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NPS: meaning, formula, benchmarks and how to use it for genuine growth

A single question.
A number between -100 and +100.

Despite this simplicity, NPS is the most predictive indicator of organic growth available to management. In today’s article we explore it in depth, looking at its definition, its history and how to use it to drive real growth.

The origins of the Net Promoter Score

The Net Promoter Score originated in 2003 from an article by Fred Reichheld published in the Harvard Business Review under the title The One Number You Need to Grow. Reichheld, a partner at Bain & Company, had spent years researching the relationship between customer loyalty and revenue growth, looking for a metric simple enough to be used at every level of an organisation, and predictive enough to justify that simplicity.

The premise was provocative: the customer satisfaction measurement systems available until then (lengthy surveys, multi-question questionnaires, complex customer satisfaction indices) produced rich data that was hard to act on. Reichheld proposed replacing them all with a single question: “On a scale of 0 to 10, how likely are you to recommend this company to a friend or colleague?”

The system was developed in collaboration with Satmetrix, which in 2004 began collecting large-scale data to test the link between the score obtained and the organic growth of the companies analysed. The correlation proved robust: NPS leaders in their sector grew on average more than twice as fast as competitors with lower scores. In 2006 Reichheld published The Ultimate Question, which brought the method into mass adoption across large international organisations. According to Retently, two thirds of Fortune 1000 companies now use some form of NPS.

NPS meaning: what it is and what it really measures

The Net Promoter Score is a customer loyalty metric that measures how likely a customer is to recommend an organisation, product or service to others. Unlike the Customer Satisfaction Score (CSAT), which measures satisfaction with a single interaction, and the Customer Effort Score (CES), which measures the perceived ease of achieving an outcome, NPS captures the extent to which the customer trusts the brand. Is it enough for them to put their own personal reputation on the line by recommending it? The measure of that trust gives us the Net Promoter Score.

Consider this for a moment. The distinction is not semantic. A customer can be satisfied with an interaction without being a promoter of the brand. Recommending a brand to others requires a level of trust and identification that mere satisfaction does not guarantee. That is why NPS is regarded as an indicator of loyalty, not just of satisfaction.

A satisfied customer comes back. A promoter brings in new customers.

According to McKinsey, every one-point improvement in NPS corresponds to a 2.5% increase in annual revenue. Bain & Company documents that a 10-point increase is associated with a 12-18% rise in retention. According to Qualtrics, each additional NPS point translates into a 1.3% increase in customer lifetime value for companies with an NPS above 50. A high NPS is often the sign of a solid customer experience system that, in turn, generates growth. This evidence is robust enough to justify treating NPS as a reputational asset to be monitored as continuously as financial results.

How the NPS is calculated: formula and categories

The way the Net Promoter Score is calculated is its operational strength. It requires no statistical software, no statistically representative samples to produce an actionable result and no specialist interpretation to be communicated to management.

CategoryResponse scoreTypical behaviourImpact on the brand
Promoters9 – 10They actively recommend, return and spend moreOrganic growth, positive word of mouth
Passives7 – 8Satisfied but not enthusiastic, vulnerable to competitorsNeutral: they neither contribute nor cause harm
Detractors0 – 6Dissatisfied, potentially critical in publicNegative word of mouth, reputational risk

The formula is: NPS = % Promoters − % Detractors. Passives are not included in the calculation. The result is a number from -100 (all detractors) to +100 (all promoters). According to Bain & Company, a score above 30 is good, above 50 is excellent and above 70 is world-class.

A concrete example. If, out of 100 respondents, 60% are promoters, 20% are passives and 20% are detractors, the NPS is 60 − 20 = 40. A solid result that signals a loyal base, with room for improvement in converting passives.

According to Satmetrix, 50% of detractors leave the organisation within 90 days of the survey. This finding changes the logic by which NPS should be used: not as a periodic snapshot, but as an early warning system that identifies areas of risk before they turn into churn.

NPS, CSAT, CES: the distinctions that matter

Confusing these measures leads to concrete strategic errors: optimising the wrong metric for the wrong context.

MetricWhat it measuresTypical questionWhen to use itMain limitation
NPSLoyalty and propensity to recommend“How likely are you to recommend us?”Periodic measurement of loyalty at relationship levelIt does not explain why the score is what it is
CSATSatisfaction with a single interaction“How satisfied are you with this interaction?”Immediately after a specific interaction (purchase, support)Does not predict future behaviour; measures only the immediate past
CESEase of achieving a goal“How easy was it to resolve your issue?”After a customer service interactionMeasures effort, not overall perceived value
CLVTotal economic value of the customer over timeA calculated metric, not a survey metricStrategic planning and segmentationRequires historical data; does not measure future propensity

NPS correlates with CSAT at a coefficient of 0.6, and with CES at a coefficient of 0.55, according to a meta-analysis by Zendesk. A lower CES, meaning less effort for the customer, is associated with an 18% increase in NPS (Gartner). These correlations suggest that the metrics are not alternatives but complements: NPS measures direction, while CSAT and CES measure the operational causes. An organisation that wants to improve its NPS needs to understand, through CSAT and CES, precisely where the experience is failing or excelling.

The mechanism of recommendation

The willingness to recommend a brand to others is the result of an emotional process that precedes conscious evaluation.

Robert Cialdini, in his work on persuasion, identifies consistency as one of the six fundamental principles of social influence: people tend to act consistently with their public statements. A customer who has recommended a brand to a friend has made a symbolic commitment to that recommendation: they are more inclined to keep using that brand, to defend it against criticism and to spend more over time.

On average, promoters spend 20-30% more over their lifetime than the average customer (Retently, 2026). Not because they spend more at the moment of recommending, but because the act of recommending triggers a confirmation bias that leads them to perceive their subsequent experiences with that brand more positively. Passives, by contrast, lack this emotional anchor and are statistically the most vulnerable to competitors’ offers.

A promoter is also seven times more likely to forgive a mistake than the average customer (Satmetrix). This has far-reaching implications for crisis management: an organisation with a high percentage of promoters holds reputational capital that acts as a buffer at critical moments.

From transactional NPS to relational NPS

Transactional NPS

Transactional NPS measures the propensity to recommend immediately after a specific interaction: a purchase, a call to customer service, the resolution of a problem. It produces highly granular data on which touchpoints generate promoters and which generate detractors. It is the most useful tool for identifying the operational areas that need improvement.

Relational NPS

Relational NPS measures overall loyalty at the level of the relationship, independently of any single interaction. It is collected periodically, usually quarterly or every six months, and measures how customers perceive the brand as a whole. It is the most useful tool for tracking reputation over time and for comparison against sector benchmarks.

Competitive NPS

Competitive NPS, also known as benchmarked NPS or relative NPS, compares the organisation’s score with those of its direct competitors in the same market context. It is the most useful tool for strategic positioning: knowing that your NPS is 40 tells you nothing if your main competitor scores 55. Competitive NPS turns an absolute number into a relative figure, the only one that matters when assessing your position in the customer’s mind. This is why it is closely linked to brand equity: both measure, from different angles, the same phenomenon of perceived value.

Who, what, where, when and why: the 5 Ws of NPS

QuestionOperational response
Who should measure NPS?Any organisation that has repeat customers and wants to measure loyalty systematically. It is not a tool only for large companies: SMEs that use it consistently gain a real information advantage over competitors that rely solely on qualitative perceptions.
What does NPS measure that other metrics do not?The customer’s willingness to put their own personal reputation on the line to recommend the brand. This measure predicts future behaviour, not just past behaviour. A customer can be satisfied with an interaction (high CSAT) without being a promoter of the brand (low NPS).
When should it be measured?Relational NPS should be measured periodically, never after a negative event that would distort the data. Transactional NPS should be measured within 24-48 hours of the specific interaction. The optimal frequency for relational NPS is quarterly in high-interaction sectors and half-yearly in low-interaction ones.
Where is the survey distributed?By email (average response rate: 12-15%), in-app for digital products (average response rate: 21.7%), on WhatsApp for markets with high mobile adoption (average response rate: 30-50%). The channel determines the response rate: Bain recommends 60%+ for B2B key account customers. Below 30%, the data is statistically unreliable.
Why is NPS alone not enough?NPS tells you how much. It does not tell you why. Without an open follow-up question asking for the reason behind the score, the figure is useless for action. The real value of NPS is not in the number: it lies in the qualitative analysis of detractors’ responses, which reveals patterns of dissatisfaction before they turn into churn.

NPS benchmarks 2026: reference figures by sector

Comparing your NPS with the sector average is the only way to give the number operational meaning. An NPS of 40 is good in B2B software and mediocre in insurance. Comparing your score with the cross-industry average is a very serious mistake.

SectorAverage NPS 2026Top quartileNote
Insurance (B2B)8090+The highest of all, driven by post-pandemic trust
E-commerce4572+Delivery speed and returns are the main drivers
B2B software / SaaS38 – 5065+Nutanix leads at 92, sector average rising
Financial Services35 – 5075+USAA between 75 and 82 thanks to its focus on military customers
Healthcare30 – 4587Hinge Health leads digital physical therapy at 87
Hospitality28 – 4260+High variability, with personalised experiences a key driver
Telco / Media15 – 3950+Communication & Media back up to 39 in 2026
Construction4260+Rebound from 34 in 2025 to 42 in 2026
Retail / Consumer goods30 – 5070+Costco between 70 and 80, Apple between 68 and 72

The 2026 cross-industry average is 32, with a median of 44. The structural gap between B2C (average 49) and B2B (average 38) reflects the different nature of the relationships: longer buying cycles, multi-stakeholder complexity and a higher threshold for top scores in a professional context push B2B scores below B2C.

Brand management and NPS in 2026: the trends reshaping the field

Sector-wide NPS decline as a systemic signal

Forrester, in its Global NPS Rankings 2025, documents a decline in NPS in 20 of the 39 industry-country combinations analysed, with an increase in only 3. This trend does not mean that companies are delivering worse service: it means that customer expectations are rising faster than organisations’ ability to meet them. In this context, holding NPS steady is already a positive result. Growing it requires investment in the quality of the experience.

AI as a tool for converting detractors

Teams that adopt AI to resolve customer service tickets report an NPS improvement of 15-25 points within 90 days. The mechanism is simple: every interaction resolved fully and quickly reduces the number of potential detractors and increases the number of promoters. The quality of resolution, not speed, is the main driver: chatbots that deflect without resolving worsen NPS rather than improving it. Organisations that use AI to genuinely solve customers’ problems see results; those that use it to cut support costs without improving quality see the opposite effect.

NPS and AI Visibility: an emerging field

NPS as a brand signal is gaining relevance in new territory: generative AI systems that synthesise reputations and recommend brands in response to user queries. A brand with a high NPS, documented and communicated through structured content, is more likely to be recommended positively by AI models than a brand with a high NPS but no control over its own digital narrative. For the most advanced organisations, brand governance now includes actively managing the signals that shape how the brand is represented in AI systems.

NPS and reputation management: the work of Bliss Agency

At Bliss Agency, NPS is an integral part of the brand equity measurement system we build for clients. Specifically, it is one component of a broader framework that includes awareness, consideration, preference and NPS as sequential indicators of customer loyalty.

Doreca Italia: NPS as an omnichannel positioning benchmark

In the repositioning of Doreca Italia, a HoReCa operator with turnover exceeding 200 million euros, continuous measurement of satisfaction and propensity to recommend guided operational decisions on retail openings, local activations and digital communications. The 13.36% CTR on Google Ads campaigns, significantly above the sector benchmark of 3-5%, is an indirect signal of a high NPS: an audience that trusts the brand responds to ads more often and with greater intent. The digital performance figure and the loyalty figure are expressions of the same phenomenon: a brand perceived as relevant and reliable by its audience.

The lesson beyond the metric

The Net Promoter Score is a tool. And like any tool, its value depends on how it is used.
An NPS measured once a year and reported to the board as an aggregate figure without qualitative analysis produces no advantage whatsoever. An NPS measured continuously, analysed by segment and by touchpoint, and used to identify patterns of dissatisfaction before they turn into churn and to amplify the behaviours that create promoters, becomes one of the most powerful tools an organisation has for building a brand that endures over time.

Organisations that treat NPS as a number to optimise for internal reports get a number. Those that treat it as a signal of how customers experience the brand, and use that signal to make operational and strategic decisions, get something far more valuable: the ability to grow through the trust of their market rather than in spite of their own limitations.

In short, the Net Promoter Score can only be optimised by improving the experience customers have with the brand at every touchpoint. That is why we support organisations in building integrated measurement systems that link NPS data to operational and strategic decisions, within a brand advisory framework that brings together loyalty, reputation and value over time.

To find out more, request strategic advisory.


New Connections (FAQ)

What is the Net Promoter Score and how is it calculated?

The Net Promoter Score (NPS) is a customer loyalty metric based on a single question: “On a scale of 0 to 10, how likely are you to recommend this company to a friend or colleague?” Respondents are divided into promoters (9-10), passives (7-8) and detractors (0-6). NPS is calculated by subtracting the percentage of detractors from the percentage of promoters. The result ranges from -100 to +100. A score above 30 is considered good, above 50 excellent and above 70 world-class (Bain & Company).

What is the difference between NPS and customer satisfaction (CSAT)?

CSAT measures satisfaction with a single, specific interaction, asking customers how satisfied they were with that experience. NPS measures overall loyalty to the brand, asking whether customers would recommend it to others. A customer can be satisfied with an interaction (high CSAT) without being a promoter of the brand (low NPS). NPS predicts future behaviour such as repurchase and recommendation; CSAT measures the perceived quality of a past event.

How often should NPS be measured?

It depends on the type of NPS and the sector. Relational NPS, which measures overall loyalty, should be collected quarterly in high-interaction sectors and every six months in low-interaction ones. Transactional NPS, which follows a specific interaction, should be collected within 24-48 hours of the event. Measuring relational NPS too often, for example monthly, risks causing survey fatigue and lowering response rates to the point where the data becomes statistically unstable.

Is an NPS of 30 good?

It depends on the sector. An NPS of 30 is in line with the cross-industry average (2026 average: 32, source: Retently), but it is below average in sectors such as B2B insurance (average 80) or e-commerce (average 45), and above average in sectors such as consumer software or telco. The operating rule is to always compare your NPS with the benchmark for your specific sector, not with the general average. An NPS of 30 in telecommunications is an excellent result. The same score in financial services signals a below-average position.

What should you do when NPS falls?

The first step is to analyse detractors’ qualitative responses to identify patterns of dissatisfaction. A drop in NPS is not in itself a crisis: it may signal that customer expectations have grown faster than the quality of the experience, or that a specific operational area has deteriorated. Acting on aggregate NPS without understanding the specific causes leads to ineffective interventions. The second step is to segment the drop: if it concerns a specific touchpoint, customer segment or time period, the solution is operational. If it affects all segments and all touchpoints, the problem lies in positioning and brand governance and requires strategic intervention.

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