# US 2013/0159054 A1 · Generating and displaying customer commitment framework data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2013/0159054 A1 - Document ID: US20130159054A1 - Status: Published application - Kind: A1 - Application number: 13/767,832 - Filed: 2013-02-14 - Published: 2013-06-20 - Earliest claimed: 2011-08-18 - Assignees: SDL Enterprise Technologies, Inc. - Inventors: Michelle Amanda Evans; Elizabeth Ann High; Yi Lu; Joseoh Hyeon Chang - Web page: https://patentgrep.com/patent/US20130159054A1 ## CPC - G06Q 30/0201: Market modelling; Market analysis; Collecting market data - G06F 16/24578: {using ranking} - G06Q 10/44: Identification of trends within social networks, e.g. identification of trending topics - G06Q 10/46: Determination of level of influence of users within social networking services - G06Q 30/0202: Market predictions or forecasting for commercial activities - G06Q 30/0204: Market segmentation - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## 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. ## Claims ### Claim 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. ### Claim 2 (depends on 1) 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. ### Claim 3 (depends on 2) 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. ### Claim 4 (depends on 2) 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. ### Claim 5 (depends on 1) 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. ### Claim 6 (depends on 5) 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. ### Claim 7 (depends on 1) 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. ### Claim 8 (depends on 1) 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. ### Claim 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. ### Claim 10 (depends on 9) 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. ### Claim 11 (depends on 10) 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. ### Claim 12 (depends on 9) 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. ### Claim 13 (depends on 9) 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. ### Claim 14 (depends on 13) 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. ### Claim 15 (depends on 13) 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. ### Claim 16 (depends on 9) 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. ### Claim 17 (depends on 9) 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. ### Claim 18 (depends on 17) 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.