Gross & Net Revenue Retention Calculator
Gross revenue retention and net revenue retention for a customer cohort from starting recurring revenue, churn, contraction and expansion — GRR, NRR, logo retention, the growth you get with zero new customers, and what NRR implies for LTV.
How it works
GRR = (start − churn − contraction) ÷ start (capped at 100%); NRR = (start − churn − contraction + expansion) ÷ start; logo retention = 1 − churned customers ÷ starting customers; revenue lifetime ≈ 1 ÷ (1 − GRR)
Revenue retention follows one cohort of customers over a year and asks how much of their recurring revenue is still there. Gross retention counts only losses — cancelled accounts and downgrades — and so can never exceed 100%; it measures how sticky the product is. Net retention adds back expansion from upsells, seat growth and price increases, and when it exceeds 100% the existing base grows by itself, which is the engine behind the best software companies: a 120% NRR business doubles a cohort’s revenue in under four years without selling to a single new customer. The two must be read together — high NRR on weak GRR means a few big accounts are expanding while many small ones leave, a fragile pattern. Logo retention and the change in revenue per surviving account separate the “who left” from the “how much do the rest spend” stories.
Worked example
A cohort worth $1.0 M a year ago lost $80 k to churned customers and $40 k to downgrades but added $230 k of expansion: GRR 88.0% (typical SMB), NRR 111.0% (strong). 356 of 400 logos remained (89%), each now worth $3,118 instead of $2,500; left alone the cohort would be 168% of today’s revenue in five years.
Frequently asked questions
Which customers go in the cohort?
Everyone who was a customer at the start date; customers acquired during the year are excluded from both numerator and denominator, and their expansion does not count.
Monthly or annual?
Annual is standard for reporting; monthly NRR compounds (0.99¹² ≈ 0.886), so never compare a monthly figure with an annual benchmark.
Related calculators
Marketing analytics from the figures entered; attribution windows, platform definitions and sampling vary, so compare like with like over time rather than against generic benchmarks alone.