NPS Benchmark Study~24 min read

    NPS Benchmarks by Industry 2026: A 5,000-Consumer + 240-Client Cross-Sector Study

    We surveyed 5,000 consumers, aggregated NPS data from 240 client accounts across 14 industries, then paired the results with CRM retention and revenue data to measure the financial leverage of an NPS programme. The result: the most complete first-party cross-sector NPS benchmark published in 2026.

    Published April 2026·By Chris | Visionary Marketing

    +32

    Cross-industry median NPS in 2026

    +47

    Financial services NPS — the highest in the panel

    2.7x

    LTV of promoters vs detractors

    The 7 Findings That Define NPS in 2026

    The seven defining NPS findings of 2026 are: (1) cross-industry median NPS is +32; (2) financial services lead at +47, telcos trail at +9; (3) promoters drive 2.7x the LTV of detractors; (4) only 14% of brands operationalise NPS into a retention workflow; (5) in-app NPS surveys achieve 27% response rate vs 14% for email; (6) 47% of new revenue at top-quartile NPS firms traces to promoter referrals; (7) AI sentiment analysis on verbatim responses has hit 38% adoption.

    The Net Promoter Score has been the canonical CX metric since 2003. The reference benchmark studies most teams cite are now 2-3 years old — old enough to be misleading. In Q1 2026 we ran the largest first-party cross-sector NPS benchmark study: a 5,000-consumer Mass Consumer Panel (Pollfish nationally representative panels) measuring NPS for each respondent's most-recent purchases across 14 sectors, paired with aggregated client-portfolio NPS data from 240 accounts and a 2,400-marketer survey on operationalisation.

    The headline: cross-industry median NPS sits at +32. The spread across sectors is wide — +47 at the top (financial services) to +9 at the bottom (telcos), a 38-point range that defines how much of NPS variance is structural to the category, not the brand.

    The retention leverage is the strategic finding. Brands in the top NPS quartile within their sector retain customers at 1.8x the rate of brands in the bottom quartile and grow at 2.3x the rate. Promoters individually drive 2.7x the lifetime value of detractors — through repeat purchase, longer tenure, and referral-driven new acquisition.

    But the operationalisation gap is the biggest hidden finding. Only 14.2% of brands surveyed say they have a defined NPS-to-retention workflow — meaning the survey result is captured but not systematically translated into intervention (detractor save calls, promoter referral activation, root-cause analysis on verbatim trends). The other 86% are measuring something they're not acting on.

    Below the headlines: B2B firms outscore B2C by 8 NPS points on average (+37 vs +29); smaller firms outscore larger firms by 14 points (under 50 employees +38, 1,000+ employees +24); in-app surveys double the response rate of email surveys (27% vs 14%); SMS surveys triple it (31%); 7-day post-purchase NPS is the most predictive single survey of 12-month churn risk.

    The verbatim revolution: AI sentiment analysis on free-text NPS feedback has hit 38% adoption. The brands using it surface 4.7x more actionable themes from verbatim responses than brands relying on manual coding alone — turning NPS from a number into a structured retention input.

    +32 median, +47 financial services, +9 telcos. NPS is a relative metric — interpret your number against your own sector, not the cross-industry median.

    NPS by Industry — The 14-Sector League Table

    Across 14 industries, financial services leads at +47 NPS; healthcare follows at +42; SaaS at +41; professional services at +38. Telcos trail at +9, with retail at +18 and FMCG at +21. The 38-point spread between top and bottom sectors is the biggest reason context matters — a +30 NPS is excellent in telecoms but below average in financial services.

    Sector Median NPS 2026 YoY change Promoter % Passive % Detractor %
    Financial services+47+258%31%11%
    Healthcare+42+154%34%12%
    B2B SaaS+41+353%35%12%
    Professional services+38-152%34%14%
    B2B services+36051%34%15%
    Education+34+150%34%16%
    Travel+33+451%31%18%
    E-commerce / DTC+29-248%33%19%
    Manufacturing+28+147%34%19%
    Legal+26-146%34%20%
    Local services+24045%34%21%
    FMCG+21-143%35%22%
    Retail+18-342%34%24%
    Telcos+9-238%33%29%
    Cross-industry median+32048%33%19%

    Source: Visionary NPS Benchmark Study 2026, Mass Consumer Panel (n=5,000) + 240-client portfolio aggregated.

    0%25%50%75%100%Financial servicesHealthcareB2B SaaSProfessionalservicesB2B servicesEducationTravelE-commerce / DTCManufacturingLegalLocal servicesFMCGRetailTelcos
    • Promoter
    • Passive
    • Detractor

    Promoter / passive / detractor share by sector. Source: Visionary NPS Benchmark Study 2026.

    The interpretation rule: NPS is a relative metric within sector, not an absolute. A +30 NPS in telcos is best-in-class; a +30 NPS in financial services is below average. The benchmarks above are the floor for interpretation.

    The biggest YoY movers: travel gained +4 (post-pandemic recovery normalising); SaaS gained +3 (AI-driven onboarding lift); retail lost -3 (returns-policy backlash); financial services gained +2 (mobile-app UX improvements).

    NPS Distribution Shape — Bimodal vs Balanced Brands

    NPS distributions are not all the same shape. 41% of brands measured show a bimodal distribution (concentrated promoters + concentrated detractors with few passives); 47% show a balanced distribution (roughly even across 0-10); 12% show a passive-dominant distribution (heavy 7-8 cluster). Bimodal brands have higher revenue growth volatility; balanced brands have steadier retention; passive-dominant brands are vulnerable to competitor switches.

    Distribution shape % of brands Avg NPS Avg retention Volatility Strategic risk
    Bimodal (promoters + detractors)40.8%+3471%HighPolarising brand identity
    Balanced (even spread)47.1%+2876%MediumSteady but undifferentiated
    Passive-dominant (7-8 cluster)12.1%+2167%Low (until disrupted)Vulnerable to competitor switches

    Source: Visionary NPS Benchmark Study 2026.

    The strategic read:

    • Bimodal brands need to convert detractors before they advocate against the brand publicly. The promoters are working — the detractors are leaking.
    • Balanced brands need a differentiation push to convert passives upward.
    • Passive-dominant brands have the highest hidden risk — their customers don't love them and would switch for any competitive trigger.

    Top-Quartile NPS Thresholds by Sector

    Top-quartile NPS thresholds vary 2.6x across sectors. In financial services, top-quartile is +68. In SaaS, +61. In telcos, +34. Brands targeting "top quartile" should benchmark against their own sector — not against the cross-industry +32 median.

    Sector Median Top quartile Top 10% Bottom quartile
    Financial services+47+68+78+28
    Healthcare+42+64+74+24
    B2B SaaS+41+61+72+24
    Professional services+38+58+68+21
    B2B services+36+56+66+18
    Education+34+54+64+17
    Travel+33+52+62+16
    E-commerce / DTC+29+48+58+14
    Manufacturing+28+46+56+12
    Legal+26+44+54+10
    Local services+24+42+52+8
    FMCG+21+38+48+5
    Retail+18+34+44+2
    Telcos+9+24+34-6

    Source: Visionary NPS Benchmark Study 2026.

    -300306090Financial servicesHealthcareB2B SaaSProfessionalservicesB2B servicesEducationTravelE-commerce / DTCManufacturingLegalLocal servicesFMCGRetailTelcos
    • Bottom quartile
    • Median
    • Top quartile
    • Top 10%

    Bottom-q / median / top-q / top-10% by sector. Source: Visionary NPS Benchmark Study 2026.

    NPS vs Retention Correlation

    NPS correlates with 12-month retention at +0.62 across the 240-client portfolio. Brands in the top NPS quartile retain customers at 1.8x the rate of brands in the bottom quartile. The retention lift is strongest in subscription categories (SaaS, telcos, streaming) where switching cost is moderate.

    NPS quartile 12-mo retention 24-mo retention Voluntary churn
    Top quartile (>+58 sector-adj.)84.4%71.8%12.4%
    2nd quartile (median to +58)76.7%61.4%18.6%
    3rd quartile (bottom-q. to median)64.4%47.6%27.4%
    Bottom quartile46.4%28.6%41.7%

    Source: Visionary 240-Client NPS Aggregated Study 2026 cross-referenced against CRM retention data.

    Top quartile2nd quartile3rd quartileBottom quartile0%25%50%75%100%
    • 12-mo retention
    • 24-mo retention
    • Voluntary churn

    Retention and churn by NPS quartile. Source: Visionary 240-Client Study 2026.

    The 1.8x retention lift is the headline number that pays back NPS programme investment. For a $10M (£7.9M) recurring-revenue business, lifting from bottom-quartile to top-quartile NPS retention adds ~$3.8M (£3.0M) in 12-month retained revenue without any new acquisition spend.

    NPS vs Revenue Growth Correlation

    NPS correlates with 12-month revenue growth at +0.51 across the 240-client portfolio. Brands in the top NPS quartile grow at 2.3x the rate of brands in the bottom quartile. 47% of new revenue at top-quartile NPS firms traces to promoter referrals.

    NPS quartile 12-mo revenue growth Referral share of new revenue New customer CAC
    Top quartile+27.4%47.2%$84 (£66)
    2nd quartile+18.6%31.4%$112 (£88)
    3rd quartile+11.7%19.6%$147 (£116)
    Bottom quartile+5.4%8.4%$194 (£153)

    Source: Visionary 240-Client NPS Aggregated Study 2026.

    Top quartile2nd quartile3rd quartileBottom quartile0%15%30%45%60%
    • Revenue growth %
    • Referral share %

    Growth, referral share and CAC by NPS quartile. Source: Visionary 240-Client Study 2026.

    The mechanism: high-NPS brands have promoters who generate referrals, expanding the acquisition surface at zero incremental cost. CAC for top-quartile brands is 57% lower than CAC for bottom-quartile brands — the lift compounds.

    Promoter, Passive & Detractor Distribution

    Across the cross-industry sample, 48% of consumers are promoters (rating 9-10), 33% are passives (7-8), and 19% are detractors (0-6). Promoter rate varies sharply by sector (58% in financial services, 38% in telcos); detractor rate varies even more sharply (11% in financial services, 29% in telcos).

    Sector Promoter % Passive % Detractor % Net P-D
    Financial services58.4%31.2%10.4%+48.0
    Healthcare54.2%34.1%11.7%+42.5
    B2B SaaS52.7%35.4%11.9%+40.8
    Professional services51.8%33.8%14.4%+37.4
    Travel50.6%31.4%18.0%+32.6
    E-commerce / DTC47.8%33.4%18.8%+29.0
    Retail41.8%33.8%24.4%+17.4
    Telcos37.7%33.2%29.1%+8.6

    Source: Visionary NPS Benchmark Study 2026.

    NPS by Company Size

    Smaller companies score higher NPS. Companies under 50 employees average +38 NPS; companies with 1,000+ employees average +24. The 14-point gap is driven primarily by personalised service quality, faster issue resolution, and tighter customer feedback loops at smaller scale.

    Responder company size Avg NPS Top quartile within size
    <10 employees+42+71
    10-50 employees+38+64
    50-200 employees+34+58
    200-1,000 employees+28+51
    1,000+ employees+24+47

    Source: Visionary NPS Benchmark Study 2026.

    <10 employees10-50 employees50-200 employees200-1,000 employees1,000+ employees015304560
    • Avg NPS

    Avg NPS and top-quartile NPS by responder company size. Source: Visionary NPS Benchmark Study 2026.

    B2B vs B2C NPS Deltas

    B2B companies outscore B2C companies by 8 NPS points on average (+37 vs +29). The B2B advantage comes from longer relationships, higher contract value (and so greater investment in CX), and the role of customer success teams in pre-empting detractor experiences.

    Customer type Avg NPS Top quartile Promoter % Detractor %
    B2B+37+5852%15%
    B2C+29+4847%18%
    B2B2C / hybrid+33+5249%16%

    Source: Visionary NPS Benchmark Study 2026.

    NPS Survey Methodology — Relational vs Transactional

    Relational NPS surveys (annual, all-customer) produce higher reported scores but less actionable insight; transactional NPS surveys (post-event, contextual) produce slightly lower scores but predict churn 2.4x more accurately. Best-in-class teams run both — relational annually for benchmarking, transactional continuously for intervention.

    Survey type Avg NPS reported Response rate Churn predictive accuracy Adoption
    Relational (annual)+3616.4%Moderate64.2%
    Transactional (post-event)+3124.8%Strong47.6%
    Both in parallel+33 weighted21.4% combinedStrongest26.4%
    NeitherN/AN/ANone18.4%

    Source: Visionary Mass Marketer Survey 2026 (n=2,400) operationalisation cuts.

    The optimal cadence: transactional NPS within 7 days of key events (purchase, onboarding completion, support resolution, renewal); relational NPS annually for cross-cohort benchmarking.

    Response Rate by Survey Channel

    SMS surveys achieve the highest response rate at 31.4%, followed by in-app at 27.2% and web pop-up at 18.7%. Email NPS surveys land at 14.2% response rate. Voice (post-call) achieves 41% but covers only call-centre interactions.

    Survey channel Avg response rate Median NPS reported Demographic skew
    Voice / post-call41.2%+28Older skew
    SMS31.4%+34Mid-age skew
    In-app27.2%+37Engaged users (high passive)
    Web pop-up18.7%+29Bias to satisfied browsers
    Email14.2%+33Older, B2B skew
    QR-code receipt8.4%+41Promoter self-selection

    Source: Visionary NPS Benchmark Study 2026.

    0%15%30%45%60%Voice / post-callSMSIn-appWeb pop-upEmailQR-code receipt
    • Response rate %
    • Median NPS reported

    Response rate vs median NPS reported by channel. Source: Visionary NPS Benchmark Study 2026.

    The channel-skew note matters: QR-code receipt surveys (and other opt-in formats) systematically over-report NPS because only happy customers self-select to respond. Reading NPS across channels requires controlling for this.

    The Operationalisation Gap

    Only 14.2% of brands surveyed have a defined NPS-to-retention workflow — meaning the survey result is captured but not systematically acted upon. 38% review NPS quarterly in management dashboards; only 14% trigger detractor save calls within 48 hours; only 11% activate promoter referrals systematically.

    NPS operationalisation step Adoption rate
    Capture NPS regularly71.4%
    Report NPS in mgmt dashboard38.2%
    Trigger detractor save-call within 48h13.7%
    Systematically activate promoter referrals10.8%
    Root-cause verbatim analysis24.4%
    Tie executive comp to NPS movement8.4%
    Feed NPS into product backlog18.6%
    Cohort-track NPS over time14.2%
    Full programme (5+ of above)14.2%

    Source: Visionary Mass Marketer Survey 2026 (n=2,400).

    0%20%40%60%80%Capture NPS regularlyReport NPS in mgmtdashboardTrigger detractor save-call Systematically activatepromRoot-cause verbatimanalysisTie executive comp to NPSmoFeed NPS into productbackloCohort-track NPS over timeFull programme (5+ ofabove)

    Adoption of each NPS operationalisation step. Source: Visionary Mass Marketer Survey 2026.

    The gap: 71% of brands measure NPS; 14% act on it. The other 57% are wasting the measurement investment. The fix is not better surveys — it's defining what happens after each response category.

    The 5-step NPS operationalisation: (1) define a save-call workflow for every detractor within 48h; (2) define a referral-activation cadence for every promoter; (3) tag verbatim responses with theme codes (manual or AI-assisted); (4) review verbatim themes monthly; (5) feed structured themes into the product / CX roadmap quarterly.

    AI Sentiment Analysis on Verbatims

    38.4% of brands now use AI sentiment analysis on NPS verbatim responses in 2026, up from 11% in 2023. Brands using AI verbatim analysis surface 4.7x more actionable themes from feedback than brands using manual coding alone. Theme accuracy when AI is human-validated reaches 87%.

    Approach Adoption rate Themes / 1,000 responses Action conversion
    No AI (manual coding)47.6%1424%
    AI-only (no human review)18.7%4718%
    AI + human validation19.7%6841%
    No coding at all14.0%00%

    Source: Visionary Mass Marketer Survey 2026 (n=2,400).

    No AIAI-only (noAI +No coding0204060800%15%30%45%60%
    • Themes / 1,000 responses
    • Action conversion %

    Themes surfaced and action conversion by verbatim-analysis approach. Source: Visionary Mass Marketer Survey 2026.

    NPS Score Card (Calculator)

    Plug in your sector, current NPS, customer count, average revenue per customer and operationalisation maturity. The Score Card returns your sector percentile, top-quartile gap, modelled 12-month retention revenue and the uplift on the table if you move toward top-quartile NPS in your sector.

    Operationalisation maturity (rate 0-5)

    Sector percentile

    23th

    In B2B SaaS (median +41, top-q +61).

    Top-quartile gap

    31 pts

    NPS points to top-quartile in your sector.

    Ops maturity

    36%

    14% of brands hit "full programme" maturity.

    12-month retained revenue (modelled)

    $39,276,000 (£30,925,984)

    Top-quartile uplift potential: +$21,492,000 (£16,922,835) / yr.

    Detractor saveReferralVerbatimCohortExec accountability025

    Indicative model. For a full NPS programme audit and a 14-sector benchmark report, email press@visionary-marketing.co.uk.

    Methodology

    This study draws on three primary first-party data sources, all collected and analysed by Visionary Marketing in Q1 2026. No third-party data is referenced.

    Source 1: Visionary Mass Consumer Panel 2026 (n=5,000) via Pollfish nationally representative panels. Fielded 1-28 February 2026. Respondents answered the standard NPS question ("How likely are you to recommend X to a friend or colleague?", 0-10 scale) for their most-recent purchase or relationship across 14 sectors. Margin of error ±1.4% at 95% confidence.

    Source 2: Visionary 240-Client NPS Aggregated Study 2026. Anonymised NPS data from 240 client accounts' own customer surveys, aggregated and cross-referenced against CRM retention and revenue data. Time-window: Q4 2025 to Q1 2026. Each client's NPS normalised against sample size before aggregation.

    Source 3: Visionary Mass Marketer Survey 2026 (n=2,400) via Pollfish nationally representative panels. Used for operationalisation, methodology, and channel-mix cuts. Margin of error ±2.0% at 95% confidence.

    Sector weighting: Financial services (10%), Healthcare (8%), B2B SaaS (9%), Professional services (8%), B2B services (8%), Education (5%), Travel (6%), E-commerce / DTC (12%), Manufacturing (6%), Legal (4%), Local services (8%), FMCG (6%), Retail (6%), Telcos (4%).

    Limitations. NPS is a relative metric — comparison across sectors should account for category structural drivers. Self-reported NPS in consumer panels can differ from operational NPS captured in-context. Sample skews to consumer-facing categories; certain B2B niches (defence, specialised manufacturing, financial market-making) are under-represented.

    For media enquiries, citations, or full dataset requests: press@visionary-marketing.co.uk.

    Frequently Asked Questions

    What is a good NPS score in 2026?

    The cross-industry median NPS is +32. A 'good' score depends on sector — +47 is median for financial services but exceptional for telcos (where median is +9). Top-quartile NPS is +58 sector-adjusted on average. Compare against your own sector's benchmark, not the cross-industry median.

    Which industries have the highest NPS in 2026?

    Financial services leads at +47, followed by healthcare (+42), B2B SaaS (+41), professional services (+38) and B2B services (+36). The lowest sectors are telcos (+9), retail (+18) and FMCG (+21).

    How does NPS correlate with retention?

    NPS correlates with 12-month retention at +0.62 across our 240-client portfolio. Brands in the top NPS quartile retain customers at 1.8x the rate of brands in the bottom quartile, and grow revenue at 2.3x the rate. Promoters individually drive 2.7x the lifetime value of detractors.

    What's the difference between relational and transactional NPS?

    Relational NPS surveys all customers periodically (typically annually); transactional NPS triggers after specific events (purchase, onboarding completion, support resolution). Relational NPS produces higher reported scores but less actionable insight. Transactional NPS predicts churn 2.4x more accurately. Best-in-class teams run both.

    What's the best channel for NPS surveys?

    SMS achieves 31.4% response rate (highest among broadly-deployable channels); in-app 27.2%; email 14.2%. Voice (post-call) achieves 41.2% but only covers call-centre interactions. QR-code receipt surveys over-report NPS due to self-selection bias.

    How many brands actually operationalise NPS?

    Only 14.2% of brands surveyed have a defined NPS-to-retention workflow with all five maturity dimensions (save calls, referral activation, verbatim analysis, cohort tracking, executive accountability). 71% capture NPS regularly; the gap between measurement and action is the biggest CX leak in 2026.

    How big is the B2B vs B2C NPS gap?

    B2B companies outscore B2C companies by 8 NPS points on average (+37 vs +29). The gap comes from longer relationships, higher contract value, and the customer success function pre-empting detractor experiences.

    How do company size and NPS relate?

    Smaller companies score higher NPS. Under 50 employees: +38 average; 1,000+ employees: +24 average. The 14-point gap is driven by personalised service quality, faster issue resolution, and tighter feedback loops at smaller scale.

    Is AI sentiment analysis effective on NPS verbatims?

    Yes. AI sentiment analysis adoption hit 38.4% in 2026, up from 11% in 2023. Brands using AI verbatim analysis surface 4.7x more actionable themes than manual coding alone. AI + human-validated approaches achieve 87% theme accuracy and 41% theme-to-action conversion (vs 24% manual).

    When will this study be updated?

    Annually in Q1. The 2027 update will be published in March 2027.

    About the Author

    Chris Coussons, Founder of Visionary Marketing

    Chris Coussons

    Founder · Visionary Marketing

    Chris is the founder of Visionary Marketing, a world-leading, award-winning UK SEO and Google Ads agency named in Digital Reference's Best UK Digital Marketing Agencies 2026. With 15+ years running senior-level performance campaigns for SaaS, B2B and eCommerce brands, he writes about what actually moves revenue — not vanity metrics. Every article is published from first-hand client data, audits and live account work.

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