Systems and methods for determining an agility rating indicating a responsiveness of an author to recommended aspects for future content, actions, or behavior

• US 10,242,380 B2
• Filed: 09/07/2015
• Issued: 03/26/2019
• Est. Priority Date: 08/28/2014
• Status: Active Grant

• Current Assignee: Vizit Labs Incorporated
• Original Assignee: Adhark, Inc.
• Inventors: Hamedi, Jehan
• Primary Examiner(s): Lu, Kuen S
• Application Number:
  US14/846,933
• Publication Number:
  US 20160078471A1
• Time in Patent Office: 1,296 Days
• Field of Search: 707772
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/1072 Discovery involving ranked list compilation of candidate peers

Abstract

A method includes determining a recommended aspect for future content, action, or behavior. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in a social network prior to receipt of the selection. The method also includes providing the recommended aspect for the future content, action, or behavior for a unique author in the social network. The method also includes determining whether the unique author posted the future content, action, or behavior with the recommended aspect in the at least one social network. The method also includes determining, based at least in part on the determination of whether the unique author posted the future content, action, or behavior with the recommended aspect, an agility rating that indicates a responsiveness of the unique author to the recommended aspect.

Claims

1. A system comprising:

a memory; and

a processor coupled to the memory, wherein the processor is configured to;

determine a goal;

determine a recommended aspect for future content to be posted by a first author, wherein;

the recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors not including the first author in at least one social network, website, application software, or mobile application software (app) prior to determination of the recommended aspect, and

the activity data is used to determine the recommended aspect such that the future content will help achieve the goal;

provide the recommended aspect for the future content for the first author in the at least one social network, website, application software, or mobile application software (app);

receive information corresponding to a user input related to the future content;

determine, before the first author posts the future content, an estimate of how the information corresponding to the user input will impact the goal if the first author posts the future content according to the information corresponding to the user input;

send, to a display, an indication of the estimate of how the information corresponding to the user input will impact the goal;

determine whether the first author posted the future content in accordance with the recommended aspect; and

determine, based at least in part on the determination of whether the first author posted the future content in accordance with the recommended aspect, an agility rating that quantifies the first author'"'"'s aptitude for posting the future content according to the recommended aspect, wherein the agility rating is further determined based at least on a predetermined number of a plurality of posted contents which were posted most recently relative to the determining of the agility rating.

2. The system of claim 1, wherein the agility rating is further determined based at least in part on a plurality of recommended future contents, wherein the plurality of future contents have all been posted a predetermined amount of time from a time at which the recommended aspect is determined.

3. The system of claim 1, wherein the recommended aspect is at least one of:

a social network, website, application software, or mobile application software (app) in which the future content is recommended to be authored,

a length that the future content is recommended to be,

a subject matter that the future content is recommended to be related to,

a type of content that the future content is recommended to be,

a tag that the future content is recommended to include,

an indication that the future content is recommended to be lifestyle content product content, branded content, user generated content, sales content, customer service content, event content, advertising or marketing content,

an indication whether to use paid advertising services on a social network, website, application software, or mobile application software (app) in which the future content is recommended to be authored,

an author to engage with the future content,

a universal resource indicator (URI) that the future content is recommended to include,

specific words, types of words, keywords, phrases, topics, hashtags, names or user mentions to include in the future content,

a characteristic of an image, the subject of the image, a scene in the image, or a background in the image to include in the future content, and

a channel or medium through which the future content is recommended to be implemented in.

4. The system of claim 1, wherein the processor is further configured to provide the indication of the estimate of how the information corresponding to the user input will impact the goal to at least one of a social media management system, a photo editing software, a design software, an e-mail or marketing automation software, an advertising platform software, a customer relationship manager (CRM) software, a content marketing software, a content management software, a social media marketing software or engagement software, a customer service software, a business intelligence and analytics software, a merchandise planning software, a brand management software, a data visualization software, a market research software, a partner relationship management software, a mobile marketing software, a mobile application, a productivity or workflow management software, a scheduling software, a web development software, or other enterprise resource planning software configured to optimize, schedule, or execute posts.

5. The system of claim 1, wherein the goal is a user specified goal.

6. The system of claim 1, wherein the processor is further configured to determine a second recommended aspect comprising a specific audience for whom the future content is tailored.

7. The system of claim 1, wherein the goal is to find an optimal audience for the future content.

8. The system of claim 1, wherein the recommended aspect is further determined from a plurality of recommended aspect options.

9. A method comprising:

determining, by a processor of a computing device, a goal;

determining, by the processor, a recommended aspect for future content to be posted by a first author, wherein;

the recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors not including the first author in at least one social network, website, application software, or mobile application software (app) prior to determination of the recommended aspect, and

the activity data is used to determine the recommended aspect such that the future content will help achieve the goal;

providing, by the processor, the recommended aspect for the future content for the first author in the at least one social network, website, application software, or mobile application software (app);

receiving, by the processor, information corresponding to a user input related to the future content;

determining, by the processor, before the first author posts the future content, an estimate of how the information corresponding to the user input will impact the goal if the first author posts the future content according to the information corresponding to the user input;

sending, by the processor to a display, an indication of the estimate of how the information corresponding to the user input will impact the goal;

determining, by the processor, whether the first author posted the future content in accordance with the recommended aspect; and

determining, by the processor based at least in part on the determination of whether the first author posted the future content in accordance with the recommended aspect, an agility rating that quantifies the first author'"'"'s aptitude for posting the future content according to the recommended aspect, wherein the agility rating is further determined based at least on a predetermined number of a plurality of posted contents which were posted most recently relative to the determining of the agility rating.

10. The method of claim 9, further comprising:

monitoring, by the processor, the agility rating of a plurality of users;

determining, by the processor, that a first agility rating of a first user has dropped below or grown above a second agility rating of an internal competitor user, external competitor user, peer user, or industry or predetermined benchmark; and

sending, by the processor, an alert message to a computing device of the first user indicating that the first user has passed or been passed in agility rating by the internal competitor user, external competitor user, peer user, or industry or predetermined benchmark.

11. The method of claim 9, further comprising:

monitoring, by the processor, the agility rating of a user;

determining, by the processor, that the agility rating has increased or decreased; and

sending, by the processor, an alert message to a computing device of the user indicating that the agility rating has increased or decreased.

12. The method of claim 9, wherein the agility rating is further determined at least in part based on responsiveness of an internal competitor user, external competitor user, or peer user to the recommended aspect, or industry or predetermined benchmark.

13. The method of claim 9, further comprising retrieving, by the processor, the activity data from web pages, a customer relationship manager (CRM) data, purchase activity, video data, advertising data, inventory or merchandise data, search data, in-store data, forum data, mobile or messaging account data with a web crawler or API.

14. The method of claim 9, further comprising ranking, by the processor, a plurality of agility ratings corresponding to a plurality of authors.

15. The method of claim 9, further comprising receiving, by the processor, a search criteria, wherein the search criteria specifies a subset of the plurality of authors in the at least one social network, website, application software, or mobile application software (app), wherein the activity data indicates only how the subset of the plurality of authors have responded to the other content.

16. The method of claim 9, wherein the agility rating is further determined at least in part by a fluctuation of content generated by the plurality of authors, wherein the fluctuation is a change in authored content by the plurality of authors occurring over a period of time and with respect to the future content.

17. The method of claim 9, further comprising determining, by the processor, before the first author posts the future content, how the agility rating will change if the first author posts the future content.

18. The method of claim 17, further comprising sending, by the processor, to the first author or an external competitor user, internal competitor user, peer user, or industry or predetermined benchmark of the first author a message indicating how the agility rating will change if the first author posts the future content.

19. The method of claim 9, wherein the recommended aspect is a time of day in which the future content is recommended to be posted.

20. The method of claim 9, wherein the agility rating is further determined based on an amount of time the first author took to post the future content from a point in time the recommended aspect was provided for the first author.

21. The method of claim 9, wherein the agility rating is further determined based on a failure of the first author to post the future content according to the recommended aspect, such that the agility rating is negatively impacted.

22. The method of claim 9, further comprising determining, by the processor, how the information corresponding to the user input can be changed to increase the estimate of how the information corresponding to the user input will impact the goal.

23. A non-transitory computer readable medium having instructions stored thereon that, upon execution by a computing device, cause the computing device to perform operations comprising:

determining a goal;

determining a recommended aspect for future content to be posted by a first author, wherein;

the recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors not including the first author in at least one social network, website, application software, or mobile application software (app) prior to determination of the recommended aspect, and

the activity data is used to determine the recommended aspect such that the future content will help achieve the goal;

providing the recommended aspect for the future content for the first author in the at least one social network, website, application software, or mobile application software (app);

receiving information corresponding to a user input related to the future content;

determining, before the first author posts the future content, an estimate of how the information corresponding to the user input will impact the goal if the first author posts the future content according to the information corresponding to the user input;

sending, to a display, an indication of the estimate of how the information corresponding to the user input will impact the goal;

determining whether the first author posted the future content in accordance with the recommended aspect; and

determining, based at least in part on the determination of whether the first author posted the future content in accordance with the recommended aspect, an agility rating that quantifies the first author'"'"'s aptitude for posting the future content according to the recommended aspect, wherein the agility rating is further determined based at least on a predetermined number of a plurality of posted contents which were posted most recently relative to the determining of the agility rating.

24. The non-transitory computer readable medium of claim 23, wherein the instructions further cause the computing device to perform operations comprising determining the estimate in real time as the future content is being authored.

25. The non-transitory computer readable medium of claim 23, wherein the recommended aspect is determined based on how the plurality of authors have responded to the other content in order to optimize a response of the plurality of authors to the future content.

26. The non-transitory computer readable medium of claim 23, wherein the other content was authored by the first author.

27. The non-transitory computer readable medium of claim 23, wherein the other content was authored by authors other than the first author.

28. The non-transitory computer readable medium of claim 23, wherein the other content was authored by a related author to the first author, and further wherein the related author and the first author represent competitors for a similar good or service.