--- title: "What is the Net Promoter Score (NPS)? Definition and Calculation | Minds" canonical_url: "https://getminds.ai/glossary/was-ist-das-net-promoter-score-nps" last_updated: "2026-06-12T17:29:32.654Z" meta: description: "Learn how the Net Promoter Score (NPS) is calculated and how to predictively simulate your target audience's willingness to recommend." "og:description": "Learn how the Net Promoter Score (NPS) is calculated and how to predictively simulate your target audience's willingness to recommend." "og:title": "What is the Net Promoter Score (NPS)? Definition and Calculation | Minds" "twitter:description": "Learn how the Net Promoter Score (NPS) is calculated and how to predictively simulate your target audience's willingness to recommend." "twitter:title": "What is the Net Promoter Score (NPS)? Definition and Calculation | Minds" --- June 12, 2026·Glossary·Minds Team # **What is the Net Promoter Score (NPS)? Definition and Calculation** Learn how the Net Promoter Score (NPS) is calculated and how to predictively simulate your target audience's willingness to recommend. The Net Promoter Score (NPS) is a standardized metric for measuring customer satisfaction and willingness to recommend, based on a scale from zero to ten. Today, modern platforms like Minds enable companies to predictively simulate this value for specific target audiences without having to conduct lengthy and expensive customer surveys. ## How the Net Promoter Score (NPS) Works The way this metric works is based on a single, central question: How likely is it that you would recommend this product or service to a friend or colleague? Respondents answer on a scale from zero (extremely unlikely) to ten (extremely likely). Based on their answers, participants are divided into three categories. People who answer with a nine or ten are considered promoters, who actively support growth. Those who answer with a seven or eight are classified as passives, as these customers are satisfied but open to switching. Answers from zero to six define detractors, who are dissatisfied and can spread negative word-of-mouth. The final score is calculated by subtracting the percentage of detractors from the percentage of promoters. The result therefore always ranges between minus one hundred and plus one hundred. A positive score is generally considered good, while scores above fifty are classified as excellent. This simple segmentation allows companies to quickly assess customer loyalty and initiate targeted measures to improve the customer experience. ## Calculating the Net Promoter Score (NPS) The mathematical determination of this metric follows a simple formula that nevertheless holds high predictive power. Once all responses are collected, the percentage of dissatisfied customers is subtracted from the percentage of highly satisfied customers. Passive participants, meaning those who gave a rating of seven or eight, do not directly enter the calculation. However, they influence the overall result indirectly, as they increase the total number of respondents and thus reduce the percentage of the other two groups. For example, if a company has sixty percent promoters, twenty percent passives, and twenty percent detractors, the result is plus forty. A negative score indicates an immediate need for action, as in this case, dissatisfied voices outweigh the positive ones and can damage the brand in the long run. This clear structure makes it easy to compare customer loyalty across different industries and time periods. ## A Concrete Example A medium-sized German software manufacturer from München wants to introduce a new user interface for its accounting software. Before rolling out the update to all existing customers, the product team wants to evaluate the potential willingness to recommend among its core target audience. Instead of waiting weeks for feedback from a physical test group, the team uses a simulation. The fictional persona Sabine, an independent tax advisor from Hamburg, evaluates the new design. The simulation reveals that the altered menu navigation leads to a high number of detractors in this user group, as key features are harder to find. The simulated score drops from plus thirty-five to minus ten compared to the old version. Thanks to this early signal, the development team can adjust the navigation before any real damage is done to customer satisfaction or expensive development resources are wasted. ## How Minds Applies the Net Promoter Score (NPS) Minds revolutionizes the determination of this metric by predictively simulating the willingness to recommend across target audience segments. Instead of fatiguing real customers with repeated surveys, Minds delivers deep insights in under an hour. The platform achieves an average correlation of 85 to 95 percent with traditional physical panels, with specific questions and well-anchored segments even reaching up to 100 percent correlation. This three-stage model is based on real-world data anchoring, a robust behavioral model, and continuous validation against established reference benchmarks such as Kantar, Eurostat, and the Statistisches Bundesamt. Since the entire infrastructure is hosted on European servers, the process is fully GDPR-compliant and does not process any personal data of real end users. This allows marketing and insights teams to test an unlimited number of scenarios without straining the budget for traditional panels or risking real customer trust with immature concepts. ## Related Terms - Customer Satisfaction Score (CSAT) measures short-term satisfaction with a specific interaction or product. - Customer Effort Score (CES) assesses the effort a customer has to make to resolve an issue or complete a task. - Churn Rate describes the percentage of customers who cancel a subscription or service within a given period. - Customer Lifetime Value (CLV) predicts the total financial value a customer generates over the course of the business relationship. - Target Audience Segmentation divides the market into homogeneous groups based on demographic and psychographic behavioral patterns. - Predictive Analytics uses historical data and statistical models to predict future behaviors and trends. - Panel Survey is a traditional market research method where the same group of people is repeatedly surveyed on specific topics. ## Conclusion Measuring and simulating the willingness to recommend is a crucial lever for accurately predicting customer growth and avoiding wrong decisions in product development. With Minds, you can gain these valuable insights in the shortest possible time and without straining the budget for traditional panels. Test your concepts and optimize your customer approach today by starting a free simulation on [getminds.ai](https://getminds.ai).