NPS
Also known as: Net Promoter Score, Customer loyalty score
Quick definition
NPS (Net Promoter Score) is a customer-loyalty metric calculated from a single survey question: 'How likely are you to recommend [product/brand] to a friend?' on a 0-10 scale. Responses split into Promoters (9-10), Passives (7-8), and Detractors (0-6); NPS = % Promoters - % Detractors. Range: -100 to +100; NPS > 50 is considered excellent.
What is NPS?
NPS (Net Promoter Score) is a customer-loyalty metric introduced by Fred Reichheld in his 2003 Harvard Business Review article 'The One Number You Need to Grow'. The metric is calculated from a single survey question: 'On a scale of 0-10, how likely are you to recommend [product/brand] to a friend or colleague?'. Response classification. (1) Promoters (score 9-10) — loyal enthusiasts who actively recommend. (2) Passives (score 7-8) — satisfied but unenthusiastic. (3) Detractors (score 0-6) — unhappy customers who can damage brand via negative word-of-mouth.
The NPS calculation: percentage of Promoters minus percentage of Detractors. Passives don't count. Range: -100 (all detractors) to +100 (all promoters). Industry benchmarks. NPS > 50 = excellent. NPS 30-50 = good. NPS 0-30 = needs improvement. NPS < 0 = serious problems. NPS varies dramatically by industry; SaaS averages NPS 30-40; consumer brands often higher.
NPS in social media context
NPS shows up in social media contexts in two ways. (1) Brand health correlation — NPS surveys reveal how the brand's customer base feels; this should align with social-listening sentiment metrics. Big NPS / sentiment divergence reveals problems. (2) Promoter-driven word-of-mouth — Promoters (NPS 9-10) generate the bulk of organic word-of-mouth referrals. Brands use NPS data to identify top promoters, encourage them to share, and amplify their advocacy via UGC programs.
For SaaS / B2B brands specifically, NPS is a leading indicator of growth. High NPS = high referral rate = lower CAC + higher LTV. Track NPS quarterly; investigate when it shifts; tie it to product / service improvements directly.
Common pitfalls
- ×Treating NPS as standalone metric — context (industry benchmark, trend over time) matters more than raw number
- ×Surveying only happy customers — biases NPS upward, masks real problems
- ×Asking NPS without follow-up open-ended question — miss qualitative insights
- ×Comparing NPS across companies in different industries — benchmarks vary dramatically
- ×Optimizing NPS at the expense of other metrics — high NPS with low growth is not strategic success
Tips
- ✓Always pair NPS with open-ended 'why?' question — qualitative beats quantitative for insight
- ✓Track NPS over time, not absolute number — trend reveals improvement or decline
- ✓Benchmark against industry average — varies widely (SaaS 30-40, healthcare 30-40, retail 20-30)
- ✓Use Detractors' feedback for service improvement — they're the loudest critics
- ✓Identify Promoters + activate them as advocates — UGC programs, referrals, testimonials
Frequently asked questions
What's a good NPS score?+
Industry-dependent. > 50 is excellent across most categories. > 30 is good. < 0 is serious problems. Compare to your industry benchmark, not absolute number.
How often should I measure NPS?+
Quarterly is standard. Some companies measure continuously (post-purchase, post-support-interaction). Match cadence to decision-making frequency.
Why does NPS only count Promoters minus Detractors?+
Passives are theoretically neutral — they won't actively promote or detract. The metric is designed to focus on the polarized ends, not the middle. Critics argue this discards useful information; defenders say it's the metric's strength.
Is NPS measurable for content / creator businesses?+
Yes — surveys to followers / customers / course buyers measure same underlying loyalty signal. Smaller scale than enterprise NPS but the methodology transfers.
Are there alternatives to NPS?+
Yes — CSAT (Customer Satisfaction), CES (Customer Effort Score), retention rate. Each measures different aspects. NPS specifically captures referral likelihood / brand loyalty.
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