Metric Definition
NPS
Net Promoter Score
Net Promoter Score measures customer loyalty by asking how likely a customer is to recommend your product or service. It is the most widely used customer experience metric, providing a single number that captures sentiment and predicts growth through word-of-mouth.
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What is NPS?
Net Promoter Score (NPS) is a customer loyalty metric based on a single question: "How likely are you to recommend [product/company] to a friend or colleague?" Respondents answer on a 0-to-10 scale and are categorised into three groups: Promoters (9-10), Passives (7-8), and Detractors (0-6). NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters, producing a score between -100 and +100.
NPS was introduced by Fred Reichheld in a 2003 Harvard Business Review article as "the one number you need to grow." The premise is simple: customers who actively recommend your product drive organic growth through referrals, while customers who actively discourage others destroy growth. The balance between these two forces predicts whether a business will grow or contract.
The metric has become nearly universal in business. Most SaaS companies, consumer brands, financial institutions, and service businesses survey NPS regularly. It is tracked in board meetings, investor updates, and product reviews. Its popularity stems from its simplicity: one question, one number, easy to benchmark.
However, NPS has significant limitations. It measures stated intent to recommend, not actual recommendation behaviour. It does not tell you why customers are Promoters or Detractors. It can be gamed through selective survey targeting. And the score can vary dramatically based on survey timing, sample selection, and question framing. Despite these limitations, NPS remains valuable as a trending metric that signals the direction of customer sentiment.
NPS is most valuable as a trend indicator, not an absolute number. A score of 40 that is rising is more encouraging than a score of 60 that is declining. Track NPS over time and combine it with qualitative follow-up questions to understand what is driving the score.
How to calculate NPS
Survey customers with the question: "On a scale of 0 to 10, how likely are you to recommend [product] to a friend or colleague?" Categorise responses into Promoters (9-10), Passives (7-8), and Detractors (0-6). Calculate NPS as the percentage of Promoters minus the percentage of Detractors.
For example, if 200 customers respond and 100 are Promoters (50%), 60 are Passives (30%), and 40 are Detractors (20%), NPS = 50% - 20% = 30.
Passives are excluded from the calculation because they are considered neutral. They are neither driving referrals nor actively discouraging them. However, Passives represent an opportunity: they are the group most likely to be moved into the Promoter category with targeted improvements.
Best practice is to follow the NPS question with an open-ended question: "What is the primary reason for your score?" This qualitative data is where the actionable insights live. The number tells you how customers feel. The verbatim responses tell you why.
| Category | Score range | Behaviour |
|---|---|---|
| Promoters | 9 to 10 | Loyal enthusiasts who refer others and drive organic growth |
| Passives | 7 to 8 | Satisfied but unenthusiastic. Vulnerable to competitive offers |
| Detractors | 0 to 6 | Unhappy customers who may churn and discourage others |
NPS in a metric tree
NPS is an outcome metric that reflects the combined quality of product, customer experience, support, and value delivery. In a metric tree, it decomposes into the factors that drive customer satisfaction and loyalty.
The tree reveals that NPS is driven by multiple functional areas: product quality, customer support, perceived value, and onboarding effectiveness. Improving NPS requires understanding which branch is weakest. If Detractors consistently cite support issues, improving first response time will have more impact than adding product features. If they cite price, the issue is value perception or pricing, not product quality.
The tree also shows why NPS is a cross-functional metric that cannot be owned by a single team. Product, support, customer success, and even sales (which sets expectations during the buying process) all influence the score.
NPS benchmarks by industry
| Industry | Average NPS | Top quartile |
|---|---|---|
| B2B SaaS | 30 to 40 | 50+ |
| E-commerce | 35 to 45 | 60+ |
| Financial services | 20 to 35 | 50+ |
| Healthcare | 25 to 40 | 55+ |
| Telecommunications | 0 to 20 | 30+ |
| Airlines | 10 to 30 | 45+ |
NPS benchmarks vary dramatically by industry. A score of 30 is excellent in telecommunications but average in SaaS. Always benchmark against your specific industry, not against an absolute standard.
How to improve NPS
- 1
Close the loop with Detractors
Contact every Detractor to understand their specific issue and resolve it. "Closing the loop" often converts Detractors into Passives or even Promoters, and provides direct insight into what needs fixing.
- 2
Analyse verbatim responses for themes
Categorise the open-ended follow-up responses to identify recurring themes. If 30% of Detractors mention the same issue, that issue is the highest-priority fix for improving NPS.
- 3
Improve time to value in onboarding
Customers who achieve their first success quickly are more likely to become Promoters. Reducing time to value through streamlined onboarding, templates, guided workflows, and proactive help gives new customers the best chance of reaching their goals.
- 4
Invest in product reliability
Nothing creates Detractors faster than downtime, bugs, and data loss. Reliability is a prerequisite for high NPS. Customers will tolerate missing features but will not tolerate a product that does not work.
- 5
Set realistic expectations during sales
NPS measures the gap between expectations and experience. If sales over-promises capabilities or outcomes, even a good product will disappoint. Align sales messaging with what the product actually delivers.
Common mistakes with NPS
Treating NPS as the only customer metric
NPS measures intent to recommend but not satisfaction, effort, or actual behaviour. Complement NPS with CSAT (satisfaction), CES (effort), and retention rate metrics for a complete picture.
Surveying only happy customers
Sending NPS surveys only to engaged, active users inflates the score. Survey a representative sample including less-active users to get an honest picture.
Obsessing over the number instead of the feedback
The NPS score tells you the direction. The qualitative responses tell you what to do. Teams that focus on moving the number without reading the verbatim feedback miss the point entirely.
Not segmenting NPS
An overall NPS of 35 might hide enterprise customers at 50 and SMB customers at 15. Segment by customer size, tenure, product usage, and persona to find where the experience is failing.
Related metrics
Customer Satisfaction Score
CSAT
Product MetricsMetric Definition
CSAT = (Satisfied Responses / Total Responses) × 100
Customer satisfaction score measures how satisfied customers are with a specific interaction, product, or experience. Unlike NPS which measures loyalty, CSAT captures satisfaction at a moment in time, making it ideal for evaluating specific touchpoints in the customer journey.
Customer Effort Score
CES
Product MetricsMetric Definition
CES = Sum of All Effort Ratings / Number of Responses
Customer effort score measures how much effort a customer had to exert to accomplish a goal with your product or service. Research shows that reducing effort is more predictive of customer loyalty than increasing satisfaction, making CES a powerful complement to NPS and CSAT.
Retention Rate
Product MetricsMetric Definition
Retention Rate = (Users Active at End of Period / Users Active at Start of Period) × 100
Retention rate measures the percentage of users or customers who continue to use your product over a given period. It is the most important growth metric because sustainable growth is impossible when users leave faster than they arrive.
Churn Rate
Metric Definition
Customer loss rate
Connect NPS to the drivers that move it
Build a metric tree that decomposes NPS into product quality, support experience, value perception, and onboarding effectiveness so you can see exactly what to improve.