Net revenue retention

Definition

Net revenue retention (NRR) measures the percentage of recurring revenue retained from existing customers over a specific period, accounting for expansion, contraction, and churn. NRR indicates whether your existing customer base is growing or shrinking in value.

Key principle: NRR focuses exclusively on existing customers, excluding new customer revenue to isolate retention and expansion performance.

Formula

NRR = (Starting MRR + Expansion MRR - Contraction MRR - Churn MRR) ÷ Starting MRR × 100

Component breakdown

ComponentDefinitionImpact on NRR
Starting MRRRecurring revenue from existing customers at period startBaseline (denominator)
Expansion MRRRevenue increases from existing customersPositive
Contraction MRRRevenue decreases from existing customersNegative
Churn MRRRevenue lost from customer cancellationsNegative

Note: New customer revenue is explicitly excluded from NRR calculation.

Business significance

Performance interpretation

NRR RangeBusiness HealthStrategic Implication
>110%ExceptionalStrong expansion, minimal churn - high growth potential
100-110%HealthyGood retention with moderate expansion
90-100%ConcerningRevenue decline from existing customers
<90%CriticalSignificant retention issues requiring immediate action

Strategic importance

Growth sustainability: High NRR indicates sustainable growth from existing customer investment
Product-market fit: Strong NRR suggests customers find increasing value in your solution Expansion opportunity: Shows effectiveness of upsell and cross-sell strategies Churn impact: Reveals true cost of customer acquisition vs. retention Investor confidence: Key SaaS metric for valuation and growth assessment

Industry benchmarks

  • Best-in-class SaaS: 120%+ NRR
  • Good SaaS companies: 110-120% NRR
  • Average performance: 100-110% NRR
  • Below average: < 100% NRR

Calculation methodology in Zenskar

Data sources

  • Monthly recurring revenue (MRR) from active subscriptions
  • Customer cohort tracking to identify existing vs. new customers
  • Subscription change events (upgrades, downgrades, cancellations)
  • Usage-based billing adjustments normalized to monthly values

Time period considerations

  • Monthly NRR: Month-over-month retention analysis
  • Annual NRR: Year-over-year retention for seasonal businesses
  • Cohort-based NRR: Retention by customer acquisition period

Visualization components

NRR trend chart

Chart type: Line chart tracking NRR percentage over time

Key visual elements:

  • X-axis: Time periods (months/quarters)
  • Y-axis: NRR percentage (typically 80-120% range)
  • Benchmark line: 100% NRR reference line
  • Trend indicators: Color coding for performance ranges

Interpretation guidelines:

  • Upward trends: Improving expansion and retention
  • Consistent >100%: Healthy existing customer growth
  • Volatility: Investigate underlying expansion/churn patterns
  • Declining trends: Early warning of retention issues

NRR breakdown table


Data structure: Detailed monthly components for analysis

Key columns:

  • Period: Month/quarter identifier
  • Starting MRR: Baseline existing customer revenue
  • Expansion MRR: Upsell and expansion revenue
  • Contraction MRR: Downgrade and reduction amounts
  • Churn MRR: Lost revenue from cancellations
  • NRR %: Calculated retention percentage

Advanced analysis techniques

Cohort-based NRR analysis

Track NRR by customer acquisition cohort:

Cohort NRR = Revenue from [Acquisition Cohort] in [Period N] ÷
Initial Revenue from [Acquisition Cohort] × 100

Segmented NRR analysis

  • By customer size: Enterprise vs. SMB retention patterns
  • By product line: Individual product retention performance
  • By acquisition channel: Channel effectiveness for long-term value
  • By geographic region: Regional retention variations

Leading indicators

  • Expansion MRR growth: Early signal of improving NRR
  • Contraction MRR increases: Warning sign of declining NRR
  • Customer health scores: Predictive indicator of future NRR
  • Product usage metrics: Correlation with retention performance

Relationship to other metrics

Complementary metrics

**Gross Revenue Retention (GRR) **: Pure retention excluding expansion effects

  • GRR focuses on baseline retention
  • NRR adds expansion impact
  • Together provide complete retention picture

**Monthly Recurring Revenue (MRR) **: Overall revenue trend context

  • MRR shows total growth including new customers
  • NRR isolates existing customer performance
  • Combined analysis shows growth composition

**Customer churn rate **: Customer-level retention metrics

  • Churn rate measures customer count retention
  • NRR measures revenue retention
  • Revenue retention often outperforms customer retention due to expansion

Metric relationships

  • High NRR + High GRR: Excellent retention with strong expansion
  • High NRR + Lower GRR: Expansion masking retention issues
  • Low NRR + Low GRR: Fundamental retention problems
  • Stable NRR + Growing MRR: Balanced new customer acquisition and retention

Optimization strategies

Improving expansion revenue

  • Usage-based pricing: Align revenue with customer value realization
  • Product bundling: Encourage multi-product adoption
  • Success-driven upsells: Time upgrades with usage milestones
  • Account management: Dedicated resources for expansion opportunities

Reducing contraction and churn

  • Customer health monitoring: Proactive intervention systems
  • Onboarding optimization: Ensure strong initial product adoption
  • Regular business reviews: Maintain alignment with customer goals
  • Competitive analysis: Address feature gaps causing churn

Measurement best practices

  • Regular monitoring: Monthly NRR tracking and analysis
  • Segment analysis: Identify high-performing customer segments
  • Predictive modeling: Forecast NRR trends and intervention needs
  • Cross-functional alignment: Share insights across sales, CS, and product teams

NRR is automatically calculated based on your subscription data and customer activity. Historical data allows for trend analysis and benchmarking.