Systems and Methods for the Assessment of Vertical Goodwill in Social Media Performance

• US 20140236673A1
• Filed: 05/08/2014
• Published: 08/21/2014
• Est. Priority Date: 11/19/2013
• Status: Abandoned Application

• Current Assignee: Share Rocket, Inc. (Nexstar Media Group, Inc.)
• Original Assignee: Share Rocket, Inc. (Nexstar Media Group, Inc.)
• Inventors: Smith, Scott H., Kracht, Christopher E., Flaxman, David, Ostman, Michael, Lazuka, Blair
• Application Number:
  US14/273,007
• Publication Number:
  US 20140236673A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06F 16/447 Temporal browsing, e.g. timeline
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Described herein are systems and methods for analyzing social media data, assessing various aspects of social media performance, comparing the social media performance of a plurality of entities within a peer group, and displaying useful information to a user in a comprehensive and/or intuitive fashion. The social media performance assessment information pertaining to an asset may take into account the social media performance of a related entity and/or another asset belonging to a different hierarchical tier of a peer group, organization, or industry. A peer group, and its hierarchical tiers, may be customized or dynamically defined such that the user may specify the influence one asset'"'"'s social media performance may have on another or the influence that the social media performance of a group of assets may have on one or more other assets.

Claims

1. A system for taking vertical goodwill into account when assessing the social media performance of an asset, the system comprising:

a configuration module for identifying an asset, the configuration module further configured to associate the asset with at least a first social media profile and a second social media profile, the first social media profile being maintained by the asset and the second social media profile being maintained by an entity other than the asset;

a data retrieval module for retrieving data from a social media platform, the data associated with one or both of the first and second social media profiles; and

an assessment module for deriving profile performance information for each of the first and second social media profiles, the profile performance information pertaining to at least one aspect of social media performance,

wherein the assessment module is further configured to derive asset performance information based, at least in part, on the profile performance information.

2. The system of claim 1, wherein the entity belongs to a different hierarchical tier of a peer group comprising the asset.

3. The system of claim 2, wherein the peer group is defined based, at least in part, on an input by a user.

4. The system of claim 2, wherein deriving asset performance information comprises weighting the profile performance information associated with the first social media profile greater than the profile performance information associated with the second social media profile.

5. The system of claim 4, wherein a weight corresponding to the profile performance information associated with the first social media profile and a weight corresponding to the profile performance information associated with the second social media profile are based, at least in part, on an input from a user.

6. The system of claim 1, wherein the at least one aspect of social media performance comprises a plurality of aspects of social media performance;

and

the assessment component is further configured to derive profile performance information pertaining to each of the plurality of aspects of social media performance for each of the first and second social media profiles.

7. The system of claim 6, wherein the assessment component is further configured to derive asset performance information pertaining to each of the plurality of aspects of social media performance based, at least in part, on the profile performance information pertaining to a respective aspect of the social media performance for each of the first and second social media profiles.

8. The system of claim 7, wherein the plurality of aspects of social media performance comprise an audience aspect, a voice aspect, an engagement aspect, and a reach aspect.

9. A non-transitory, computer-readable medium containing instructions that, when executed by a processor, performs a method comprising:

identifying an asset;

associating a first subset of social media profiles with the asset, each social media profile of the first subset being controlled by the asset;

associating a second subset of social media profiles with the asset, each social media profile of the second subset being controlled by one or more entities other than the asset; and

deriving primary profile performance information for each social media profile of the first subset, the primary profile performance information comprising one or more components corresponding to one or more aspects of social media performance;

deriving secondary profile performance information for each social media profile of the second subset, the secondary profile performance information comprising the one or more components corresponding to the one or more aspects of social media performance; and

deriving asset performance information based, at least in part, on the primary profile performance information and the secondary profile performance information.

10. The non-transitory, computer-readable medium of claim 9, wherein the asset belongs to a different vertical tier of a peer group than each of the one or more entities.

11. The non-transitory, computer-readable medium of claim 9, further comprising identifying the one or more entities based, at least in part, on one or more inputs from a user.

12. The non-transitory, computer-readable medium of claim 9, further comprising identifying each social media profile of the second subset based, at least in part, on one or more inputs from a user.

13. The non-transitory, computer-readable medium of claim 12, further comprising receiving peer group information from the user, the identification of each social media profile of the second subset based, at least in part, on the peer group information.

14. The non-transitory, computer-readable medium of claim 9, further comprising assigning a weight to each social media profile of the first subset and each social media profile of the second subset.

15. The non-transitory, computer-readable medium of claim 14, wherein the lowest weight assigned to a social media profile of the first subset is greater than the highest weight assigned to a social media profile of the second subset.

16. The non-transitory, computer-readable medium of claim 9, wherein the primary profile performance information and the secondary profile performance information each comprise a plurality of components, each component corresponding to a unique aspect of social media performance.

17. The non-transitory, computer-readable medium of claim 16, wherein the plurality of components comprise an audience aspect, a voice aspect, an engagement aspect, and a reach aspect.

19. The non-transitory, computer-readable medium of claim 16, wherein deriving asset performance information comprises assigning a weight to each of the plurality of social media profiles.

20. The non-transitory, computer-readable medium of claim 19, wherein a lowest weight assigned to a social media profile maintained by the asset is greater than the highest weight assigned to a social media profile maintained by an entity belonging to a different tier of the peer group.

18. A non-transitory, computer-readable medium containing instructions that, when executed by a processor, performs a method comprising:

identifying an asset;

identifying a peer group, the peer group comprising the asset and a plurality of entities;

identifying a plurality of social media profiles associated with the peer group;

deriving profile performance information for each of the plurality of social media profiles associated with the peer group; and

deriving asset performance information based, at least in part, on the profile performance information for each of the plurality of social media profiles associated with the peer group.