NPS stands for Net Promoter Score, a widely used metric that measures how likely your customers are to recommend your product or service to someone else. Developed by Fred Reichheld of Bain & Company and introduced in his 2003 Harvard Business Review article “The One Number You Need to Grow,” NPS distills customer loyalty into a single number ranging from -100 to +100. The average score across all industries sits around 42, while anything above 70 is considered world-class.
How NPS Is Calculated
NPS starts with one question: “On a scale from 0 to 10, how likely are you to recommend this product (or company) to others?” Based on their answer, each respondent falls into one of three groups:
- Promoters (9 or 10): Enthusiastic, loyal customers who will actively refer others
- Passives (7 or 8): Satisfied but unenthusiastic customers who could be swayed by a competitor
- Detractors (0 through 6): Unhappy customers who may discourage others from buying
The formula is straightforward: subtract the percentage of Detractors from the percentage of Promoters. Passives don’t factor into the math directly, though they still count toward your total number of respondents. If 60% of your customers are Promoters and 20% are Detractors, your NPS is 40. A company where every single customer scores a 9 or 10 would have a perfect 100. One where every customer scores 0 through 6 would sit at -100.
What Counts as a Good Score
Based on benchmark data from over 150,000 businesses, the average NPS is 32. The overall median across industries is 42, and companies in the top 25% score 72 or higher. But “good” varies significantly by industry. Manufacturing leads with a median of 65, followed by healthcare at 61 and retail at 55. Software companies sit at the bottom with a median of just 30, reflecting the complexity and friction common in that space.
There’s also a notable gap between business-to-consumer and business-to-business companies. B2C companies have a median NPS of 49, while B2B companies trail at 38. In healthcare, this gap is enormous: B2C healthcare scores a median of 70, while B2B healthcare drops to 38. The takeaway is that comparing your score to a company in a different industry, or even a different business model within your own industry, can be misleading.
Transactional vs. Relational NPS
Not all NPS surveys measure the same thing. Businesses typically use two distinct approaches. Transactional NPS captures feedback immediately after a specific interaction, like a purchase, a support call, or an onboarding session. It tells you how that particular experience went. Relational NPS is sent at regular intervals (quarterly or annually) regardless of any recent interaction. It measures how a customer feels about your company overall and tracks loyalty trends over time.
Most companies benefit from running both. Transactional surveys pinpoint which touchpoints are creating frustration. Relational surveys reveal whether the overall relationship is improving or eroding, which helps leadership teams spot bigger strategic problems before they show up in revenue numbers.
Why Businesses Rely on It
The original premise behind NPS is that customers at the extremes of your satisfaction scale, the enthusiasts and the unhappy ones, reveal more about your growth trajectory than a detailed satisfaction survey ever could. Promoters drive word-of-mouth referrals and repeat purchases. Detractors churn and warn others away. By tracking just those two groups, you get a simple signal that correlates with organic growth.
Research using a five-year dataset of nearly 2,800 customers confirmed that Promoters do spend more than other customers in a given year. However, the picture is more nuanced than the original pitch suggested. Same-customer revenue growth tends to come from a general increase across all customer categories, not predominantly from Promoters. NPS may be a better predictor of growth from new customer acquisition (driven by referrals and reputation) than from getting existing customers to spend more.
Common Criticisms
NPS is one of the most popular customer metrics in business, but it has drawn consistent academic criticism. The main objections center on three issues. First, the cut-off points are arbitrary. There’s no empirical reason why a 6 should be a Detractor while a 7 becomes a Passive. Second, collapsing an 11-point scale into just three categories throws away useful information. A customer who scores a 0 is treated identically to one who scores a 6, even though their experiences are very different. Third, the score alone tells you nothing about why customers feel the way they do, which means it can’t guide specific improvements without additional follow-up.
The original study linking NPS to company growth has also faced methodological scrutiny, with researchers questioning whether the causal connection is as strong as initially claimed. None of this means NPS is useless, but it works best as a starting point rather than the only metric you track.
Making NPS Actionable
A score by itself doesn’t change anything. The real value comes from what you do after you collect it. The most effective approach is called closed-loop feedback, which follows four steps: capture the score, analyze the patterns, take action on what you find, and then tell customers what you changed. That last step, informing customers their feedback led to real changes, is often the most overlooked and the most impactful. It turns a one-way survey into a conversation that builds trust.
Many companies now pair NPS surveys with an open-ended follow-up question like “What’s the main reason for your score?” This generates qualitative data that explains the number. Machine learning tools can analyze these open-text responses at scale, identifying recurring themes and detecting sentiment nuances that manual reading would miss. The combination of a simple score for tracking trends and rich text data for diagnosing problems is what makes NPS most useful in practice.
You can also segment your results by customer type, product line, region, or support channel. A company-wide NPS of 45 might mask the fact that one product scores 70 while another scores 15. Breaking the data apart reveals where to focus your energy.