📊 NPS Calculator

An NPS calculator that turns promoter, passive, and detractor response counts into your Net Promoter Score on the standard -100 to +100 scale.

✓ Free✓ No Signup Required✓ Browser-Based

Enter respondent counts by score group: Promoters (9-10), Passives (7-8), Detractors (0-6).

Net Promoter Score
45
Range: -100 to +100
Promoters
60.0%
Passives
25.0%
Detractors
15.0%
100 total responses

What NPS Calculator Does

Net Promoter Score compresses an entire distribution of survey responses into one number by design — that simplicity is exactly what made it popular after Fred Reichheld introduced it in a 2003 Harvard Business Review article, and exactly what critics point to as its biggest limitation. The score itself is one subtraction; the actual work is in collecting representative survey responses and interpreting the score in context rather than as an isolated absolute.

How to Use NPS Calculator

  1. Enter how many respondents scored 9-10 (Promoters), 7-8 (Passives), and 0-6 (Detractors)
  2. Read your Net Promoter Score and the percentage breakdown

Formula Used by NPS Calculator

Net Promoter Score

NPS = %Promoters − %Detractors

Worked example

60 promoters, 25 passives, 15 detractors (100 total responses)

  1. %Promoters: 60/100 × 100 = 60%
  2. %Detractors: 15/100 × 100 = 15%
  3. 60 − 15

Result: NPS = 45

How to Read Your Result

NPS is only as good as the response rate and sample it is built from

A score computed from a handful of highly engaged (or highly upset) respondents does not represent your full customer base the way a properly sampled survey does — low response rates or self-selection bias (only very happy or very unhappy customers bother responding) can distort NPS significantly.

The score is a snapshot; the trend usually matters more

A single NPS reading tells you where you stand today; tracking it consistently over time (same question wording, similar sampling) reveals whether initiatives are actually improving customer sentiment, which is generally the more actionable use of the metric.

Limitations & Accuracy Notes

  • NPS reduces a full distribution of opinions to one number — it discards information about why respondents scored the way they did, which usually requires a follow-up open-text question to recover.
  • "Good" NPS benchmarks vary enormously by industry; comparing your score to an unrelated industry's published average is not meaningful.
  • Sample size and response-rate bias can distort the score significantly, especially for smaller businesses with few responses.

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Frequently Asked Questions

What is the NPS formula?
NPS = % Promoters − % Detractors, where Promoters are respondents who scored 9-10 on "How likely are you to recommend us?", Detractors scored 0-6, and Passives (7-8) are counted in the total but excluded from the subtraction itself.
Why does a score of 7 or 8 not count as positive?
Passives are satisfied but not enthusiastic enough to actively recommend you, and research behind the NPS methodology treats them as at risk of switching to a competitor — they are deliberately excluded from the plus/minus calculation to keep the score reflecting genuine advocates versus genuine detractors.
What is a good NPS score?
Any score above 0 means more promoters than detractors. Above 30 is commonly considered good, above 70 excellent — but NPS benchmarks vary substantially by industry, so comparing your score against companies in the same space is more meaningful than a single universal cutoff.
Can NPS be negative?
Yes — if detractors outnumber promoters, NPS goes negative, down to a floor of -100 (100% detractors, 0% promoters).
How often should NPS be measured?
Quarterly is a common cadence for a relationship-level NPS (a general "how likely are you to recommend us" survey), while transactional NPS (sent right after a specific interaction, like a support ticket or purchase) can be measured continuously. Measuring too infrequently makes it hard to tie score changes to specific causes; measuring too often risks survey fatigue.
Should NPS be the only customer satisfaction metric tracked?
No — NPS measures likelihood to recommend, which is a proxy for loyalty, not a direct measure of satisfaction, usability, or support quality. Most teams pair it with more specific metrics (CSAT for individual interactions, churn rate, support ticket volume) rather than relying on NPS alone to diagnose problems.
Who created NPS and where did it come from?
Fred Reichheld introduced the concept in a 2003 Harvard Business Review article, "The One Number You Need to Grow," arguing that a single well-chosen survey question correlated better with actual business growth than the longer, more complex satisfaction surveys common at the time. The simplicity was the point — it was designed to be something an entire company could rally around and track consistently.
Does a 0-10 scale always mean the same thing across surveys?
Only if the exact standard question ("How likely are you to recommend...") and the same 0-10 grouping (0-6 / 7-8 / 9-10) are used — some companies alter the question wording or the scale itself, which produces a number that looks like NPS but isn't directly comparable to a properly standardized score.
Is my data stored?
No. The calculation runs entirely in your browser.
By OnlineToolHubs Team • September 2026