# US 2025/0095010 A1 · System and method for estimating impact of customer sentiment on net promoter score > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0095010 A1 - Document ID: US20250095010A1 - Status: Published application - Kind: A1 - Application number: 18/813,097 - Filed: 2024-08-23 - Published: 2025-03-20 - Earliest claimed: 2023-08-23 - Assignees: Drsya Technologies Private Limited - Applicants: Drsya Technologies Private Limited - Inventors: ASHISH MUNGI; AJIT RAO; SESHAGIRI GUDIPUDI - Web page: https://patentgrep.com/patent/US20250095010A1 ## CPC - G06Q 30/0203: Market surveys; Market polls - G06Q 30/0245: {Surveys} - G06Q 30/0282: Rating or review of business operators or products - 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 ## Abstract The present invention relates to a system (100) for determining actionable brand equity, comprise of a data acquisition module (127) and a data processing module (128) integrated with a brand presence assessment module (1281), a brand experience assessment module (1282), a brand edge assessment module (1283), and a brand preference assessment module (1284). The brand presence assessment module (1281) captures top-of-mind awareness responses, the brand experience assessment module (1282) utilizes net promoter scores to rank brands based on respondent experiences, the brand edge assessment module assesses brand differentiators, while the brand preference assessment module (1283), gauges brand likability. Each of the modules generate a module-level score and grade to be used by a concerned authority to produce a set of actions for improving brand presence, brand experience, brand edge and brand presence. A composite grading module combines presence, experience, edge, and preference scores to offer an actionable brand equity grade. ## Claims ### Claim 1 A system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score, comprising of: one or more hardware processors (105); and a memory (125) coupled to the one or more hardware processors (105), wherein the memory (125) comprise a plurality of modules (126) in the form of programmable instructions executable by the one or more hardware processors (105); wherein: said plurality of modules (126) comprise of a data acquisition module (127) for receiving a response to a net promoter score survey from a survey respondent, a data processing module (128) for estimating one or more influencing metrics and impact of customer sentiment on said net promoter score; said data processing module (128) is configured to calculate a respondent type of promoter, passive or detractor based on the rating provided by the respondent, classify the net promoter score (NPS) rating into high, medium and low values, and analyze the sentiment of the free-text response given by the respondent to determine positive, negative or neutral sentiment, further the data processing module (128) is configured to: identify or define a metric which is to be estimated and generating a metric accordingly for each combination of the response sentiment and net promoter score rating; define a weight value for said combination of the response sentiment and the net promoter score rating; count and tabulate the response to the net promoter score survey for said combination of a response sentiment and a net promoter score rating; multiply said weight value with the response count for obtaining a weighted segment-wise count; and calculate an aggregate weighted average for the metric and interpret a value of said metric in a business context, calculate a true net promoter score with equal weightage to response sentiment and net promoter score rating, calculate a true net promoter score with higher weightage to response sentiment than net promoter score rating, calculate a true net promoter score with higher weightage to net promoter score rating than response sentiment, and interpret the true net promoter scores in a business context for estimating one or more influencing metrics and impact of customer sentiment on said net promoter score. ### Claim 2 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the data acquisition module (127) includes scanner, camera, keyboard, microphone, mouse and touchpad. ### Claim 3 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the data processing module (128) refers to a central processing unit and is preferably a microprocessor. ### Claim 4 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the data acquisition module (127) transfers the response from the respondent to the data processing module (128). ### Claim 5 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the system (100) further comprise of an input means (112) for receiving an input data and a data storage unit (130) for storing incoming input data or having a pre-stored data. ### Claim 6 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the net promoter score survey comprise of a set of questions for the respondent. ### Claim 7 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the response sentiment includes but not limited to positive, neutral and negative. ### Claim 8 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the net promoter score rating is selected but not limited from high, medium and low. ### Claim 9 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the matrix mapping the net promoter score ratings and/or net promoter score segments with the response sentiment is preferably a 3×3 matrix. ### Claim 10 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the equal weightage for a net promoter score rating and response sentiment includes the true promoters that are respondents who have given a high net promoter score rating and a free-text response that has a positive or neutral sentiment, or, a medium net promoter score rating and free-text response that has a positive sentiment. ### Claim 11 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the equal weightage for a net promoter score rating and response sentiment includes the true detractors that are respondents who have given a low net promoter score rating and a free-text response that has a negative or neutral sentiment, or, a medium net promoter score rating and a free-text response that has a negative sentiment. ### Claim 12 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the equal weightage for a net promoter score rating and response sentiment includes the true passives that are respondents who have given a medium net promoter score rating and a free-text response that has a neutral sentiment. ### Claim 13 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the equal weightage for a net promoter score rating and response sentiment includes the mixed passives that are respondents who have given a low net promoter score rating and a free-text response that has a positive sentiment, or, a high net promoter score rating and a free-text response that has a negative sentiment. ### Claim 14 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the higher weightage for a response sentiment includes the true promoters that are respondents who have given a free text response that has a positive sentiment, or, a high net promoter score rating and a free text response that has a neutral sentiment. ### Claim 15 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the higher weightage for a response sentiment includes the true detractors that are respondents who have given a free text response that has a negative sentiment, or, a low net promoter score rating and a free text response that has a neutral sentiment. ### Claim 16 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the higher weightage for a response sentiment includes the true passives that are respondents who have given a medium net promoter score rating and a free text response that has a neutral sentiment. ### Claim 17 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the higher weightage for the net promoter score rating includes the true promoters that are respondents who have given a high net promoter score rating, or, a medium net promoter score rating and a free text response that has a positive sentiment. ### Claim 18 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the higher weightage for the net promoter score rating includes the true detractors that are respondents who have given a low net promoter score rating, or, a medium net promoter score rating and a free text response that has a negative sentiment. ### Claim 19 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the higher weightage for the net promoter score rating includes the true passives that are respondents who have given a medium net promoter score rating and a free text response that has a neutral sentiment. ### Claim 20 (depends on 1) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 1, wherein the true net promoter scores are presented on an output module. ### Claim 21 (depends on 20) The system (100) for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 20, wherein the output module includes a graphical user interface which presents the net promoter score ratings versus response sentiment matrixes for different business metrics, true net promoter scores with equal weightage for a net promoter score rating and response sentiment, true net promoter scores with higher weightage for a net promoter score rating and true net promoter scores with higher weightage for response sentiment in a visual dashboard format and a downloadable report format for a clear visualization and interpretation. ### Claim 22 A method for estimating influencing metrics and impact of customer sentiment on net promoter score comprising steps of: a) receiving a response to a net promoter score survey from a survey respondent; b) calculating a respondent type of promoter, passive or detractor based on the rating provided by the respondent, classifying the net promoter score rating into high, medium and low values, analyzing the sentiment of the free-text response given by the respondent to determine positive, negative or neutral sentiment; c) identifying or defining a metric which is to be estimated and generating a metric accordingly for each combination of a response sentiment and a net promoter score rating; d) defining a weight value for said combination of a response sentiment and a net promoter score rating; e) counting and tabulating the response to the net promoter score survey for said combination of a response sentiment and a net promoter score rating; f) multiplying said weight value with the response count for obtaining a weighted segment-wise count in a metric; and g) calculating an aggregate weighted average for the metric and interpreting a value of said metric in a business context, calculating a true net promoter score with equal weightage to response sentiment and net promoter score rating, calculating a true net promoter score with higher weightage to response sentiment than net promoter score rating, calculating a true net promoter score with higher weightage to net promoter score rating than response sentiment, and interpreting the true net promoter scores in a business context for estimating one or more influencing metrics and impact of customer sentiment on said net promoter score. ### Claim 23 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the net promoter score survey comprise of a set of questions for the respondent. ### Claim 24 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the response sentiment includes but not limited to positive, neutral and negative. ### Claim 25 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the net promoter score rating is selected but not limited from high, medium and low. ### Claim 26 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the matrix mapping the net promoter score ratings and/or net promoter score segments with the response sentiment is preferably a 3×3 matrix. ### Claim 27 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the equal weightage for a net promoter score rating and response sentiment includes the true promoters that are respondents who have given a high net promoter score rating and a free-text response that has a positive or neutral sentiment, or, a medium net promoter score rating and free-text response that has a positive sentiment. ### Claim 28 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the equal weightage for a net promoter score rating and response sentiment includes the true detractors that are respondents who have given a low net promoter score rating and a free-text response that has a negative or neutral sentiment, or, a medium net promoter score rating and a free-text response that has a negative sentiment. ### Claim 29 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the equal weightage for a net promoter score rating and response sentiment includes the true passives that are respondents who have given a medium net promoter score rating and a free-text response that has a neutral sentiment. ### Claim 30 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the equal weightage for a net promoter score rating and response sentiment includes the mixed passives that are respondents who have given a low net promoter score rating and a free-text response that has a positive sentiment, or, a high net promoter score rating and a free-text response that has a negative sentiment. ### Claim 31 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the higher weightage for a response sentiment includes the true promoters that are respondents who have given a free text response that has a positive sentiment, or, a high net promoter score rating and a free text response that has a neutral sentiment. ### Claim 32 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the higher weightage for a response sentiment includes the true detractors that are respondents who have given a free text response that has a negative sentiment, or, a low net promoter score rating and a free text response that has a neutral sentiment. ### Claim 33 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the higher weightage for a response sentiment includes the true passives that are respondents who have given a medium net promoter score rating and a free text response that has a neutral sentiment. ### Claim 34 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the higher weightage for the net promoter score rating includes the true promoters that are respondents who have given a high net promoter score rating, or, a medium net promoter score rating and a free text response that has a positive sentiment. ### Claim 35 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the higher weightage for the net promoter score rating includes the true detractors that are respondents who have given a low net promoter score rating, or, a medium net promoter score rating and a free text response that has a negative sentiment. ### Claim 36 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the higher weightage for the net promoter score rating includes the true passives that are respondents who have given a medium net promoter score rating and a free text response that has a neutral sentiment. ### Claim 37 (depends on 22) The method for estimating influencing metrics and impact of customer sentiment on net promoter score as claimed in claim 22, wherein the true net promoter scores are displayed through a graphical user interface which presents the net promoter score ratings versus response sentiment matrixes for different business metrics, true net promoter scores with equal weightage for a net promoter score rating and response sentiment, true net promoter scores with higher weightage for a net promoter score rating and true net promoter scores with higher weightage for response sentiment in a visual dashboard format and a downloadable report format for a clear visualization and interpretation. ### Claim 38 A non-transitory computer-readable storage medium for storing one or more instructions for estimating influencing metrics and impact of customer sentiment on net promoter score, wherein the storage medium comprising an executable code which when executed by one or more units of a system causes a processor to: receive a response to a net promoter score survey from a survey respondent; calculate a respondent type of promoter, passive or detractor based on the rating provided by the respondent, classifying the net promoter score rating into high, medium and low values, analyzing the sentiment of the free-text response given by the respondent to determine positive, negative or neutral sentiment; identify or defining a metric which is to be estimated and generating a metric accordingly for each combination of a response sentiment and a net promoter score rating; define a weight value for said combination of a response sentiment and a net promoter score rating; count and tabulating the response to the net promoter score survey for said combination of a response sentiment and a net promoter score rating; multiply said weight value with the response count for obtaining a weighted segment-wise count in a metric; and calculate an aggregate weighted average for the metric and interpreting a value of said metric in a business context, calculating a true net promoter score with equal weightage to response sentiment and net promoter score rating, calculating a true net promoter score with higher weightage to response sentiment than net promoter score rating, calculating a true net promoter score with higher weightage to net promoter score rating than response sentiment, and interpreting the true net promoter scores in a business context for estimating one or more influencing metrics and impact of customer sentiment on said net promoter score. ### Claim 39 A user device for estimating influencing metrics and impact of customer sentiment on net promoter score, comprising: a memory; a processor connected with the memory, wherein the processor is configured to estimate influencing metrics and impact of customer sentiment on net promoter score equity via a system and the influencing metrics and impact of customer sentiment on net promoter score equity is estimated by: receiving a response to a net promoter score survey from a survey respondent; calculating a respondent type of promoter, passive or detractor based on the rating provided by the respondent, classifying the net promoter score rating into high, medium and low values, analyzing the sentiment of the free-text response given by the respondent to determine positive, negative or neutral sentiment; identifying or defining a metric which is to be estimated and generating a metric accordingly for each combination of a response sentiment and a net promoter score rating; defining a weight value for said combination of a response sentiment and a net promoter score rating; counting and tabulating the response to the net promoter score survey for said combination of a response sentiment and a net promoter score rating; multiplying said weight value with the response count for obtaining a weighted segment-wise count in a metric; and calculating an aggregate weighted average for the metric and interpreting a value of said metric in a business context, calculating a true net promoter score with equal weightage to response sentiment and net promoter score rating, calculating a true net promoter score with higher weightage to response sentiment than net promoter score rating, calculating a true net promoter score with higher weightage to net promoter score rating than response sentiment, and interpreting the true net promoter scores in a business context for estimating one or more influencing metrics and impact of customer sentiment on said net promoter score.