I remember the first time a client asked me what their NPS was. This was maybe 2015, and they said it like they were asking for their blood pressure reading. One number that told them whether their business was healthy or dying. The CEO had read Fred Reichheld's book. The board wanted a score. And suddenly my team was responsible for a metric I wasn't entirely sure meant what everyone thought it meant.
That tension, between NPS as a genuinely useful signal and NPS as a dangerously oversimplified vanity metric, hasn't gone away. If anything, it's gotten louder. And if you work in marketing or customer experience in 2026, you need to understand both sides of this argument, because people feel strongly about it.
Net Promoter Score is a customer loyalty metric developed by Fred Reichheld of Bain & Company in collaboration with Satmetrix. It was introduced in Reichheld's 2003 Harvard Business Review article "The One Number You Need to Grow" and later expanded in his book The Ultimate Question.
The concept is disarmingly simple. You ask customers one question: "On a scale of 0 to 10, how likely is it that you would recommend [company/product/service] to a friend or colleague?"
Based on their response, customers fall into three categories:
| Category | Score Range | Meaning |
|---|---|---|
| Promoters | 9-10 | Loyal enthusiasts who will keep buying and refer others |
| Passives | 7-8 | Satisfied but unenthusiastic; vulnerable to competitive offers |
| Detractors | 0-6 | Unhappy customers who can damage your brand through negative word-of-mouth |
The NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters. The score ranges from -100 (every customer is a detractor) to +100 (every customer is a promoter).
NPS = % Promoters − % Detractors
So if 60% of your respondents are Promoters and 20% are Detractors, your NPS is 40.
Reichheld's original insight was a reaction to the bloated customer satisfaction surveys of the late 1990s. Companies were sending out 50-question questionnaires. Response rates were plummeting. And the data rarely translated into actionable decisions. Reichheld wanted something radically simple, something that a CEO could track on a single slide and that correlated with business growth.
The pitch worked spectacularly well. By the mid-2010s, NPS had been adopted by two-thirds of the Fortune 1000. Apple, Amazon, USAA, and Costco became poster children for high NPS scores. Entire SaaS categories (Medallia, Qualtrics, Delighted) built businesses around collecting and analyzing NPS data.
What I find interesting is how NPS transcended its original purpose. It stopped being just a customer metric and became a management philosophy. Bain developed the Net Promoter System (capital S), which includes closed-loop feedback processes, employee NPS (eNPS), and operational improvements driven by detractor analysis.
NPS scores vary dramatically by industry, which is one of the reasons raw scores can be misleading without context. Here's a snapshot from Retently, Survicate, and Bain & Company data:
| Industry | Median NPS (2024-2025) | Top Performers |
|---|---|---|
| SaaS / Technology | 30-40 | Zoom (60+), Slack (55+) |
| E-commerce | 45-55 | Amazon (60+), Costco (70+) |
| Financial Services | 25-35 | USAA (75+), Vanguard (60+) |
| Healthcare | 25-40 | Kaiser (40+), Cleveland Clinic (50+) |
| Telecom | 0-20 | T-Mobile (35+) |
| Airlines | 15-30 | Southwest (60+), Delta (40+) |
| Insurance | 20-35 | State Farm (40+) |
What these benchmarks reveal is that an NPS of 30 can be excellent in telecommunications and mediocre in SaaS. Context is everything. And that's actually one of the metric's strengths, if you use it for competitive benchmarking within your industry.
Here's where things get contentious. And I'll be honest, I think the critics raise legitimate points that every marketer should grapple with.