Generating and Displaying Customer Commitment Framework Data

Abstract

Systems and methods for generating and displaying customer commitment framework data are provided. Exemplary methods for determining the shareability of online content may include obtaining, via a digital intelligence system, customer experience data regarding any of a product, a brand, and customer responses for a first entity, as well as periodically calculating, via the digital intelligence system, customer commitment framework data from the customer experience data, and generating a customer commitment dashboard that comprises a graphical representation of the customer commitment framework data.

What is claimed is: 
     
         1 . A method, comprising:
 determining, via a social media intelligence system, social media participants in at least one phase of a product cycle for a brand;   obtaining, via the social media intelligence system, social media data from one or more social media platforms for the participants relative to the brand;   calculating, via the social media intelligence system, a brand commitment score that represents a commitment level of the participants to the brand;   selecting social media conversations to be tracked based on the calculated brand commitment score for the participants;   tracking the calculated brand commitment scores for the selected social media conversations over time and per participant; and   providing the brand commitment score to an end user client device by the social media intelligence system.   
     
     
         2 . The method according to  claim 1 , wherein calculating comprises evaluating the social media data by determining keywords included in the social media data that reflect brand commitment, the social media data being determined from social media conversations of one or more authors. 
     
     
         3 . The method according to  claim 2 , wherein determining keywords comprises comparing keywords in the social media data to a matrix of words that reflect any of hopefulness, attraction, and devotion sentiments of the authors. 
     
     
         4 . The method according to  claim 2 , wherein calculating comprises computing an author rank for the authors, the author rank comprising an analysis of any of social media connections, social status, and combinations thereof, wherein the author rank is associated with an influence for the author. 
     
     
         5 . The method according to  claim 4 , further comprising computing an adjusted author rank score by dividing the author rank by a sum of author ranks for a plurality of authors, the author rank being one of the plurality of author ranks. 
     
     
         6 . The method according to  claim 5 , further comprising calculating a component weight for a conversation of the authors. 
     
     
         7 . The method according to  claim 6 , further comprising:
 determining a brand commitment score scaling factor, based upon an analysis of keywords included in the social media conversations;   adjusting the scaling factor, such that:   the scaling factor for keywords associated with devotion sentiments are highest;   the scaling factor for keywords associated with attraction sentiments are lower than the scaling factor for keywords associated with devotion sentiments; and   the scaling factor for keywords associated with hopefulness sentiments are lower than the scaling factor for keywords associated with attraction sentiments.   
     
     
         8 . The method according to  claim 7 , further comprising multiplying the adjusted author rank with the component weight and the scaling factor to generate the brand commitment score. 
     
     
         9 . The method according to  claim 2 , wherein the author includes a trusted author. 
     
     
         10 . A system, comprising:
 one or more processors; and   logic encoded in one or more non-transitory tangible media for execution by the one or more processors and when executed operable to perform operations comprising:   determining, via a data gathering module, social media participants in at least one phase of a product cycle for a brand;   obtaining, via the data gathering module, social media data from one or more social media platforms for the participants relative to the brand;   calculating, via a brand commitment score module, a brand commitment score that represents a commitment level of the participants to the brand;   identify participants with a lagging commitment to the brand using the calculated brand commitment score;   developing actionable priorities tailored to the identified participants;   advertising to the identified participants according to the actionable priorities; and   providing the brand commitment score to an end user client device by the system.   
     
     
         11 . The system according to  claim 10 , wherein the brand commitment score module is configured to evaluate the social media data by determining keywords included in the social media data that reflect brand commitment, the social media data being determined from social media conversations of one or more authors. 
     
     
         12 . The system according to  claim 11 , wherein the brand commitment score module is configured to determine keywords by comparing keywords in the social media data to a matrix of words that reflect any of hopefulness, attraction, and devotion sentiments of the authors. 
     
     
         13 . The system according to  claim 12 , wherein the brand commitment score module is configured to calculate an author rank for the authors, the author rank comprising an analysis of any of social media connections, social status, and combinations thereof, wherein the author rank is associated with an influence for the author. 
     
     
         14 . The system according to  claim 13 , wherein the brand commitment score module is configured to compute an adjusted author rank score by dividing the author rank by a sum of author ranks for a plurality of authors, the author rank being one of the plurality of author ranks. 
     
     
         15 . The system according to  claim 14 , wherein the brand commitment score module is configured to determine a component weight for a conversation of the author, the component weight being selected based upon whether the conversation is associated with any of the hopefulness, attraction, and devotion sentiments. 
     
     
         16 . The system according to  claim 15 , wherein the brand commitment score module is configured to:
 determine a brand commitment score scaling factor, based upon an analysis of keywords included in the social media conversations;   adjust the scaling factor, such that:   the scaling factor for keywords associated with devotion sentiments are highest;   the scaling factor for keywords associated with attraction sentiments are lower than the scaling factor for keywords associated with devotion sentiments; and   the scaling factor for keywords associated with hopefulness sentiments are lower than the scaling factor for keywords associated with attraction sentiments.   
     
     
         17 . The system according to  claim 16 , wherein the brand commitment score module is configured to multiply the adjusted author rank with the component weight and the scaling factor to generate the brand commitment score. 
     
     
         18 . The system according to  claim 10 , wherein the author includes a trusted author.