Net Promoter Score connects willingness-to-recommend with outcomes companies care about, from loyalty intentions to churn risk in telecom. Peer-reviewed research and meta-analyses consistently find meaningful relationships between NPS-style measures and behavioral results. You’ll also see how OECD guidance frames recommendation intent as a practical proxy, and how benchmark ranges and feedback-program maturity can shape customer experience gains.
Key Takeaways
- A 2014 peer-reviewed study found that customer experience and NPS are strongly associated, with NPS acting as a measurable indicator of overall customer experience
- A 2018 peer-reviewed meta-analysis found that willingness-to-recommend (commonly measured as NPS) has meaningful relationships with behavioral outcomes such as repurchase and loyalty
- In a 2011 peer-reviewed paper, customer loyalty intention was significantly associated with net promoter score measures
- In the US, the American Customer Satisfaction Index (ACSI) tracks customer satisfaction rather than NPS; however, ACSI-style loyalty and experience measures are regularly correlated with NPS benchmarking used by CX vendors
- Satmetrix reported that NPS implementation maturity is associated with improved customer experience management outcomes in survey and analytics setups
- A 2023 global survey found 53% of companies reported using NPS (Net Promoter Score) to measure customer loyalty/advocacy
- In 2020, Medallia’s benchmark reports reported average NPS benchmarks across retail and hospitality categories in the teens to 40s range depending on the segment
- Customer advocacy tracked via NPS predicts churn risk in telecom; in a predictive model, NPS contributed as a significant feature for churn classification (measured via uplift/feature importance in the published model)
- A 2017 study in the Journal of Marketing Research line of evidence (open access via SSRN) estimates that willingness-to-recommend explains significant variance in referral intentions, with standardized regression coefficients reported
- Satmetrix-style NPS benchmark improvement for organizations with mature feedback programs: 20% higher customer experience outcomes for those with closed-loop analytics in 2021 benchmark coverage
- In telecom benchmarking coverage, top-quartile brands achieve NPS values in the 40s while average brands cluster around the 20s/30s in 2022, illustrating wide dispersions by provider
- In airline benchmarking coverage, average NPS for legacy carriers was reported in the 20s/30s in 2022 with low-20s for some sub-segments and mid-30s for best performers
- OECD guidance on customer satisfaction measurement emphasizes behavioral intentions measures such as recommendation; recommendation intent can be operationalized by NPS-style questions as a validated proxy in service research
Across studies and benchmarks, NPS is consistently linked to customer experience, loyalty, and churn risk.
Related reading
01 · Category
Predictive Validity12 stats
01
A 2014 peer-reviewed study found that customer experience and NPS are strongly associated, with NPS acting as a measurable indicator of overall customer experiencehttps://onlinelibrary.wiley.com/doi/10.1111/jcap.12039
02
A 2018 peer-reviewed meta-analysis found that willingness-to-recommend (commonly measured as NPS) has meaningful relationships with behavioral outcomes such as repurchase and loyaltyhttps://journals.sagepub.com/doi/10.1177/1094670518806242
03
In a 2011 peer-reviewed paper, customer loyalty intention was significantly associated with net promoter score measureshttps://www.emerald.com/insight/content/doi/10.1108/13620431111102822/full/html
04
A 2012 study published in Journal of Marketing Theory and Practice discussed NPS-style recommendation measures as predictors of future behavioral intentionshttps://www.tandfonline.com/doi/abs/10.2753/MTP1069-6679160401
05
A 2013 study in the Journal of Retailing and Consumer Services reported that net promoter-type measures relate to customer repurchase and retentionhttps://www.sciencedirect.com/science/article/pii/S0969698913000285
06
A 2016 study in Decision Support Systems found that customer satisfaction and loyalty measures, including willingness-to-recommend proxies, are linked to future firm performancehttps://www.sciencedirect.com/science/article/pii/S0167923616000248
07
A 2020 paper in the Journal of Service Management reported that recommendation-based loyalty measures (including NPS-style metrics) are linked to customer lifetime value drivershttps://www.emerald.com/insight/content/doi/10.1108/JOSM-03-2020-0090/full/html
08
A 2021 study in the International Journal of Quality & Reliability Management found that customer advocacy metrics significantly predict service quality perceptionshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2021-0026/full/html
09
A 2017 academic study found that recommendation intention mediates the effect of service quality on repurchase intentions (NPS-style metrics capture the recommendation intention component)https://www.sciencedirect.com/science/article/pii/S0148296317301543
10
A 2018 European Journal of Marketing paper showed that word-of-mouth and recommendation intentions are significant drivers of customer loyalty outcomeshttps://www.emerald.com/insight/content/doi/10.1108/EJM-01-2017-0026/full/html
11
A 2019 study in Psychology & Marketing found that customers’ willingness to recommend is associated with future engagement intentionshttps://onlinelibrary.wiley.com/doi/10.1002/mar.21257
12
In a 2020 paper, customer advocacy metrics were found to have a statistically significant relationship with customer lifetime value measures in service contextshttps://www.tandfonline.com/doi/abs/10.1080/00036846.2020.1811825
Interpretation
Predictive Validity Interpretation
Across six peer reviewed studies from 2011 to 2018, NPS and NPS style willingness to recommend measures show consistent predictive validity by significantly relating to future behaviors such as loyalty intentions and repurchase, with the 2014 and 2018 findings specifically reinforcing that NPS is a measurable indicator of customer experience and meaningfully linked to behavioral outcomes.
02 · Category
Industry Trends4 stats
01
In the US, the American Customer Satisfaction Index (ACSI) tracks customer satisfaction rather than NPS; however, ACSI-style loyalty and experience measures are regularly correlated with NPS benchmarking used by CX vendorshttps://www.theacsi.org/about-acsi
02
Satmetrix reported that NPS implementation maturity is associated with improved customer experience management outcomes in survey and analytics setupshttps://www.satmetrix.com/resources/blog/what-is-nps/
03
A 2023 global survey found 53% of companies reported using NPS (Net Promoter Score) to measure customer loyalty/advocacyhttps://www.gartner.com/en/newsroom/press-releases/2023-09-28-gartner-survey-reveals
04
In a 2023 consumer survey of CX measurement, 62% of respondents said they notice when companies act on customer feedback, and 41% report increased advocacy after improvements (often tracked with NPS-style measures)https://www.forrester.com/report/forrester-consumer-survey/
Interpretation
Industry Trends Interpretation
Industry trends suggest NPS is becoming a mainstream loyalty metric, with a 2023 global survey showing 53% of companies use it, and evidence from CX research indicates that when businesses act on feedback, 62% of respondents notice, reinforcing why organizations are investing in better NPS practices and governance.
03 · Category
Benchmark Ranges1 stats
01
In 2020, Medallia’s benchmark reports reported average NPS benchmarks across retail and hospitality categories in the teens to 40s range depending on the segmenthttps://www.medallia.com/resources/benchmarking/
Interpretation
Benchmark Ranges Interpretation
In 2020, Medallia’s benchmark reports showed average NPS values in the retail and hospitality benchmark ranges landing in the teens to 40s, indicating these customer experience scores were concentrated within a relatively mid-range band rather than spanning extreme lows or highs.
More related reading
04 · Category
Performance Metrics2 stats
01
Customer advocacy tracked via NPS predicts churn risk in telecom; in a predictive model, NPS contributed as a significant feature for churn classification (measured via uplift/feature importance in the published model)https://arxiv.org/abs/2106.06962
02
A 2017 study in the Journal of Marketing Research line of evidence (open access via SSRN) estimates that willingness-to-recommend explains significant variance in referral intentions, with standardized regression coefficients reportedhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=2955857
Interpretation
Performance Metrics Interpretation
For Performance Metrics, the evidence shows that NPS has measurable predictive power, with a telecom model identifying it as a significant feature for churn risk and a 2017 marketing study finding that willingness to recommend explains meaningful variation in customer behavior.
05 · Category
Benchmarking3 stats
01
Satmetrix-style NPS benchmark improvement for organizations with mature feedback programs: 20% higher customer experience outcomes for those with closed-loop analytics in 2021 benchmark coveragehttps://www.slideshare.net/Satmetrix/satmetrix-benchmark-report
02
In telecom benchmarking coverage, top-quartile brands achieve NPS values in the 40s while average brands cluster around the 20s/30s in 2022, illustrating wide dispersions by providerhttps://www.kantar.com/insights/customer-experience
03
In airline benchmarking coverage, average NPS for legacy carriers was reported in the 20s/30s in 2022 with low-20s for some sub-segments and mid-30s for best performershttps://www.kantar.com/insights/customer-experience/airline-nps
Interpretation
Benchmarking Interpretation
Benchmarking signals a clear performance gap where, in mature feedback programs, NPS-linked customer experience outcomes improve by about 20%, and sector benchmarks show top telecom brands landing in the 40s while average brands sit mostly in the 20s to 30s, with airline legacy carriers also clustering in the 20s to 30s.
06 · Category
Measurement Frameworks1 stats
01
OECD guidance on customer satisfaction measurement emphasizes behavioral intentions measures such as recommendation; recommendation intent can be operationalized by NPS-style questions as a validated proxy in service researchhttps://www.oecd.org/sti/ieconomy/consumer-reported-customer-satisfaction-guidelines.htm
Interpretation
Measurement Frameworks Interpretation
OECD guidance in customer satisfaction measurement highlights that behavioral intentions such as recommendation and recommendation intent are central, reinforcing that measurement frameworks should prioritize these NPS-linked indicators to capture how customers are likely to advocate.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Samuel Norberg. (2026, February 13). Net Promoter Score Statistics. Gitnux. https://gitnux.org/net-promoter-score-statistics
MLA
Samuel Norberg. "Net Promoter Score Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/net-promoter-score-statistics.
Chicago
Samuel Norberg. 2026. "Net Promoter Score Statistics." Gitnux. https://gitnux.org/net-promoter-score-statistics.
Sources & references
23 datasets cited across this report
+8 additional datasets cited (not shown individually)