Net Promoter Score
Also known as: NPS, Net Promoter System
Net Promoter Score (NPS) is a customer loyalty and satisfaction metric developed by Fred Reichheld in 2003, measured through a single question: How likely is it that you would recommend our company/product/service to a friend or colleague? The metric categorizes respondents into promoters, passives, and detractors, providing a straightforward indicator of customer advocacy and business growth potential.
Key highlights
- Single-question simplicity makes it easy to deploy, understand, and communicate across organizations and stakeholders
- Strong correlation with revenue growth and market share in many industries, providing business-relevant outcomes
- Enables standardized benchmarking across competitors and industry peers, facilitating competitive positioning
- Open-ended follow-up provides qualitative insight into why customers would or would not recommend, revealing specific improvement opportunities
Intuition
This section is available to Pro members. Upgrade to Pro
How it works
This section is available to Pro members. Upgrade to Pro
When to use it
Implement NPS when you need a simple, standardized metric to track customer satisfaction and loyalty over time, especially for publicly comparable benchmarking. It works across industries and company sizes. Use it for overall company performance, specific product versions, or particular customer experiences (onboarding, support, renewal). NPS is less effective for exploring detailed satisfaction drivers; use it alongside qualitative research or detailed satisfaction surveys for deeper insights.
Strengths & limitations
- Single-question simplicity makes it easy to deploy, understand, and communicate across organizations and stakeholders
- Strong correlation with revenue growth and market share in many industries, providing business-relevant outcomes
- Enables standardized benchmarking across competitors and industry peers, facilitating competitive positioning
- Open-ended follow-up provides qualitative insight into why customers would or would not recommend, revealing specific improvement opportunities
- The 9-10 threshold for promoters is arbitrary; research shows recommendation intent may not always align with strict 0-10 scoring
- NPS does not capture detailed satisfaction across specific dimensions (quality, price, support); companies using only NPS may miss important feedback
- A single question is insufficient to drive deep understanding of customer needs or preferences; interpretation requires complementary methods
- Response rates and survey timing bias may skew results, especially if surveyed immediately after a transaction vs. weeks later
Common pitfalls
This section is available to Pro members. Upgrade to Pro
Applications
This section is available to Pro members. Upgrade to Pro
Frequently asked
What is a good NPS score?
Industry benchmarks vary widely. In software and technology, scores above 50 are considered excellent; in financial services or healthcare, average is 30-50. World-class companies (Amazon, Apple, Tesla) often exceed 70. Rather than focusing on absolute score, track trend over time: a rising NPS indicates improving customer satisfaction and advocacy.
Should we use NPS for all customer segments?
Yes, but segment the data in analysis. Segmenting by customer type, purchase size, or usage level often reveals that some groups are natural promoters (e.g., large enterprise customers) while others are naturally more critical (e.g., price-sensitive segments). NPS comparison across these groups is less meaningful than understanding each group's drivers separately.
How often should we survey for NPS?
Quarterly or semi-annual surveys are common for tracking trends and spotting changes. Monthly surveys are useful for high-velocity companies or product-heavy organizations where changes happen rapidly. Real-time feedback (post-transaction surveys) can surface immediate issues but may bias responses toward recent experiences.
Can NPS be gamed or artificially inflated?
Yes. Surveying only satisfied customers, asking biased questions, or offering incentives only to high-rating respondents inflates scores. To maintain integrity, use randomized sampling of all customers, consistent timing relative to experiences, and neutral question wording. Track respondent composition to ensure consistency.
Sources
- 1.Reichheld, F. F. (2003). The One Number You Need to Grow. Harvard Business Review, 81(12), 46-54.
- 2.Reichheld, F. F. (2006). The Ultimate Question: Driving Good Profits and True Growth. Harvard Business School Press.ISBN 978-1591397298
- 3.Keiningham, T. L., Cooil, B., Aksoy, L., & Andreassen, T. W. (2007). A Longitudinal Examination of Net Promoter and Firm Financial Performance. Journal of Marketing Research, 44(3), 468-482.
You have read it. What now?
Cite this page
ScholarGate. (2026, June 3). Net Promoter Score. ScholarGate. https://scholargate.app/marketing/net-promoter-score