Average Revenue Per New Logo

What it measures

The sum of annual contract values (CARR — each contract's value divided by its term in years) for all logos acquired in the current period, divided by the count of those new logos. It excludes renewals, expansions, and downsells of existing customers — only first-time contracts count.

Why it matters

You track ARPNL because it answers "what is the quality of the new business we're winning?" CAC tells you the cost to acquire a logo; ARPNL tells you the revenue size of the logos you land. If ARPNL is falling while CAC holds or rises, your payback period is quietly getting worse — you're spending the same to acquire smaller customers. Sales and product teams use ARPNL to monitor whether the company is competing at the right price point and customer tier.

How to read it

A higher ARPNL means each new customer signs a larger contract on average. Read it as a trend, not a snapshot: track it each quarter and compare to the prior year. Stable ARPNL means a consistent new-customer mix; declining ARPNL means you may be losing pricing power, shifting downmarket, or selling into SMB instead of mid-market. Always pair it with new-logo count — growing ARPNL + growing logos is the best case; growing ARPNL + falling logos means bigger deals to fewer buyers (more concentration risk); falling ARPNL + growing logos can signal market expansion but lower-value deals.

What good looks like

Watch-outs

• Mixing in renewals or expansions. ARPNL should count only revenue from contracts a logo signs for the first time — upsells of existing customers inflate the numerator and distort the metric.
• Leaving 'new logo' undefined. If an account churned two years ago and re-signs, is it new? Pick a rule (usually first contract ever, or first contract after a defined gap) and apply it consistently every period.
• Comparing across contract terms without normalizing. A 3-year deal at $72K carries the same CARR as a 1-year deal at $24K/year — always use CARR (ARR-equivalent), never TCV.
• Letting seasonality fool you. If big deals cluster in Q4, Q4 ARPNL spikes and Q1 looks weak. Use a TTM ARPNL to smooth deal-timing noise before drawing conclusions.

Worked example