Calculate your Net Promoter Score from survey data. Benchmarks, interpretation, and trend tracking included.
Survey Data
Detractors (0–6)
Passives (7–8)
Promoters (9–10)
Trend Tracking
Response Rate
Enter survey responses and calculate
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Net Promoter Score
Response Distribution
Promoters (9–10)
Passives (7–8)
Detractors (0–6)
Promoters
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Passives
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Detractors
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Good110 responses
Industry Benchmarks
NPS Trend
Response Rate
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Margin of Error
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What Is Net Promoter Score?
Net Promoter Score (NPS) is a customer loyalty metric created by Fred Reichheld at Bain & Company. It measures the likelihood that customers will recommend your product or service to others. Customers answer one question on a 0–10 scale and are grouped into three categories: Promoters (9–10), Passives (7–8), and Detractors (0–6).
NPS has become the standard loyalty metric for SaaS companies, product teams, and customer success organizations because it correlates with revenue growth, retention, and word-of-mouth acquisition. A single number that the entire company can rally around.
How to Calculate NPS
The NPS formula subtracts the percentage of Detractors from the percentage of Promoters. Passives count toward the total but don't directly affect the score.
NPS = (% Promoters) − (% Detractors)
Promoters = Respondents scoring 9 or 10
Detractors = Respondents scoring 0 through 6
For example, if you survey 200 customers and 100 are Promoters (50%), 60 are Passives (30%), and 40 are Detractors (20%), your NPS is 50 − 20 = +30.
Understanding NPS Score Ranges
70 to 100 (Excellent): World-class customer loyalty. Customers are enthusiastic advocates driving organic growth.
50 to 69 (Great): Strong customer satisfaction well above industry averages.
30 to 49 (Good): Solid foundation with clear room for improvement.
0 to 29 (Needs Improvement): More detractors than ideal. Focus on understanding and addressing pain points.
−100 to −1 (Critical): Significant customer dissatisfaction requiring immediate attention.
NPS Industry Benchmarks
NPS varies significantly across industries. Always benchmark against your specific sector rather than using a universal standard.
B2C / E-commerce: Average NPS of 39
Healthcare: Average NPS of 38
SaaS / Technology: Average NPS of 36
Financial Services: Average NPS of 35
B2B Services: Average NPS of 25
Insurance: Average NPS of 21
Frequently Asked Questions
NPS is a customer loyalty metric where customers rate their likelihood to recommend on a 0–10 scale. Responses are categorized as Promoters (9–10), Passives (7–8), or Detractors (0–6). The score is calculated as the percentage of Promoters minus the percentage of Detractors, yielding a result between −100 and +100. It was created by Fred Reichheld at Bain & Company and published in a 2003 Harvard Business Review article.
Step 1: Categorize each response — 9–10 are Promoters, 7–8 are Passives, 0–6 are Detractors. Step 2: Calculate the percentage of total respondents in each group. Step 3: Subtract the Detractor percentage from the Promoter percentage. Example: 120 Promoters out of 300 total (40%) minus 60 Detractors (20%) = NPS of +20.
Any positive NPS (above 0) means you have more Promoters than Detractors. Scores of 30–49 are considered good, 50–69 are great, and 70+ is world-class. However, context matters — SaaS companies average 30–40, while B2B services average 25–30. Always compare against your specific industry benchmark rather than using a universal standard.
Promoters (9–10) are loyal enthusiasts who actively recommend your product and drive referral growth. Passives (7–8) are satisfied but unenthusiastic — they won't actively promote you and are vulnerable to competitors. Detractors (0–6) are unhappy customers who may discourage others from using your product and are at highest risk of churning.
Relationship NPS (overall satisfaction) should be measured quarterly or semi-annually. Transactional NPS (after specific interactions like support or onboarding) can be measured continuously. Avoid surveying the same customer more than once per quarter to prevent survey fatigue. Track trends over time rather than optimizing for any single measurement.
Margin of error depends on sample size. With 100 responses, expect roughly ±10 points at 95% confidence. With 400 responses, it narrows to about ±5 points. For statistically meaningful NPS trends, aim for at least 200 responses per period. This calculator's advanced mode computes the exact margin of error for your sample size.
Three proven strategies: (1) Close the loop with every Detractor — respond to their feedback and address root causes to prevent churn. (2) Convert Passives to Promoters by identifying what would move them from satisfied to enthusiastic. (3) Empower Promoters through referral programs and advocacy channels. The fastest gains typically come from reducing Detractor count by fixing the most frequent complaints.