Generating and Displaying Customer Commitment Framework Data

Abstract

Systems and methods for generating and displaying customer commitment framework data. 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:
 obtaining, via a digital intelligence system, customer experience data regarding any of a product, a brand, and customer relevance for a first entity;   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.   
     
     
         2 . The method according to  claim 1 , wherein the customer commitment framework data comprises any of a product commitment score, a brand commitment score, and a customer relevance score. 
     
     
         3 . The method according to  claim 2 , wherein the product commitment score, the brand commitment score, and the customer relevance score are calculated for a plurality of market segments. 
     
     
         4 . The method according to  claim 2 , wherein the product commitment score, the brand commitment score, and the customer relevance score are calculated for a plurality of languages. 
     
     
         5 . The method according to  claim 1 , wherein the customer commitment dashboard comprises a corresponding graphical representation for customer experience data regarding any of a product, a brand, and customer relevance for a second entity. 
     
     
         6 . The method according to  claim 5 , wherein the second entity is a competitor of the first entity and the corresponding graphical representation of customer experience data for the second entity is utilized as a benchmark. 
     
     
         7 . The method according to  claim 1 , further comprising calculating average score for a plurality of industry verticals, wherein an average score includes any of an average product commitment score, an average brand commitment score, and an average customer relevance score, which represents an average of scores for a plurality of entities within an industry vertical. 
     
     
         8 . The method according to  claim 1 , further comprising generating a graphical representation of segmentation that is a function of an influence vertical and any of product commitment score, brand commitment score, and customer relevance score horizontal. 
     
     
         9 . A system, comprising:
 one or more processors; and   logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to perform operations comprising:
 obtaining, via a digital intelligence system, customer experience data regarding any of a product, a brand, and customer relevance for a first entity; 
 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. 
   
     
     
         10 . The system according to  claim 9 , wherein the logic when executed is further operable to perform operations comprising generating a table of segmentation for any of a product, a brand, and customer relevance, wherein journey phases are displayed in rows and segments are displayed in columns. 
     
     
         11 . The system according to  claim 10 , wherein cells of the table include at least one of a product commitment score, a brand commitment score, and a customer relevance score. 
     
     
         12 . The system according to  claim 9 , wherein the logic when executed is further operable to perform operations comprising generating a table of segment characteristics for one or more of the segmentations. 
     
     
         13 . The system according to  claim 9 , wherein the logic when executed is further operable to perform operations comprising generating a graphical representation of any of product commitment scores, brand commitment scores, and customer relevance scores for the first entity, over a period of time. 
     
     
         14 . The system according to  claim 13 , wherein the logic when executed is further operable to perform operations comprising overlaying any of product commitment scores, brand commitment scores, and customer relevance scores for a plurality of competitors onto the graphical representation. 
     
     
         15 . The system according to  claim 13 , wherein the logic when executed is further operable to perform operations comprising overlaying product commitment scores for a plurality of competing products onto the graphical representation in such a way that the product commitment scores, brand commitment scores, and customer relevance scores of the first entity are distinguishable from the product commitment scores, brand commitment scores, and customer relevance scores of the plurality of competing products. 
     
     
         16 . The system according to  claim 9 , wherein the customer commitment dashboard comprises a link that exposes customer commitment framework data utilized to generate the graphical representation of the customer commitment framework data. 
     
     
         17 . The system according to  claim 9 , wherein the customer commitment framework data comprises any of a product commitment score, a brand commitment score, and a customer relevance score. 
     
     
         18 . The system according to  claim 17 , wherein the product commitment score, the brand commitment score, and the customer relevance score are calculated for any of a plurality of market segments and a plurality of languages.