Net Promoter Score summarizes responses to a 0–10 recommendation question. Promoters score 9–10, Passives 7–8, and Detractors 0–6. NPS = % Promoters − % Detractors, ranging from −100 to +100. All responses count in the denominator. Compare matching survey methods and customer groups; the score alone does not predict individual behavior or revenue.

What is Net Promoter Score (NPS)?

Net Promoter Score (NPS) measures customer loyalty by asking one question: "How likely are you to recommend us to a friend or colleague?" on a 0-10 scale.

NPS Formula

NPS = % Promoters (9-10) - % Detractors (0-6)

NPS Categories

Promoters (9-10)
Respondents who chose 9 or 10
Passives (7-8)
Respondents who chose 7 or 8
Detractors (0-6)
Respondents who chose 0 through 6

Illustrative NPS comparison ranges

IndustryExample rangeHigher example score
B2B SaaS30-4050+
E-commerce45-6270+
Consumer Apps20-3050+
Financial Services35-4560+

These illustrative ranges are not measured industry averages. Use the linked benchmark guide for sourced comparisons and their survey context.

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Net Promoter Score (NPS) Calculator

Measure how likely customers are to recommend your product.

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Understanding Net Promoter Score (NPS) Calculation

Net Promoter Score (NPS), developed by Fred Reichheld at Bain & Company, summarizes how likely surveyed customers are to recommend a product or company. Review the score alongside customer feedback and business outcomes.

The NPS Methodology: Simple Yet Powerful

NPS asks how likely a customer is to recommend the product or service, using a 0–10 scale. Responses fall into three groups:

  • Promoters (9-10): Respondents scoring 9 or 10
  • Passives (7-8): Respondents scoring 7 or 8, included in the denominator
  • Detractors (0-6): Respondents scoring 0 to 6; examine their feedback before inferring behavior

The NPS formula is straightforward: % of Promoters - % of Detractors = NPS. Scores range from -100 (all detractors) to +100 (all promoters).

NPS Benchmarks by Industry

These are current average scores by industry, from Retently's 2026 NPS benchmark report. Treat them as a starting line, not a target. What counts as a good score depends on your industry and how you collect responses:

  • Financial Services: 68
  • Technology & Services: 63
  • Ecommerce & Retail: 61
  • Insurance: 46
  • B2B Software & SaaS: 41
  • Healthcare: 37

NPS vs CSAT vs CES: Choosing the Right Metric

NPS measures recommendation intent. Other customer-experience measures address different questions:

  • NPS (Net Promoter Score): Measures stated likelihood to recommend
  • CSAT (Customer Satisfaction): Evaluates satisfaction with specific interactions or transactions
  • CES (Customer Effort Score): Assesses the ease of customer interactions and processes

NPS, CSAT, and CES answer different questions about customer experience. Use NPS for recommendation intent, CSAT for satisfaction, and CES for effort or friction.

Improving Your NPS Score: Data-Driven Strategies

Successful NPS improvement requires systematic action on customer feedback:

  1. Close the Loop Quickly: Choose a response target appropriate to the issue, such as 24–48 hours for an initial reply; outreach does not guarantee retention
  2. Segment Analysis: Identify patterns in feedback by customer segment, product line, or geography
  3. Root Cause Analysis: Use text analytics to identify common themes in detractor feedback
  4. Promoter Activation: Develop referral programs and case studies leveraging promoter enthusiasm
  5. Passive Conversion: Target passives with personalized engagement to move them to promoters
  6. Cross-functional Alignment: Share NPS insights across teams to drive organization-wide improvements

Common NPS Calculation Mistakes to Avoid

Avoid these pitfalls that can undermine your NPS program:

  • Survey Timing Errors: Surveying too frequently causes fatigue; too infrequently misses trends
  • Sample Size Issues: Insufficient responses lead to unreliable scores and poor decisions
  • Segment Blindness: Overall NPS can hide significant variations between customer segments
  • Action Paralysis: Collecting NPS without acting on insights wastes opportunity and erodes trust
  • Gaming the System: Coaching customers or cherry-picking respondents produces misleading results

NPS as a Growth Driver: The Business Impact

NPS alone does not forecast growth. Compare it with retention, referrals, and revenue using your own customer data. A relationship between those measures does not show that increasing NPS caused growth.

Review what respondents actually do after the survey. Promoter, passive, and detractor categories summarize answers; they are not guarantees of buying, referral, or churn behavior.

Advanced NPS Analytics: Beyond the Score

Beyond the NPS score, examine the reasons customers give, patterns across their experience, and relationships with metrics such as LTV and churn. Driver analysis, text analysis, and journey mapping can help investigate those patterns.

What is Net Promoter Score (NPS)?

Net Promoter Score (NPS) measures customer loyalty by asking how likely customers are to recommend you on a 0-10 scale. Promoters (9-10) minus Detractors (0-6) gives a score from -100 to +100. Read the score alongside response rates, customer comments, and observed retention.

NPS Formula

NPS = % Promoters - % Detractors

Consumer survey comparison

Software firms averaged 21.1 in Qualtrics’ 2024 U.S. consumer study. This is not a B2B SaaS benchmark.

Qualtrics: 2024 NPS sample and method

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Use follow-up comments to understand why respondents chose their scores. Compare that feedback with support and usage evidence before deciding what to change.

NPS benchmarks by industry

IndustryNPS benchmark
Software/SaaSAverage: 41
E-commerceAverage: 61
Financial ServicesAverage: 68
HealthcareAverage: 37
Retently 2026 customer-sample averages; https://www.retently.com/blog/good-net-promoter-score/

Common questions

How do you calculate Net Promoter Score (NPS)?
NPS is calculated using a simple formula: % of Promoters - % of Detractors. First, survey customers asking "How likely are you to recommend us?" on a 0-10 scale. Then categorize responses: Promoters (9-10), Passives (7-8), and Detractors (0-6). Finally, subtract the percentage of Detractors from the percentage of Promoters. The result ranges from -100 to +100. PM Toolkit's NPS calculator automates this with segment analysis and benchmarks.
What is a good NPS score?
Qualtrics XM Institute’s 2024 U.S. consumer study reported an average NPS of 21.1 for software firms. Its overall study surveyed 10,000 consumers about 354 organizations across 22 industries. This is not a B2B SaaS benchmark. Compare survey method, customer population, and timing, and track your own trend.
What's the difference between NPS and CSAT?
NPS asks how likely someone is to recommend the product on a 0–10 scale. CSAT asks about satisfaction, often with a specific interaction. Neither score directly measures future behavior or growth. Choose the question that fits what you need to learn and read the comments alongside the score.
How often should you measure NPS?
Choose a schedule that fits your business and customer lifecycle. For B2B SaaS, that could be quarterly or twice a year. For ecommerce, survey after key transactions or monthly. Subscription services can use quarterly surveys and a more detailed annual review. Combining periodic relationship surveys with surveys after specific interactions lets you examine both.
How do Passives count in the NPS calculation?
Passives, who score 7–8, are included in the total response count used to calculate the promoter and detractor percentages. They add nothing directly to the difference between those percentages. Their comments and behavior still matter; the score category alone does not tell you whether they will recommend the product or leave.
How can I improve my NPS score?
Read comments from detractors, passives, and promoters to find recurring concerns and valued features. Follow up where appropriate, investigate the problems, and track comparable survey groups over time. A score change alone does not establish that a particular product change caused it.