Why Net Promoter Score matters
A higher score means promoters outweigh detractors by a wider margin. A lower score warrants reading the written feedback and checking response mix before drawing conclusions.
- Business question
- How willing are surveyed customers to recommend us, and how is that sentiment moving?
- Teams that use it
- Customer experience, marketing, product, service, and leadership teams.
- Decisions it supports
- Experience research, customer follow-up, product priorities, and segment-level loyalty analysis.
Net Promoter Score formula
% Promoters − % Detractors
Formula components
- Promoters
- Respondents who select 9 or 10 on the recommendation scale.
- Detractors
- Respondents who select from 0 through 6.
- Passives
- Respondents who select 7 or 8. They count in the survey total but not directly in the subtraction.
- NPS scale
- The resulting score ranges from −100 to +100; it is a score, not a percentage.
How to calculate Net Promoter Score
- Ask the standard recommendation question and collect 0–10 responses from the intended population.
- Classify responses as promoters, passives, or detractors.
- Calculate promoters and detractors as percentages of all valid responses.
- Subtract detractor percentage from promoter percentage.
Net Promoter Score example
A company receives 500 valid survey responses: 310 promoters, 120 passives, and 70 detractors.
- Promoters = 310 ÷ 500 × 100 = 62%.
- Detractors = 70 ÷ 500 × 100 = 14%.
- NPS = 62 − 14 = 48.
Net Promoter Score is +48.
Promoters represent 48 percentage points more of the surveyed group than detractors. The score does not explain why, so comments and segment cuts still matter.
How to interpret the result
Trend the score with response count, response rate, collection channel, and customer segment. A change in who answered can move NPS even when underlying sentiment is stable.
Benchmarks differ by industry, geography, relationship stage, survey timing, and survey method. Use a consistent internal baseline and compare genuinely similar populations.
Common mistakes and limitations
- Calling NPS a percentage
- It is the difference between two percentages and can be negative.
- Changing the survey moment
- Post-support and relationship surveys capture different experiences.
- Ignoring response bias
- Respondents may not represent the full customer base.
- Using only the score
- Written reasons and operational data are needed to decide what to change.