifies a number of subscribers to a channel associated with a content creator.

18 . The system of claim 11 , wherein the audience qualifier metric qualifies demographics of subscribers to a particular digital content channel.

19 . The system of claim 11 , wherein the consumer metrics include a production metric that quantifies frequency of digital content publications associated a content creator.

20 . The system of claim 11 , wherein the consumer metrics include at least one metric quantifying nudity or vulgarity of the identified digital media content items provided by a content creator.

21 . One or more computer-readable storage media encoding computer-executable instructions for executing on a computer system a computer process, the computer process comprising:

identifying digital media content items associated with at least one user-provided content descriptor;

sorting the identified digital media content items into different groups such that the digital media content items in each group are associated with a different one of a plurality of content creators;

calculating an influence score associated with each one of the plurality of content creators, the influence score of each group based on consumer influence metrics quantifying user engagement with or user exposure to one or more digital media content items in the associated group; and

transmitting for presentation through a user interface information identifying a subset of the groups for which the calculated influence score satisfies a predetermined threshold.