What Is Net Promoter Score (NPS)? How to Calculate and Improve It
Net Promoter Score (NPS) is a customer loyalty metric that measures how likely customers are to recommend a product or company to others. It was developed by Fred Reichheld at Bain & Company in 2003 and has since become one of the most widely used customer satisfaction benchmarks across industries.
The power of NPS lies in its simplicity: a single question — “On a scale of 0 to 10, how likely are you to recommend us to a friend or colleague?” — generates a score that serves as a reliable indicator of overall customer sentiment and long-term business health.
How NPS Works
Respondents are classified into three groups based on their rating:
- Promoters (9–10) — Highly satisfied customers who are likely to actively recommend the product and contribute to organic growth
- Passives (7–8) — Satisfied but not enthusiastic customers who are unlikely to recommend proactively and are vulnerable to competitive offers
- Detractors (0–6) — Dissatisfied customers who may actively discourage others from using the product and contribute to churn
How to Calculate NPS
NPS = % Promoters − % Detractors
Passives are excluded from the calculation. The result is a number between −100 (all detractors) and +100 (all promoters).
Example: If 60% of respondents are Promoters and 15% are Detractors, the NPS is 45.
What Constitutes a Good NPS?
NPS benchmarks vary significantly by industry, making cross-industry comparisons misleading. Within an industry, a score above 0 indicates more promoters than detractors; above 50 is generally considered excellent; above 70 is exceptional. More important than any absolute score is the trend over time — whether NPS is improving or declining.
When to Use NPS Surveys
NPS can be deployed at multiple points in the customer lifecycle:
- After initial product activation — To capture first impressions and onboarding quality
- At key milestones — 30, 60, or 90 days after signup, when the customer has enough experience to form a considered opinion
- After significant interactions — Post-support ticket, post-renewal, or following a major product change
- At regular intervals — Quarterly or annual relationship NPS surveys track overall loyalty trends
Transactional vs. Relationship NPS
Transactional NPS is triggered by a specific interaction — a support call, a purchase, a feature activation. It measures the customer’s reaction to that specific experience.
Relationship NPS is sent on a regular schedule, independent of any specific interaction. It measures overall satisfaction with the product and company relationship.
Both serve useful purposes and complement each other.
The Importance of Follow-Up Questions
The NPS score alone tells you what customers think, not why. A follow-up open-text question — “What’s the primary reason for your score?” — is essential for turning NPS data into actionable product insights.
Without this qualitative context, a declining NPS score reveals a problem but provides no direction for solving it.
How to Improve NPS
Close the Loop on Detractor Feedback
Reach out directly to detractors to understand their concerns and, where possible, resolve them. Beyond retaining individual customers, this creates a feedback loop that identifies systemic product or service issues.
Activate and Leverage Promoters
Promoters are underutilized assets. Ask them for referrals, testimonials, case studies, or participation in advisory boards. Their advocacy is more credible than any marketing message.
Fix the Root Causes of Dissatisfaction
Aggregate detractor feedback to identify the most common reasons for low scores. These patterns — whether in onboarding, reliability, missing features, or support quality — are the highest-priority opportunities for NPS improvement.
Track NPS by Segment
An average NPS score can mask dramatically different experiences across customer segments. Breaking NPS down by plan tier, industry, company size, or customer tenure reveals where satisfaction is strong and where it needs work.
Key Takeaways
NPS is one of the most efficient tools available for measuring customer loyalty at scale. Used consistently, tracked over time, and paired with qualitative follow-up, it provides product teams with a reliable signal of overall customer health and a lagging indicator of whether product decisions are creating or destroying customer value.