Net Promoter Score (NPS) Calculator
Compute NPS from 0-10 survey responses. Promoters (9-10) − Detractors (0-6). Plus industry benchmarks and 95% confidence interval. Free, no signup.
Net Promoter Score (NPS) Calculator
Net Promoter Score (NPS) measures customer loyalty on a single question: "How likely are you to recommend us to a friend or colleague?" Scored 0-10. NPS = % promoters (9-10) minus % detractors (0-6). Passives (7-8) don't count. Range: -100 to +100.
| Industry | Typical NPS | Top quartile |
|---|---|---|
| SaaS / Cloud software | +30 | +50 |
| E-commerce / Retail | +45 | +65 |
| Hospitality / Hotels | +50 | +70 |
| Banking / Retail finance | +34 | +55 |
| Telecom / ISP / Cable | +0 | +25 |
| Airlines | +35 | +55 |
| Healthcare | +27 | +50 |
| Insurance | +35 | +55 |
How to Use the NPS Calculator
Sum your survey response counts
Group 0-10 ratings into three buckets: Promoters = 9-10, Passives = 7-8, Detractors = 0-6. Most NPS platforms (Delighted, AskNicely, SurveyMonkey, Hotjar) pre-bucket these.
Enter each bucket count
Whole numbers, not percentages. The tool computes percentages itself. Don't try to enter "60% promoters" — enter the count.
Read NPS + 95% CI
NPS = -100 to +100. The 95% CI tells you how much sampling noise is in your number — at 100 responses you'll see ± 8-12; at 1,000 responses ± 3-4. Don't celebrate small NPS movements within the CI.
Compare to industry benchmark
Your raw NPS number is meaningless without context. SaaS at +30 = healthy; Hotels at +30 = below industry. Use the table for the right comparison.
NPS — Origin, Math, and How To Use It
The Single Question That Took Over Corporate Dashboards
Net Promoter Score was introduced by Fred Reichheld of Bain & Company in a 2003 Harvard Business Review article, "The One Number You Need to Grow." Reichheld's claim was that the answer to a single survey question — "How likely are you to recommend [Company] to a friend or colleague, on a 0-10 scale?" — correlated more strongly with growth than any other customer-satisfaction metric. The math takes the percentage of promoters (9-10) and subtracts the percentage of detractors (0-6); passives (7-8) are ignored. The score ranges from -100 (everyone is a detractor) to +100 (everyone is a promoter).
By 2010, NPS had been adopted by two-thirds of Fortune 500 companies. By 2020, it was a near-universal dashboard metric in SaaS, retail, hospitality, banking, and B2B services. Apple, Tesla, Costco, USAA, and Trader Joe's are the canonical NPS leaders (+70 to +85). Telecoms, ISPs, and airlines are the perennial bottom (-10 to +25). The simplicity of one question is the key feature: NPS travels across functions and across the C-suite without explanation, and it's actionable in a way that 30-question NPS-precursors (CSAT batteries, satisfaction grids) never were.
The Critiques That NPS Defenders Have To Address
The academic critique of NPS (Keiningham, Cooil, Andreassen 2007 etc.) is real: NPS discards information by collapsing an 11-point scale into 3 buckets; the "would recommend" question is a poor proxy for actual recommendation behaviour; and the score is statistically noisier than simply averaging the 0-10 ratings. None of these critiques have dented NPS adoption because the simplicity of the metric outweighs the statistical purism — executives understand "% promoters minus % detractors" instantly, while "mean of 11-point scale with cluster-robust standard errors" doesn't get past the dashboard committee. The pragmatic position: track NPS as the headline number AND mean rating as the noise-resistant variant, with verbatim feedback for diagnosis.
The other critique is gaming. When NPS becomes a leadership KPI tied to bonuses, frontline teams find ways to inflate it — surveying happy customers only, calling customers post-survey to "clarify" detractor responses, timing surveys for after a positive interaction. The Reichheld-prescribed defence is to randomise the survey population, automate distribution, and never let the team being measured control who gets surveyed. In practice, leadership-bonused NPS tends to drift up 5-10 points over 2-3 years from gaming before someone notices and resets the program.
"NPS is the corporate-dashboard equivalent of credit-score FICO — academically imperfect, practically dominant. The score's defects are well-documented, but no replacement has displaced it in two decades."
Confidence Intervals — The Sampling Reality
NPS swings with sample size. With 50 responses, the 95% CI is roughly ± 14 points — so an NPS of +30 vs +20 across consecutive surveys may be pure noise. With 500 responses, the CI shrinks to ± 5; with 5,000, to ± 1.5. Most SaaS companies survey monthly with 100-500 responses and see noisy month-on-month numbers; the fix is to track 3-month rolling NPS rather than single-month. The tool computes the 95% CI using a large-sample binomial approximation — accurate above ~30 responses. Below that, treat the score as directional only.
How to Use NPS Without Falling for It
The honest use of NPS is as one input among several, not the headline metric of a customer-experience program. Pair it with: retention / churn (the behavioural outcome NPS is trying to predict), CSAT post-interaction (more diagnostic, less subject to gaming), and verbatim feedback (the qualitative reason any number moves). Track NPS quarterly with a 3-month rolling window, segmented by customer cohort and product line. Avoid tying executive bonuses directly to NPS — over 2-3 years that pressure invariably inflates the score without improving the underlying experience. Treat the trend more than the absolute number, and read the verbatims before reacting to small swings.
10 Facts About NPS
NPS was introduced by Fred Reichheld in HBR in 2003 — "The One Number You Need to Grow."
Range: -100 to +100. Promoters (9-10) minus Detractors (0-6) as percentages.
Apple, Tesla, Costco consistently report NPS in the +70 to +85 range — the global ceiling.
Telecoms / ISPs floor at -10 to +5. Industry-wide structural issue, not company-specific.
By 2020, ~70% of Fortune 500 tracked NPS as a leadership-team KPI.
Passives (7-8) are ignored in the score but matter strategically — small UX wins shift them to promoters.
95% CI at 100 responses: ± 12 points. Track 3-month rolling NPS for stability.
Net Promoter System (rNPS = relational, tNPS = transactional) emerged ~2015 to add nuance.
Academic critique (Keiningham 2007): NPS discards information vs raw mean score; defenders cite executive simplicity.
Reichheld's 2021 update ("Net Promoter 3.0") replaced NPS-as-KPI with "Earned Growth Rate" — implicit acknowledgement of gaming risk.
Frequently Asked Questions
- NPS = % Promoters − % Detractors. Promoters rate 9 or 10. Detractors rate 0 through 6. Passives (7-8) are ignored in the calculation but still count toward the denominator. Range is -100 (all detractors) to +100 (all promoters). The score is reported as an integer without a percent sign — "+45" not "45%".
- It depends entirely on industry. SaaS: +30 is solid, +50 is top quartile. Hotels: +50 is typical, +70 is best-in-class. Telecom: +5 is typical, +25 is best. Apple-level (+70 to +85) is exceptional and rare. Use the industry-benchmark table below the calculator for the right comparison — a number without context is meaningless.
- NPS is statistically noisy. With 50 responses, your 95% CI is ± 14 points — so going from +30 to +20 month-on-month may be pure sampling noise, not a real change. Always look at the CI before celebrating or panicking. For stable trend lines, aggregate to quarterly or use 3-month rolling NPS instead of single-survey numbers.
- No — passives are crucial for diagnostic value even though they don't enter the score. A company with 60% promoters / 30% passives / 10% detractors (NPS = 50) is more resilient than one with 60% promoters / 10% passives / 30% detractors (also NPS = 30). The detractor concentration matters. Always show passive count and percentage in dashboards.
- Relational NPS (rNPS) asks about overall company recommendation — usually surveyed quarterly to all customers. Transactional NPS (tNPS) asks about a specific interaction (purchase, support ticket, onboarding) — surveyed immediately after the interaction. tNPS is more actionable but noisier; rNPS is more stable but slower-moving. Many companies track both.
- Focus on detractors first, not promoters. Detractors are usually 10-30% of your base — they cost more to serve (support tickets), churn faster, and damage word-of-mouth. Read verbatim feedback from every detractor, find the top 3 themes, and ship fixes. Moving 5 percentage points of detractors to passives lifts NPS by 5 points immediately. Promoter growth is harder and slower; detractor reduction is the highest-leverage near-term move.
- Yes — easily, when it's tied to bonuses. Common gaming: surveying only post-win customers, retroactively reaching out to detractors to "clarify" their response, leading the question, surveying after positive moments only. Defence: randomise survey targets, automate distribution, audit response patterns for anomalies, and never let the team being measured control who gets surveyed. Reichheld's 2021 "Net Promoter 3.0" framework introduced "Earned Growth Rate" partly to reduce the gaming risk of NPS-as-bonus-KPI.
- CSAT (Customer Satisfaction) measures satisfaction with a specific interaction on a 1-5 scale. NPS measures loyalty / likelihood to recommend on 0-10. CSAT is the better signal for "did this support ticket go well?" NPS is better for "is this customer relationship healthy long-term?" Both have a role — most CX programs use CSAT post-interaction and NPS quarterly relational.
- The original Reichheld 2003 HBR claim was strong correlation; subsequent academic replication (Keiningham 2007, others) found the correlation is real but weaker than originally claimed, and varies by industry. In SaaS, NPS-growth correlation is strong because word-of-mouth referrals dominate customer acquisition. In commodity industries (utilities, basic banking), correlation is weak — switching costs dominate satisfaction. Treat NPS as one input to growth modelling, not a deterministic predictor.
- No — ASEAN NPS scores typically run 10-25 points LOWER than US equivalents for the same product. Singapore, Hong Kong, Korea, and Japan respondents are culturally averse to giving 9-10 scores; "9 or 10 means perfect, and nothing is perfect" is a common framing. Bain's Asia NPS benchmarks adjust for this — a Singapore SaaS NPS of +20 is roughly equivalent to a US +40. When comparing markets, use region-specific benchmarks, not the global table.
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