NPS Benchmark Data
Buy and sell nps benchmark data data. Net Promoter Scores by industry, company size, and region. Every board wants to know how their NPS compares - this data answers that.
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Find Me This Data →Overview
What Is NPS Benchmark Data?
Net Promoter Score (NPS) benchmark data provides comparative metrics showing how companies' customer loyalty scores perform relative to peers in their industry, company size, and region. NPS is calculated by asking customers how likely they are to recommend a company on a 0–10 scale, then subtracting detractors from promoters to produce a score ranging from -100 to +100. Benchmark data lets leadership understand competitive positioning and identify improvement opportunities. The SaaS industry, for example, averages an NPS of +36, while individual leaders like Nutanix achieve scores above 90. Public NPS benchmarks were historically rare and expensive, but major sources like Temkin Group now publish findings freely, making industry comparisons accessible to organizations of all sizes.
Market Data
+36
SaaS Industry Average NPS
Source: CustomerGauge
92
Top SaaS Company (Nutanix)
Source: CustomerGauge
10,000 U.S. consumers across 269 companies
Benchmark Report Sample Size (2013 Temkin)
Source: AnalyticsWeek
38 individual NPS scores tracked
Number of SaaS Companies Benchmarked
Source: CustomerGauge
Who Uses This Data
What AI models do with it.do with it.
Executive Leadership & Board Reporting
CEOs and boards use unattributed NPS numbers in earnings calls and annual reports to signal customer satisfaction trends, though methodologies are often unstandardized across organizations.
Product & Customer Experience Teams
Companies segment NPS data by plan type, pricing tier, tenure, and customer cohort to identify which segments drive loyalty and where to prioritize improvements.
Competitive Intelligence & Strategy
Organizations compare their NPS against industry peers to assess competitive positioning, with higher competition in a niche making NPS a stronger success indicator.
Analytics & Data Teams
Teams integrate NPS data into GA4, Mixpanel, and BigQuery to compute confidence intervals, detect bias, and report results with uncertainty bands for statistical rigor.
What Can You Earn?
What it's worth.worth.
Premium Benchmark Reports
Varies
Historically required minimum $495+ for full NPS benchmark databases from Temkin Group; now largely available free via Qualtrics XM Institute.
Industry Summary Reports
Varies
Free summaries by industry published by major benchmarking providers; full segmented data (by company size, region, cohort) typically premium.
Custom Segmentation Data
Varies
Tailored NPS cuts by tenure, price tier, use frequency, geography, and channel command higher pricing as data granularity increases.
What Buyers Expect
What makes it valuable.valuable.
Double-Blind Methodology
Buyers increasingly scrutinize methodology transparency. Unattributed NPS figures cited in earnings calls often lack documented survey methodology, raising credibility concerns.
Statistically Rigorous Sampling
Large-scale benchmarks require matched sampling (mirroring census demographics), adequate sample sizes per company (100–2,500+), and published confidence intervals and error margins.
Segmentation Granularity
Data must segment NPS by industry, company size, tenure, plan type, pricing tier, use frequency, geographic region, and customer acquisition channel for actionable comparison.
Privacy & Compliance
Benchmark data collection must follow GDPR and CCPA rules, include proper consent management, use pseudonyms or hashing for user identifiers, and document data retention policies.
Temporal Consistency
Buyers expect benchmarks collected in consistent timeframes (e.g., annual snapshots) so year-over-year changes are comparable and not confounded by external factors.
Companies Active Here
Who's buying.buying.
Monitor competitive NPS standings and segmented scores by customer tier to guide product roadmap and retention strategy.
Reference published NPS benchmarks to justify pricing, justify satisfaction claims to investors, and identify feature gaps versus competitors.
Use NPS benchmark data to contextualize company performance in earnings reports and investor presentations.
Integrate segmented NPS data into data warehouses (BigQuery) and BI platforms (GA4, Mixpanel) to compute rolling scores and identify cohort-level trends.
FAQ
Common questions.questions.
Why is NPS benchmark data valuable?
NPS benchmarks let companies compare their customer loyalty score against industry peers, revealing competitive positioning and improvement priorities. Without benchmarks, an NPS of +36 has no context; with them, you know the SaaS average and can identify whether you're above or below water. Boards increasingly want this data to assess executive performance.
Where can I find free NPS benchmark data?
Temkin Group's historic NPS benchmarks, once priced at $495+, are now freely available through Qualtrics XM Institute (which acquired Temkin in 2018–2019). They also maintain the American Customer Satisfaction Index (ACSI), which can be converted to NPS estimates. Smaller curated lists (like 38 SaaS benchmarks) are published by firms like CustomerGauge.
Why do SaaS companies have lower average NPS than other industries?
SaaS is a lower-tolerance industry with low entry and exit barriers—customers can easily switch providers. Non-SaaS businesses (like automotive) typically achieve higher NPS because switching costs are steeper. Consequently, SaaS NPS is best compared within SaaS, not across industries. Higher competition within SaaS also sharpens NPS as a success metric.
How is NPS data segmented for maximum usefulness?
Leading organizations segment NPS by plan type, pricing tier, customer tenure, use frequency, geographic region, and acquisition channel. This reveals which customer cohorts drive loyalty and where retention efforts should focus. Teams then integrate these segmented datasets into analytics platforms (GA4, Mixpanel, BigQuery) to compute confidence intervals and detect trends over time.
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