NPS: Customer Loyalty Index
Updated: Jan 10, 2026 Reading time ≈ 4 min
Net Promoter Score (NPS) is a widely used metric for measuring customer loyalty and long-term brand advocacy. It is based on a single standardized question:
"How likely are you to recommend our company, product, or service to a friend or colleague?"
Responses are collected on a scale from 0 (not at all likely) to 10 (extremely likely). Based on their answers, respondents are grouped into three segments:
Promoters (9–10)
Highly satisfied and loyal customers who actively recommend the brand and contribute to organic growth through referrals and repeat usage.
Passives (7–8)
Satisfied but unenthusiastic customers. While not unhappy, they are vulnerable to competitors and do not actively promote the brand.
Detractors (0–6)
Dissatisfied customers who may negatively influence brand perception and increase reputational risk.
Unlike simple satisfaction metrics, NPS focuses on behavioral loyalty and advocacy intent, making it a core indicator of customer loyalty.
What NPS Is Used For
NPS is used as a strategic metric across customer experience, marketing and growth teams.
Measuring loyalty beyond satisfaction
While satisfaction reflects how customers feel at a given moment, NPS estimates how likely they are to recommend the brand - an indicator closely linked to future growth. This makes NPS complementary to CSAT, but not interchangeable with it.
Identifying churn risk
A high proportion of detractors often correlates with increased churn rate, making NPS an early-warning signal for retention problems.
Benchmarking and competitive analysis
Because NPS uses a standardized question and scale, it enables comparisons across products, markets, and competitors - both internally over time and externally within industries.
Supporting growth forecasting
Promoters are more likely to repurchase and refer to others, directly influencing customer lifetime value (LTV) and sustainable growth.
Improving customer experience
Open-ended follow-up questions attached to NPS surveys help teams identify friction points across the customer journey and prioritize improvements based on real feedback.
How NPS Is Calculated
The NPS formula is simple and consistent across industries:
NPS = (% of Promoters) − (% of Detractors)
Passives are excluded from the calculation but remain important for qualitative analysis.
Example
Survey responses from 100 customers:
- Promoters: 70
- Passives: 20
- Detractors: 10
Calculations:
- % Promoters = 70%
- % Detractors = 10%
NPS = 70 − 10 = 60
An NPS of 60 is generally considered strong and indicates a healthy base of loyal customers.
NPS scores range from −100 (all detractors) to +100 (all promoters).
General Methodology of NPS Surveys
A reliable NPS program requires consistency and thoughtful execution.
First, define the purpose of measurement - transactional NPS (after a support interaction or purchase) or relational NPS (overall brand perception).
Second, deploy the core question at the right moment in the customer journey to ensure relevance and accuracy.
Third, collect qualitative feedback alongside the score to understand why customers chose their rating. This strengthens research validity.
Fourth, segment results by customer type, product, or cohort to uncover patterns. Combining NPS with cohort analysis reveals how loyalty evolves over time.
Finally, close the feedback loop by acting on insights - especially by following up with detractors and acknowledging promoters.
What Is a Normal NPS Score?
"Normal" NPS values depend heavily on industry, region, and customer expectations.
General interpretation guidelines:
- Below 0 – Loyalty risk zone; more detractors than promoters
- 0–30 – Acceptable baseline in many industries
- 30–70 – Strong customer loyalty
- 70+ – Exceptional loyalty, typical of category leaders
Because benchmarks vary widely, trends over time are more important than absolute values. A steadily improving NPS is often a stronger signal than a high but stagnant score.
NPS vs Related Metrics
NPS works best when interpreted alongside other customer metrics.
NPS vs Retention. NPS measures intent to recommend, while retention measures actual behavior. High NPS does not automatically guarantee high retention.
NPS vs VOC. NPS provides a concise loyalty signal, while Voice of the Customer (VOC) delivers richer qualitative insight into expectations and pain points.
NPS vs FCR / TTR. Operational service metrics like First Contact Resolution and Time to Resolution influence NPS indirectly by shaping customer perceptions of support quality.
How to Improve NPS
Improving NPS requires coordinated, cross-functional effort.
- Use customer feedback to prioritize product and service improvements
- Reduce friction across onboarding, purchasing and support journeys
- Resolve issues quickly and transparently to prevent detractor escalation
- Empower support teams with training and clear escalation paths
- Engage promoters with loyalty programs and referral incentives
- Monitor NPS regularly and act on trends, not just snapshots
Most importantly, treat NPS not as a reporting metric, but as a decision-making tool that connects customer feedback to real operational and product changes.
Final Thoughts
NPS remains popular because of its simplicity - but its real value lies in how it is used. On its own, NPS is just a number. When combined with retention data, behavioral metrics, and qualitative feedback, it becomes a powerful signal of long-term customer health.
Teams that succeed with NPS:
- track trends, not isolated scores
- listen to feedback, not just ratings
- connect loyalty insights to real action
That's where NPS delivers its true business impact.
Updated: Jan 10, 2026 Published: May 31, 2025
Mike Taylor