Net Promoter Score (NPS)

Net Promoter Score (NPS) is a customer loyalty metric that measures how likely customers are to recommend a product or service to others, based on a single 0–10 scale question.

Net Promoter Score (NPS) is a one-question survey metric: "On a scale of 0–10, how likely are you to recommend [product] to a friend or colleague?" Responses fall into three groups:

  • Promoters (9–10) — Highly satisfied, likely to recommend and expand
  • Passives (7–8) — Satisfied but unenthusiastic; at risk of switching
  • Detractors (0–6) — Unhappy customers who may actively discourage others

NPS = % Promoters − % Detractors

The result ranges from −100 to +100. A score above 0 is generally positive; above 50 is strong; above 70 is considered excellent for most industries.

Why NPS Matters for Growth

NPS predicts customer behavior more directly than generic satisfaction scores. Promoters:

  • Renew at higher rates than passives or detractors
  • Expand their usage through upsells and additional seats
  • Generate word-of-mouth referrals that reduce customer acquisition cost

Detractors are churn risks and can negatively influence prospects who are evaluating the product — particularly important in B2B markets where peer reviews carry significant weight.

NPS and Conversion Rate Optimization

NPS is an outcome metric — it reflects the cumulative effect of every experience a customer has had. CRO influences it indirectly: better onboarding, clearer value communication, and reduced friction at key moments all contribute to higher satisfaction and, over time, more promoters.

Some teams use NPS as a guardrail metric in A/B tests — ensuring that an optimization improving short-term conversion rate doesn't quietly degrade the customer experience in ways that increase churn or reduce referrals.

Limitations

  • Lagging indicator — NPS reflects past experience; by the time it drops, problems have already occurred
  • Single-question simplicity — Without a follow-up open-text question, NPS tells you that customers are unhappy but not why
  • Response bias — Customers with a strong reaction (positive or negative) respond at higher rates than satisfied-but-disengaged customers
  • Industry variance — A score of 30 can be excellent in financial services and weak in consumer apps; benchmarking requires industry-specific comparisons

Getting More Value from NPS

Segment by cohort: acquisition source, plan tier, tenure, or use case. Patterns by segment reveal actionable problems more reliably than the aggregate score. A drop in NPS among users who signed up via paid search, for example, might indicate a message mismatch between ad and product — a CRO problem, not a product problem.