NPS (Net Promoter Score) is a user-satisfaction metric calculated from a single survey question: "On a scale of 0 to 10, how likely are you to recommend this app to a friend or colleague?" Users are classified by response: Promoters (9-10), Passives (7-8), Detractors (0-6). NPS = % Promoters − % Detractors. The score ranges from -100 (everyone is a Detractor) to +100 (everyone is a Promoter).
Mobile app NPS benchmarks (2026 anchors):
- -10 to 10: weak — significant dissatisfaction, churn risk high.
- 10 to 30: average — typical for many consumer apps.
- 30 to 50: good — strong satisfaction, healthy retention.
- 50 to 70: excellent — passionate users, organic word-of-mouth.
- Above 70: world-class — typically only the most loved consumer apps (Apple products, Tesla, top-tier mobile apps like Spotify, Notion).
Compare to your own historical trend and category peers — cross-category comparisons mislead because category satisfaction patterns differ.
When NPS is useful
- Tracking satisfaction trends over time — a rising NPS suggests improving product; falling suggests problems even before they show in churn.
- Comparing across features / releases — does the new redesign lift NPS? Lower? Track around launches.
- Identifying detractors — Detractor cohort retention curves usually drop hardest. NPS surveys identify them; targeted follow-up can recover some.
- Benchmarking externally — NPS is a common metric across companies and industries, useful for board reporting and external comparison.
Limitations of NPS as a sole metric
- Doesn't predict revenue reliably — high-NPS apps don't always grow faster than mid-NPS apps. Depends on category and business model.
- Cultural bias — Japanese users rarely rate 9-10 even for great products; Americans rate 10s freely. NPS skews by geo / culture.
- Survey-only signal — captures stated intent ("would recommend") not revealed behavior ("actually recommended"). Stated intent overstates actual referrals.
- Sensitive to sample bias — NPS taken right after a great experience differs from NPS at random sample times.
- Single dimension — masks underlying drivers. A 50 NPS could come from 70/30 Promoter/Detractor split or from a different mix; you need follow-up "why" questions.
Most mature mobile apps use NPS alongside other satisfaction metrics: feature-specific surveys, CSAT (customer satisfaction) for specific interactions, retention metrics as the ultimate satisfaction signal.