The Net Promoter Score is the single most widely used loyalty metric in business. It boils everything down to one question — "How likely are you to recommend us to a friend or colleague, on a scale from 0 to 10?" — and turns those answers into a number that runs from -100 to +100. Teams at thousands of companies track it every quarter because it is fast, cheap, and surprisingly predictive of growth.
This calculator takes the raw counts from your survey and does the arithmetic for you. Just type how many customers chose each score band, and it returns your NPS along with the percentage of Promoters, Passives, and Detractors. There is no sign-up and no export — enter the numbers and read the result on the card.
How to Use
- Run your recommendation survey on a 0 to 10 scale to a representative sample of customers.
- Sort the responses into three groups. Promoters gave you a 9 or 10 — enthusiastic loyalists. Passives gave you a 7 or 8 — satisfied but uninterested. Detractors gave you a 0 through 6 — unhappy customers who may spread negative word of mouth.
- Enter the number of Promoters in the first box.
- Enter the number of Passives in the second box.
- Enter the number of Detractors in the third box.
- Read the result card: your NPS is shown in the middle, with each group's percentage of the total beside it.
The score is a whole number that can be positive, zero, or negative. A positive NPS means your advocates outnumber your critics; a negative one means the opposite.
The NPS Formula
Net Promoter Score is the percentage of Promoters minus the percentage of Detractors. Passives are counted in the total responses but are excluded from the math itself:
NPS = (% Promoters) − (% Detractors)
To get each percentage, divide the group count by the total number of responses and multiply by 100. For example, with 60 Promoters, 20 Passives, and 20 Detractors you have 100 responses total. Promoters are 60 ÷ 100 × 100 = 60%, Detractors are 20 ÷ 100 × 100 = 20%, so your NPS = 60 − 20 = 40. Notice that Passives contribute 20% to the picture but add nothing to the score — they simply sit in the middle.
Because the result is a difference of two percentages, it naturally falls between -100 (every single customer is a Detractor) and +100 (every single customer is a Promoter). A score of 0 means Promoters and Detractors are tied.
What Do NPS Scores Actually Mean?
There are no universal passing grades, but the benchmark bands below are a useful starting point:
- Above 70: world-class loyalty. Customers actively refer you; growth is driven by word of mouth.
- Between 30 and 70: solid. You have more advocates than critics, with room to improve.
- Between 0 and 30: average to fair. Satisfied customers exist, but detractors hold you back.
- Below 0: more Detractors than Promoters. Your product or service needs attention.
Remember that a raw score is only half the story. The same NPS means different things across industries: a software company may be delighted at 40, while a telecom business often fights to stay positive. Always compare yourself against your own past scores and your direct competitors, not against an abstract target.
Examples
Example 1 — A healthy SaaS business. Out of 500 surveyed customers, 280 answered 9 or 10, 150 answered 7 or 8, and 70 answered 0 through 6. Total responses are 500. Promoters = 280 ÷ 500 = 56%, Detractors = 70 ÷ 500 = 14%, so NPS = 56 − 14 = 42. That is a strong, investable result.
Example 2 — A storefront with a problem. A small shop hears from 100 customers: 25 are Promoters, 25 are Passives, and 50 are Detractors. Promoters are 25%, Detractors are 50%, giving NPS = 25 − 50 = -25. The negative number is the warning sign: for every advocate, there are two critics.
Example 3 — A startup launch. After a beta, 0 customers gave a 9 or 10, 50 gave 7 or 8, and 50 gave 0 through 6. Promoters are 0%, Detractors are 50%, so NPS = -50. Even though half the customers were lukewarm rather than furious, the absence of any advocate is what the score surfaces.
FAQ
How is NPS calculated?
NPS equals the percentage of customers who rated you 9 or 10 minus the percentage who rated you 0 through 6. Passives, who rated 7 or 8, are counted in the total responses but do not enter the subtraction. For instance, 60 Promoters out of 100 responses minus 20 Detractors out of 100 gives an NPS of 40.
What is a good NPS score?
There is no official cutoff, but scores above 70 are considered world-class, scores between 30 and 70 are good, and anything below 0 means your critics outnumber your advocates. Industry averages vary widely, so benchmark against competitors and your own trend rather than a single number.
Do Passives count toward the NPS?
They count in the denominator (the total number of responses) but not in the score itself. A large Passive share dilutes both the Promoter and Detractor percentages, which is why two surveys with the same raw Promoter count can show different NPS values.
Can NPS be negative?
Yes. When Detractors make up a larger share of responses than Promoters, subtracting a bigger number from a smaller one produces a negative score. Negative NPS values, such as -20 or -45, are common signals that customer satisfaction needs work.
How many survey responses do I need?
There is no minimum, but scores computed from a handful of replies jump around a lot. For a stable read, aim for at least several hundred responses, and track the trend over time rather than overreacting to a single good or bad batch.
Why is NPS so popular?
It is short to field, easy for customers to answer, and correlates reasonably with growth and referrals. Researchers and operators like it because one comparable number can be tracked quarter after quarter across teams and markets.
Disclaimer
This Net Promoter Score calculator is provided for informational purposes only and does not constitute business, marketing, or statistical advice. Results are based on the response counts you enter and the standard NPS formula; benchmarks are general references and may not apply to your industry. Always interpret the score alongside open-ended feedback and your own customer data before making decisions.