Glossary · NPS
What is NPS?
NPS (Net Promoter Score) is a customer loyalty metric developed by Fred Reichheld and Bain & Company in 2003 that measures how likely customers are to recommend a company, product, or service to others on a 0–10 scale. Respondents scoring 9–10 are “Promoters,” 7–8 are “Passives,” and 0–6 are “Detractors.” NPS is calculated as the percentage of Promoters minus the percentage of Detractors, producing a score from -100 to +100. NPS measures relationship-level loyalty in contrast to CSAT which measures transaction-level satisfaction.
NPS formula
NPS = (% Promoters) − (% Detractors)Where:
- Promoters: respondents who score 9 or 10
- Passives: respondents who score 7 or 8 (ignored in the NPS calculation)
- Detractors: respondents who score 0 through 6
A score of +50 is considered excellent. +70 is world-class. Scores below 0 mean you have more Detractors than Promoters.
The one question
The classic NPS question:
“On a scale of 0 to 10, how likely are you to recommend [Company/Product/Service] to a friend or colleague?”
Optional follow-up:
“What is the primary reason for your score?”
The simplicity is the strength — one question, one number, comparable across industries and time.
NPS benchmarks by industry
Median NPS by industry (2025 data, approximate):
| Industry | Median NPS |
|---|---|
| Software / SaaS | +35 to +45 |
| Retail | +40 to +55 |
| Hospitality | +35 to +50 |
| Financial services | +25 to +40 |
| Healthcare | +15 to +30 |
| Telecom / cable | -10 to +15 (classically low) |
| Airlines | +20 to +40 |
| Insurance | +20 to +35 |
| Automotive | +30 to +50 |
Best-in-class brands in each category reach +60 to +80.
Why NPS matters
- Predictor of growth — higher NPS correlates with higher revenue growth (Bain research)
- Loyalty signal — Promoters buy more, renew more, refer more
- Churn warning — Detractors are 4–6x more likely to churn
- Organizational alignment — one score everyone understands
- Benchmark comparability — NPS is used across industries
- Root-cause diagnostic — the “why” follow-up surfaces product and service issues
NPS vs. CSAT vs. CES
Common customer metrics:
| Metric | Scope | Question | Best for |
|---|---|---|---|
| NPS | Relationship / brand | Would you recommend us? | Strategic loyalty |
| CSAT | Specific interaction | Were you satisfied? | Tactical transaction quality |
| CES (Customer Effort Score) | Friction | How easy was it? | Self-service optimization |
Use NPS for strategic decisions. Use CSAT for operational coaching. Use CES when investigating specific friction.
NPS best practices
Timing
Survey at meaningful points — after first purchase, after 30/60/90 days of use, annually for renewals. Don’t survey right after a support ticket (that’s CSAT territory).
Sample
Randomly sample to avoid bias. Don’t survey only customers who just signed up (they’re overly optimistic) or only customers who just churned (they’re overly negative).
Frequency
Quarterly or semi-annual relationship NPS for mature customers. Monthly for rapidly evolving products.
Follow-up
The follow-up question is where the real value is. The score tells you a number; the comment tells you why.
Act on it
- Close the loop on Detractors — within 48 hours, contact every Detractor personally
- Ask Promoters for referrals — they’re already willing
- Ask Promoters for reviews / case studies — they’re your marketing asset
- Route Passives — to product / marketing for conversion-improvement programs
Segment
Average NPS masks segments. Look at:
- New customers vs. tenured
- Product line or package tier
- Industry vertical
- Use-case segment
- Geography
A +40 overall can hide a -10 in a struggling segment. Find it.
NPS weaknesses
NPS is not a perfect metric:
- One question — loses nuance (that’s also the strength)
- Cultural differences — some cultures rate higher or lower on average
- Survey response bias — non-respondents are likely more disengaged
- Recency bias — recent experience dominates
- Self-reported intent, not actual referrals — Promoters may not actually refer
- Ratings inflation — some industries train customers to rate 9–10 reflexively
- Gaming — surveying only happy customers skews scores
These are manageable with methodology discipline (consistent sampling, timing, follow-up analysis).
NPS and contact center
Direct support interactions influence NPS:
- CSAT is tactical — measures the specific interaction
- NPS is relationship-level — but support quality significantly shapes it
A pattern of low CSAT on support interactions will drag NPS down over time. Investments in First Call Resolution and agent quality translate to NPS improvements after a lag.
DialPhone’s AI Contact Center ties interaction-level CSAT and root-cause analytics to NPS trends, helping identify which support issues are affecting loyalty.
Promoter-driven growth
Promoters drive growth through:
- Referrals — direct recommendations to peers
- Reviews — G2, Capterra, Trustpilot, industry directories
- Case studies — public testimonials with metrics
- Upgrades — Promoters buy more
- Tenure — Promoters stay longer
Programs that systematically activate Promoters (refer-a-friend, review requests, case-study opt-ins) are some of the highest-ROI marketing investments.
Detractor recovery
Detractors cost:
- Direct churn risk — 4–6x higher than Promoters
- Negative word of mouth — offsetting Promoter referrals
- Support cost — they’re more likely to call, email, complain
- Reputation — reviews, social, press
Closed-loop Detractor follow-up is one of the highest-leverage operational programs. Personally contacting every Detractor within 48 hours routinely converts 20–40% to Passives or Promoters.
NPS in business outcomes
Research consistently shows correlation between NPS and revenue growth, though causation is debated. Companies with NPS in the top quartile typically grow 2–2.5x faster than those in the bottom quartile in the same industry.
DialPhone and NPS
- Post-interaction CSAT surveys automated via SMS or email
- Relationship NPS campaigns integrated with CRM
- AI sentiment analysis surfaces Detractor risk in real-time
- Close-the-loop workflow: low-CSAT call → ticket → account-manager follow-up
- NPS segmentation by product, region, issue type
- Salesforce and HubSpot integration for CRM-level NPS view
Example
A 1,200-seat B2B SaaS company tracked relationship NPS quarterly at +38. Deploying DialPhone’s Contact Center Professional with AI Analytics:
- Detected that Detractors clustered around one product area (billing self-service)
- Root-cause: 4 common billing issues that required 2+ contacts to resolve
- Product team shipped self-service fixes addressing those 4 issues
- 2 quarters later: relationship NPS rose from +38 to +51
- Renewal rate on the affected segment improved 9 percentage points
The contact center data surfaced the product issues that were dragging NPS. Fixing them drove the score — and revenue.