NPS Score
Definition
Net Promoter Score — % of survey respondents who are promoters (score 9–10) minus % detractors (0–6), passives (7–8) excluded. Per the original NPS methodology (Reichheld, Bain & Company, 2003). The score ranges from −100 to +100. The board reads NPS as one read on product-market fit and word-of-mouth potential, not as a precise customer-loyalty measurement — the methodology is well-known for being sensitive to sample bias, response rate, and survey timing. Common pitfall: comparing NPS across companies without normalizing for industry — B2B SaaS NPS distributions sit much higher than consumer-app NPS, and the absolute number means little without a peer cohort.
Why it matters
A coarse-grained directional read on customer affection and word-of-mouth potential. Sustained movement (especially regressions) is the signal the board should focus on, not absolute values — the methodology is too noisy for fine comparisons across companies.
How it's calculated
NPS = (% promoters, score 9–10) − (% detractors, score 0–6). Passives (7–8) are excluded from both. Range: −100 to +100. Per Bain & Company / Reichheld NPS methodology (HBR 2003, "The One Number You Need to Grow"). How to interpret it
Per Retently NPS Benchmarks 2025, B2B SaaS NPS medians by industry cluster around the +30 to +50 band, with top-quartile +50 to +70. Translate scores to categories: −100 to 0 = needs work, 0–30 = good, 30–70 = great, 70–100 = excellent — these category bands are widely circulated industry folk-wisdom (Bain does not publish strict thresholds). Always pair the score with sample size and response rate; an NPS based on <50 responses or <10% response rate should be flagged as low-confidence.
Source
Retently NPS Benchmarks 2025 · NPS Benchmarks
Benchmarks
| 25th percentile | Median | 75th percentile |
|---|---|---|
| 20 | 36 | 50 |
Higher is better. Source: Retently NPS Benchmarks 2025 (2025).
Stage relevance
Typically owned by
Related KPIs
Period-over-period change in NPS score — the trajectory signal that matters more than any single absolute score. A 5-point swing between adjacent quarters is usually more informative than a "good" or "bad" absolute label, because the methodology's noise floor is high enough that absolute comparisons across companies (or even across quarters with different sample sizes) are unreliable. The board reads this to spot deterioration early — a persistent multi-quarter decline is one of the leading indicators of pending churn. Common pitfall: comparing periods with very different sample sizes or response rates — a "decline" from 45 to 35 means very different things at n=30 vs. n=300.
Free-form commentary from the CS / Sales leadership on retention trends, cohort behavior, and underlying drivers of loyalty (or its absence). Pairs with the quantitative retention KPIs (NRR, GRR, logo retention) and gives the board the "why" behind the numbers — which cohorts are strong, which are weak, what feature engagement correlates with retention, what onboarding changes are landing. Common pitfall: filler prose that restates the numbers without adding causal insight — a board reader should learn something here they could not infer from the metrics page alone.
Named at-risk accounts, root-cause analysis of why they're at risk, and the mitigation plan in flight. Pairs with the quantitative `arr_at_risk` and `percent_arr_at_risk` and gives the board the names + the playbook. Common pitfall: listing the at-risk accounts without the diagnosis or the plan — the board reader needs to see what the team is doing about it, not just what the team is worried about. Also: avoid using this surface as a generic "things are bad" venting forum — keep it account-specific and action-specific.
Active programs the CS / Product / Sales team is running to improve customer health, NPS, retention, or expansion — onboarding revamps, health-score model updates, success-plan rollouts, expansion playbooks, advocacy programs, executive-business-review cadence changes. The board reads this as the "what are we doing about it" companion to the metric pages and the at-risk narrative. Common pitfall: listing initiatives without owner, target metric movement, or checkpoint date — the board cannot follow up on vague programs.
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