Net Revenue Retention (NRR)

Net Revenue Retention (NRR) — also known as Net Dollar Retention (NDR) — is one of the most critical performance metrics in B2B SaaS and subscription businesses. It measures how much recurring revenue is retained and expanded from existing customers over a specific period, accounting for upgrades (expansions), downgrades (contractions), and churn.

A company with high NRR demonstrates strong product-market fit, customer satisfaction, and the ability to grow revenue organically without relying solely on new acquisitions.


What Is Net Revenue Retention?

Net Revenue Retention is the percentage of recurring revenue retained from your current customer base, inclusive of:

  • Expansion revenue from upsells, cross-sells, and add-ons
  • Revenue lost due to churn (customer loss)
  • Revenue lost from downgrades or plan contractions

It excludes new customers, focusing purely on how well you’re growing within your existing customer base.


Why Net Revenue Retention Is a Core SaaS Metric

  • 📈 Revenue Efficiency – NRR > 100% means your business is growing from the inside out
  • 💸 CLTV Expansion – NRR helps quantify how long and how much value your customers generate
  • 🔁 Retention Health – Shows whether customers find long-term value in your product
  • 🔍 Investor Focus – High-growth SaaS companies often showcase NRR as a primary metric
  • 🧠 Forecast Reliability – NRR allows you to predict stable, recurring revenue more accurately

NRR Formula

The standard formula for Net Revenue Retention:

NRR = ((Recurring Revenue at Start + Expansion – Churn – Contraction) ÷ Recurring Revenue at Start) × 100

Example:
Start MRR: $100,000
Expansion: $15,000 (e.g., seat upgrades)
Contraction: $5,000 (e.g., plan downgrades)
Churn: $10,000 (lost customers)

NRR = ((100K + 15K – 5K – 10K) ÷ 100K) × 100 = 100%

In this example, NRR is 100% — meaning all revenue lost was perfectly offset by expansion revenue. No growth, but no net loss.


NRR Benchmarks in B2B SaaS

Company TypeStrong NRR Benchmark
SMB SaaS90–100%
Mid-Market SaaS100–110%
Enterprise SaaS110–130%+
Public SaaS LeadersOften 120–150%

💡 Best-in-class SaaS companies (like Snowflake or Datadog) often report NRR over 130%.


Net Revenue Retention vs Gross Revenue Retention

MetricIncludes Expansion?PurposeGood Benchmark
NRR✅ YesGrowth from existing base100%+
GRR❌ NoPure retention analysis85–95%

GRR helps evaluate churn performance only, while NRR gives a full picture of customer revenue dynamics.


Factors That Influence NRR

Positive Influencers

  • 🔁 Successful onboarding and customer success
  • 💬 Strong communication and QBRs (Quarterly Business Reviews)
  • 💡 Clear upgrade paths and tiered plans
  • 📦 Add-ons, feature packs, usage-based billing
  • 📊 Intelligent product usage tracking

Negative Influencers

  • ❌ Poor customer experience
  • 📉 Product limitations or bugs
  • 📭 Lack of proactive CSM involvement
  • 🧩 No tailored upsell strategy
  • 💰 Budget or organizational shifts on customer side

How to Improve NRR (Step-by-Step Framework)

Step 1: Measure & Monitor

  • Track NRR monthly, quarterly, and yearly
  • Break down by product line, segment, and customer cohort

Step 2: Expand Existing Accounts

  • Introduce relevant upsells and cross-sells based on usage and ICP
  • Launch customer success-driven expansion playbooks

Step 3: Minimize Churn & Contractions

  • Build predictive churn models using product usage and engagement
  • Proactively reach out to at-risk accounts with success plans

Step 4: Strengthen Onboarding and Support

  • Ensure early time-to-value
  • Use NPS and CSAT to identify friction points

Step 5: Align GTM Teams

  • Coordinate between sales, CSMs, and product teams
  • Reward expansion revenue via compensation plans

Real-World Use Case: CUFinder and NRR

CUFinder helps companies improve NRR by starting with the right-fit customers. With enriched firmographics, verified data, and buying intent signals, businesses can:

  • Acquire high-LTV customers
  • Reduce churn due to bad fit
  • Surface new decision-makers for upsell campaigns
  • Segment customers by expansion potential

Cited Sources


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