Net revenue retention (NRR): formula and benchmarks

Net revenue retention measures whether your existing customers grew or shrank in recurring revenue over a period. After upgrades, downgrades, and cancellations, did you end with more monthly recurring revenue from the same customer base?

If the answer is yes, net revenue retention (NRR) is above 100%. You grew without relying on new logos. If the answer is no, the base is shrinking even if sales keeps adding customers.

When to worry

You do not need a finance degree to read the bands. Use these rules of thumb:

• Above 110%: Strong. Expansion clearly beats churn and contraction.
• 100-110%: Growing, but slowly. Watch whether upsells keep pace.
• 90-100%: Shrinking. Losses from churn and downgrades are beating expansion.
• Below 90%: Serious retention problem. The existing base is leaking fast.

Trend matters as much as the snapshot. A company at 102% and falling needs attention even if it is technically above 100%.

NRR and GRR formulas

Net revenue retention (NRR) is the full picture: starting MRR from existing customers, plus expansion, minus contraction and churn. NRR can exceed 100%. That is the goal for healthy SaaS.

Gross revenue retention (GRR) strips out expansion. It answers a narrower question: ignoring upsells, how much of last period's revenue did you keep? GRR is always 100% or below. A GRR of 95% means you lost 5% of existing revenue to downgrades and cancellations, regardless of upsells.

NRR vs GRR: when to use each

NRR and GRR answer different questions. NRR shows whether the existing customer base is a growth engine or a leaky bucket. GRR shows how sticky the product is without the sales team's upsell motion.

Investors look at both. A company with 120% NRR but 80% GRR has strong expansion masking heavy churn. If upsells slow, the business is exposed. The healthiest companies pair high GRR (above 90%) with strong NRR (above 110%).

NRR benchmarks

Top-tier SaaS companies often reach 120%+ NRR: the existing base grows ~20% annually without new logos. Public SaaS averages roughly 110%. Below 100% means existing customers are net shrinking.

Strong NRR usually comes from pricing that expands with usage, product-led seat growth, and CS that catches contraction early. For the expansion side, see expansion signals.

How to calculate NRR

Worked example with round numbers.

Starting position: $100K MRR from existing customers at the beginning of the month.

Step 1. Identify expansion revenue: Existing customers added $12K: plan upgrades ($5K), additional seats ($4K), and cross-sell to new modules ($3K). Expansion MRR = $12K.

Step 2. Identify contraction: Two accounts reduced plans ($2K total) and one removed seats ($1K). Contraction MRR = $3K.

Step 3. Identify churned revenue: Three customers canceled, representing $5K in lost MRR. Churned MRR = $5K.

Step 4. Calculate NRR:

NRR = (($100K + $12K - $3K - $5K) / $100K) × 100

NRR = ($104K / $100K) × 100 = 104%

The existing customer base grew 4% this month before any new customers. Expansion offset the $8K lost to contraction and churn.

GRR for the same period:

GRR = (($100K - $3K - $5K) / $100K) × 100 = 92%

Without expansion, you would have retained 92% of revenue. Expansion is covering an 8% gross loss. If upsells slow, that gap shows up in NRR quickly.

Why NRR matters more than churn rate alone

Churn rate tells you what you lost. NRR tells you whether you grew or shrank net. Two companies with similar churn can have opposite trajectories.

Company A: 5% monthly revenue churn, 10% monthly expansion. NRR = 105%. The existing base is growing despite meaningful churn.

Company B: 3% monthly revenue churn, 1% monthly expansion. NRR = 98%. Lower churn, but the base shrinks ~2% per month. That compounds to a large annual decline from existing customers.

Investors focus on NRR because it captures the full economic relationship with the installed base. High NRR reduces dependence on new sales. For how churn enters the formula, see what is customer churn.

How health scores protect NRR

NRR has two levers: grow expansion and reduce losses. Health scores address the second by flagging accounts before they downgrade or cancel.

When usage fades (fewer logins, narrower features, longer gaps between sessions), revenue loss often follows in 30-60 days. A customer health score compresses those usage signals into one trend you can sort and act on.

A practical loop: detect the decline, alert the owner, intervene with something specific, then check whether usage and revenue recover. Teams that act in the monitor band (scores drifting down, not yet critical) preserve more MRR than those who react only at cancellation.

For the intervention receipt (ARR kept per save), see saved revenue. For save playbooks once an account is at risk, see how to reduce SaaS churn.