NRR Benchmarks 2026: What Is a Good NRR?

Enterprise SaaS median NRR is 124%. SMB SaaS averages 98%. NRR above 100% means your existing customer base grows without adding a single new customer. Get started free By Benchmarketing Research Team Reviewed by Performance Marketing Editorial Reviewed March 2026 · observations Q1 2023 – Q4 2024

NRR benchmarks by segment · 2026

124%

Enterprise SaaS, median NRR

Mid-Market SaaS
112%
SMB SaaS
98%
Usage-Based
130%

NRR by SaaS Segment

Higher is better. 100% = flat retention. Above 100% = net revenue expansion from existing customers.

Enterprise SaaS 124% Mid-Market SaaS 112% SMB SaaS 98% Consumer SaaS 92% Marketplace 108% Vertical SaaS 118% Usage-Based / API 130%

NRR by SaaS Segment — Detailed Ranges

P25 = bottom quartile, P75 = top quartile. Usage-based pricing models consistently achieve the highest NRR.

SegmentMedianP25 (Bottom)P75 (Top)Elite
Enterprise SaaS 124% 108%148% -
Mid-Market SaaS 112% 100%132% -
SMB SaaS 98% 88%112% -
Consumer SaaS 92% 80%104% -
Marketplace 108% 96%124% -
Vertical SaaS 118% 104%140% -
Usage-Based / API 130% 112%158% -

NRR by Geography

Higher is better. North American SaaS companies lead NRR benchmarks driven by enterprise expansion motion and mature CS practices.

North America (US + Canada) 115% Western Europe 110% Asia Pacific (excl. South Asia) 108% Latin America 100% MENA 102% Sub-Saharan Africa 96% South Asia (India + BD + PK) 100%

NRR by Geography

North America and Western Europe benefit from higher expansion revenue due to larger upsell-ready customer bases. Sub-Saharan Africa sees lower NRR due to higher churn rates.

SegmentMedianP25 (Bottom)P75 (Top)Elite
North America (US + Canada) 115% 100%134% -
Western Europe 110% 96%128% -
Asia Pacific (excl. South Asia) 108% 94%124% -
Latin America 100% 88%116% -
MENA 102% 90%118% -
Sub-Saharan Africa 96% 84%112% -
South Asia (India + BD + PK) 100% 88%116% -

NRR by Go-to-Market Motion

Product-led growth / usage-based models consistently achieve highest NRR because expansion is built into the product architecture. Consumer SaaS sees the lowest NRR.

SegmentMedianP25 (Bottom)P75 (Top)Elite
Product-Led Growth (usage-based) 130% 112%158% -
Enterprise sales-led 124% 108%148% -
Mid-market sales-led 112% 100%132% -
SMB / self-serve 98% 88%112% -
Consumer / B2C 92% 80%104% -

Frequently Asked Questions

NRR measures how much revenue you retain from existing customers over a period, including upsells, cross-sells, and expansions, minus downgrades and churn. NRR above 100% means your existing customer base is growing in revenue even without adding new customers. Formula: (Starting MRR + Expansion MRR - Contraction MRR - Churn MRR) / Starting MRR.

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These benchmarks are drawn from a multi-source benchmark cohort aggregated across industries and regions, covering the period Q1 2023 – Q4 2024. Figures on this page come from the Benchmarketing benchmark dataset: thousands of curated benchmark observations spanning channels, industries, and US metro areas, refreshed on a published schedule. Every statistic traces to a named source — no anonymous “studies show.” Data is sourced from:

  • WordStream Google Ads Benchmarks (2024) - Third-party research
  • Meta Business Insights (2024) - Platform data
  • HubSpot Email Marketing Report (2024) - Third-party research
  • Unbounce Conversion Benchmark Report (2024) - Third-party research
  • Databox Marketing Benchmark Report (2024) - Third-party research
  • AdLiftr Snapchat Ads Cost Benchmarks (2026) - Third-party research
  • Ad Badger Amazon Advertising Benchmarks (2026) - Third-party research

The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.

Benchmarks reflect median values across large sample sets. Your industry, business model, and account maturity will cause variation. Use P25/P75 ranges to understand realistic distribution.

Read full methodology

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