What is Net Promoter Score (NPS)?
Net Promoter Score (NPS) is a customer loyalty metric that measures how likely customers are to recommend a company, product, or service to others, on a scale from 0 to 10.
Overview
NPS was introduced by Fred Reichheld in 2003 and quickly became the most widely used customer experience metric in the world. Its appeal is simplicity: one question, one score, one number that can be tracked over time and benchmarked against competitors.
The standard NPS question is: "On a scale of 0 to 10, how likely are you to recommend us to a friend or colleague?"
Respondents are grouped into three categories based on their answer.
How NPS is calculated
NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters. Passives are excluded from the calculation entirely.
Example: If 60% of respondents are Promoters and 15% are Detractors, the NPS is 60 - 15 = 45.
NPS benchmarks
| NPS range | General interpretation |
|---|---|
| Below 0 | More Detractors than Promoters, needs attention |
| 0 to 30 | Acceptable, room for improvement |
| 30 to 50 | Good, above average in most industries |
| 50 to 70 | Excellent, strong customer loyalty |
| Above 70 | World-class, rare and highly competitive |
NPS benchmarks vary significantly by industry. A score of 30 may be strong in banking but average in consumer tech. Always compare against industry-specific benchmarks rather than a universal standard.
Limitations of NPS
NPS is useful as a high-level indicator but has well-documented limitations that CX teams need to understand:
- No root cause: NPS tells you what customers score but not why. A dropping score requires additional analysis to understand the cause.
- Low response rates: Typically only 10 to 30% of customers respond to NPS surveys, leaving the majority of sentiment uncaptured.
- Timing bias: Scores vary depending on when the survey is sent relative to the customer interaction.
- Cultural variation: Customers in different regions score surveys differently. A 7 may mean satisfaction in some cultures and near-failure in others.
- Gamification risk: Teams focused on NPS scores may coach customers to give higher ratings rather than fixing underlying issues.
Key takeaway: NPS is a useful leading indicator but not a complete CX measurement strategy. It works best when combined with open-ended feedback, review analysis, and contact center data that explain the reasons behind the score.
NPS vs oCX
One of the core limitations of NPS is that it only captures feedback from customers who respond to a survey, typically a small and self-selected group. Observational Customer Experience (oCX), developed by Alterna CX, measures satisfaction based on all available customer feedback including reviews, social media, and contact center interactions, regardless of whether a customer filled out a survey.
This gives a much broader and more representative picture of how customers actually feel. Learn more about oCX and how it complements or replaces NPS.
NPS vs CSAT vs CES
| Metric | Question asked | Best used for |
|---|---|---|
| NPS | How likely to recommend? | Overall loyalty and relationship tracking |
| CSAT | How satisfied were you? | Measuring a specific interaction or transaction |
| CES | How easy was it? | Identifying friction in processes and support |
Related concepts
- Customer Effort Score (CES)
- CSAT
- Observational Customer Experience (oCX)
- Voice of Customer (VoC)
- Customer experience analytics
- Introducing oCX: an alternative to NPS