Measure customer loyalty with precision. Enter the count of Promoters (9-10), Passives (7-8), and Detractors (0-6) to compute NPS, visualize the distribution, and get actionable insights.
Developed by Fred Reichheld at Bain & Company (2003), NPS measures customer loyalty with a single question: "How likely are you to recommend our product/service to a friend or colleague?" Scored 0-10, it segments respondents into Promoters (9-10), Passives (7-8), and Detractors (0-6). The NPS score, ranging from -100 to +100, is a powerful predictor of organic growth and customer retention. Leading global brands — from Apple to Amazon — rely on NPS to drive customer-centric strategy.
NPS Formula
NPS = (% of Promoters) – (% of Detractors)
Passives are counted only in the denominator; they do not affect the score directly.
A mid-sized project management tool tracked NPS quarterly: initial score 22 (Promoters 38%, Detractors 16%). By analyzing detractor feedback, they improved onboarding and support response times. Within 6 months, NPS rose to 52, and annual recurring revenue (ARR) grew 34%. The calculator above helps replicate such diagnostics by modeling changes in promoter/detractor distribution.
| NPS Range | Interpretation | Strategic Implication |
|---|---|---|
| 70 – 100 | Excellent / World-class | Strong organic growth, brand advocates. Defend & scale delight. |
| 50 – 69 | Good / Strong | Healthy loyalty; focus on reducing friction for passives. |
| 0 – 49 | Needs Improvement | Moderate risk; address detractor pain points aggressively. |
| -100 – -1 | Critical / Poor | Customer experience crisis — urgent transformation needed. |
Despite wide adoption, experts recommend pairing NPS with qualitative follow-ups. Reichheld’s original research found that NPS explains 20-60% of variation in company growth rates across industries. Nonetheless, cultural contexts and survey fatigue may affect responses. For robust insights, combine NPS with Customer Effort Score (CES) and Customer Satisfaction (CSAT). This calculator provides a rigorous, unbiased computation of the core metric – empowering you to iterate on customer feedback loops.