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Net Promoter Score (NPS)

Net Promoter Score (NPS) is a customer loyalty metric based on how likely customers are to recommend a company, calculated as the percentage of promoters minus the percentage of detractors.

Also known as: promoter score, loyalty score, recommendation score

Net Promoter Score (NPS) is a widely used customer loyalty metric that gauges satisfaction by asking one question: how likely are you to recommend this company, product, or service to a colleague, on a scale of 0 to 10. Respondents are grouped into promoters (9 to 10), passives (7 to 8), and detractors (0 to 6).

What Net Promoter Score Means

NPS is calculated by subtracting the percentage of detractors from the percentage of promoters, producing a number that can range from negative 100 to positive 100. Passives are counted in the total response base but do not add to the score directly. In B2B revenue marketing, NPS functions as a leading indicator of retention, expansion, and referral potential, all of which feed long-term revenue and LTV. It is most useful when paired with follow-up questions and tracked as a trend over time rather than as a single benchmark snapshot.

How Net Promoter Score Works

The score categorizes respondents and computes promoter percentage minus detractor percentage. Scores above 0 mean more promoters than detractors; scores above 30 are generally considered good, above 50 excellent, and above 70 world-class. Benchmarks vary widely by industry; B2B SaaS commonly runs in the 30 to 50 range while consumer brands can vary much more. Relational NPS measures overall sentiment toward the company on a periodic basis; transactional NPS measures sentiment immediately after a specific interaction (onboarding, support ticket, renewal call). Many programs use both views together.

Common Pitfalls and Misconceptions

The common pitfall is treating the NPS score itself as the goal. The real value comes from the follow-up question asking why a customer gave their rating, since that qualitative feedback shows what to fix or amplify. NPS without the verbatim follow-up is a number without a cause, and chasing the number alone often produces survey-design tricks that lift the score without changing the underlying experience. The second pitfall is gaming: sending the survey to obvious promoters or timing it right after a positive interaction can inflate the score without improving anything, particularly when compensation is tied to score movement.

Net Promoter Score in Practice

The practitioner sophistication is reading relational versus transactional NPS together. When relational NPS is high but transactional NPS is low on a specific moment, that moment is where loyalty is being earned despite the touchpoint, not because of it. The gap between the two metrics is often where the highest-leverage operational improvements live. NPS should be one input to a composite customer health score rather than the dominant one, because it lags actual engagement signals; health scores are most predictive when they weight leading indicators (usage, champion engagement) more heavily than lagging ones like NPS.

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Common questions.

How is Net Promoter Score calculated?
NPS is calculated by subtracting the percentage of detractors (scores of 0 to 6) from the percentage of promoters (scores of 9 to 10). Passives (scores of 7 to 8) are excluded from the calculation but still count toward the total response base. The result is a single number between negative 100 and positive 100.
What is a good NPS score?
Any score above 0 means a company has more promoters than detractors, and scores above 30 are generally considered good. Scores above 50 are seen as excellent and above 70 as world-class. Benchmarks vary widely by industry; B2B SaaS commonly runs in the 30 to 50 range while consumer brands can vary much more.
Why does NPS matter for revenue marketing?
Loyal customers are more likely to renew, expand their spend, and refer others, all of which drive revenue at lower cost than new acquisition. NPS acts as an early warning signal: a falling score can predict churn before it shows up in revenue. It also identifies promoters who can become references and advocates.
What is the difference between relational and transactional NPS?
Relational NPS measures overall loyalty to the company on a periodic basis (quarterly or annually), while transactional NPS measures satisfaction right after a specific interaction such as a support case or onboarding. Relational NPS tracks the broad relationship; transactional NPS pinpoints which experiences help or hurt it. Many programs use both.
What are the limitations of NPS?
NPS is a single number that does not explain why customers feel as they do, and response rates and cultural differences can skew results (European customers rate lower than Americans on the same satisfaction level, for example). It is most useful when paired with follow-up questions and tracked as a trend over time.
Can NPS be gamed?
Yes, easily. Sending the survey to obvious promoters, timing it right after a positive interaction, or asking only customers known to be happy can all inflate the score without improving anything. NPS programs that tie compensation to score movement frequently produce gaming behavior that lifts the number while degrading the underlying signal.
How does NPS relate to customer health scores?
NPS is often one input to a composite customer health score, but it should not be the dominant one because it lags actual engagement signals. Health scores are most predictive when they weight leading indicators (usage, champion engagement) more heavily than lagging ones (NPS, support volume). NPS confirms what other signals already showed.

Related Terms

More from Measurement.

  • Algorithmic Attribution

    Algorithmic Attribution is a data-driven approach that uses statistical or machine learning models to assign conversion credit based on each touchpoint's measured contribution rather than a fixed rule.

  • Annual Recurring Revenue (ARR)

    Annual Recurring Revenue (ARR) is the value of the recurring components of a subscription business normalized to a one-year period, excluding one-time fees.

  • Attribution Window

    Attribution Window is the defined time period during which a marketing touchpoint can be credited for a resulting conversion in an attribution model.

  • Benchmarking

    Benchmarking is the practice of comparing performance metrics against past results, competitors, or industry standards to assess how performance compares to a reference point.

  • Bottom-Up Forecasting

    Bottom-Up Forecasting is a forecasting method that builds revenue projections by summing individual deals, accounts, or program estimates from the ground up rather than dividing a top-line target downward.

  • Bounce Rate

    Bounce Rate is the percentage of website sessions in which a visitor views a single page and leaves without further interaction or navigating to another page.

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