What is Net Promoter Score (NPS)?
Net Promoter Score (NPS) is a customer loyalty metric that measures how likely customers are to recommend a product, service, or brand to others, expressed as a single numeric score ranging from -100 to +100. Developed by Fred Reichheld and introduced in a 2003 Harvard Business Review article, it has since become one of the most widely used indicators of customer satisfaction and long-term business health.
The measurement is built around a single survey question: "On a scale of 0 to 10, how likely are you to recommend us to a friend or colleague?" Based on their responses, customers are grouped into three categories. Those who answer 9 or 10 are called Promoters - loyal enthusiasts who are likely to fuel growth through referrals. Those who answer 7 or 8 are Passives, satisfied but not enthusiastic enough to actively advocate. Those who answer 0 to 6 are Detractors, customers who are unhappy and may discourage others from engaging with the brand.
The final NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters. Passives are excluded from the formula. A score above 0 indicates that a business has more advocates than critics, while scores above 50 are generally considered excellent. Scores can vary significantly by industry, so comparing NPS against sector benchmarks is often more meaningful than looking at the raw number in isolation.
NPS is closely related to other customer-focused metrics. A high proportion of Detractors, for instance, tends to correlate with an elevated Churn Rate, as dissatisfied customers are more likely to cancel or stop purchasing. Tracking NPS at different stages of the Customer Journey can reveal where loyalty is being built or eroded, while the Engagement Rate of follow-up surveys can affect how representative the collected responses actually are.
One of the reasons NPS has been so widely adopted is its simplicity. A single question produces a comparable, trackable number that can be monitored over time and communicated across teams without requiring deep analytical expertise. However, critics note that NPS alone does not explain why customers feel the way they do. For this reason, most organizations pair the core question with an open-ended follow-up asking customers to explain their score, transforming a quantitative signal into actionable qualitative insight.
Used thoughtfully, NPS serves as an early warning system for customer dissatisfaction and a reliable proxy for organic growth potential. It is most valuable when measured consistently, segmented by customer type or product line, and treated as a starting point for deeper investigation rather than a definitive verdict on business performance.