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.

Key Facts
  • Introduced by: Fred Reichheld, 2003
  • Scale: 0 to 10
  • Score range: -100 to +100
  • Formula: % Promoters minus % Detractors
  • Promoters: Score 9 to 10
  • Passives: Score 7 to 8 (not included in calculation)
  • Detractors: Score 0 to 6
0 to 6
Detractors
Unhappy customers who may discourage others from using the company
7 to 8
Passives
Satisfied but not enthusiastic, vulnerable to competitive offers
9 to 10
Promoters
Loyal customers who actively recommend the company to others

How is NPS calculated?

NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters. Passives are excluded from the calculation entirely.

NPS Formula
% Promoters − % Detractors
Result ranges from -100 (all Detractors) to +100 (all Promoters)

Example: If 60% of respondents are Promoters and 15% are Detractors, the NPS is 60 - 15 = 45.

What is a good NPS score?

NPS rangeGeneral interpretation
Below 0More Detractors than Promoters, needs attention
0 to 30Acceptable, room for improvement
30 to 50Good, above average in most industries
50 to 70Excellent, strong customer loyalty
Above 70World-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.

What are the 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.

How does NPS compare to 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. Unlike NPS, oCX does not depend on survey participation, which means it covers the full customer base rather than the fraction willing to respond. Learn more about oCX and how it complements or replaces NPS in modern CX programs.

How does NPS differ from CSAT and CES?

NPS, CSAT, and CES each measure a different dimension of customer experience. Using all three together gives a more complete picture than any single metric alone.

MetricQuestion askedBest used for
NPSHow likely to recommend?Overall loyalty and relationship tracking
CSATHow satisfied were you?Measuring a specific interaction or transaction
CESHow easy was it?Identifying friction in processes and support

Frequently Asked Questions

What is Net Promoter Score (NPS)?
Net Promoter Score (NPS) is a customer loyalty metric calculated by asking customers how likely they are to recommend a company on a scale of 0 to 10. Respondents are grouped into Promoters (9-10), Passives (7-8), and Detractors (0-6). NPS equals the percentage of Promoters minus the percentage of Detractors, producing a score between -100 and +100. It was introduced by Fred Reichheld in 2003 and is now the most widely used customer experience metric globally.
What is a good NPS score?
NPS scores range from -100 to +100. A score above 0 is generally considered acceptable, above 50 is considered excellent, and above 70 is considered world-class. However, what counts as a good NPS score varies significantly by industry. A score of 30 may be strong in banking but only average in consumer tech. Always compare against industry-specific benchmarks rather than a universal standard.
What are the limitations of NPS?
NPS has several well-documented limitations. It tells you what customers rate but not why, so a dropping score requires additional analysis to understand the root cause. It only captures feedback from customers who respond to the survey, typically 10 to 30% of the total, leaving the majority of sentiment uncaptured. Scores can also be influenced by when the survey is sent, cultural differences in how people use rating scales, and teams gaming the metric by coaching customers rather than fixing underlying problems.
How is NPS calculated?
NPS is calculated by subtracting the percentage of Detractors (respondents scoring 0-6) from the percentage of Promoters (respondents scoring 9-10). Passives (7-8) are excluded from the calculation entirely. For example, if 60% of respondents are Promoters and 15% are Detractors, the NPS is 60 minus 15, which equals 45.
How does NPS compare to oCX?
NPS only captures feedback from customers who respond to a survey, which is typically a small and self-selected group. Observational Customer Experience (oCX), developed by Alterna CX, measures customer satisfaction based on all available feedback including reviews, social media posts, and contact center interactions, without requiring a survey response. This gives a broader and more representative picture of how customers actually feel, making oCX a complement or alternative to NPS for companies that want to capture the full voice of their customer base.
What is the difference between NPS, CSAT, and CES?
NPS (Net Promoter Score) measures overall loyalty by asking how likely customers are to recommend the company. CSAT (Customer Satisfaction Score) measures satisfaction with a specific interaction or transaction. CES (Customer Effort Score) measures how easy it was for a customer to complete a task or get support. Each metric serves a different purpose: NPS for relationship tracking, CSAT for interaction quality, and CES for identifying friction in processes.