Source: https://www.revvly.ai/blog/net-dollar-retention-vs-net-revenue-retention Retention / NRR 6 min read Aug 18, 2026 # Net dollar retention vs. net revenue retention: are they the same thing? If you've sat in a SaaS board meeting, you've probably seen both terms used as if they mean different things. In standard usage, they don't. SA Samuel Adeyemo Revenue Systems, Revvly Short answer Net dollar retention and net revenue retention are, in standard usage, the same calculation: existing customers’ revenue now, including expansion and net of contraction and churn, divided by their revenue at the start of the period, excluding new customers. The names differ by convention, so what matters is calculating it consistently. Key takeaways - NDR and NRR generally mean the same thing; the difference is which term a company or investor prefers. - Formula: (starting recurring revenue + expansion − contraction − churn) ÷ starting recurring revenue, with new customer revenue excluded. - Above 100 percent means the existing base is growing before any new sales. - The real risk is inconsistent inputs: different systems, edge-case handling and manual recalculation can move the number even when its name is agreed. If you've sat in a SaaS board meeting, read an investor update, or scrolled through a public company's earnings call transcript, you've probably seen both terms: net dollar retention (NDR) and net revenue retention (NRR). They show up in different pitch decks, different benchmark reports, and sometimes in the same conversation, used as if they mean different things. That confusion is common, and it's worth clearing up directly: in the overwhelming majority of cases, NDR and NRR describe the same underlying calculation. The difference is naming convention, not methodology. ## The calculation, in plain terms Both metrics start from the same question: of the revenue you had from existing customers at the start of a period, how much of it do you still have at the end, after accounting for upgrades, downgrades, and cancellations, but before counting any revenue from new customers acquired during that period? The general formula looks like this: (Starting recurring revenue + expansion revenue − contraction revenue − churned revenue) ÷ Starting recurring revenue If that number comes out above 100%, your existing customer base is growing in revenue terms even before you sign a single new logo, because upgrades and expansion are outpacing downgrades and cancellations. If it's below 100%, your existing base is shrinking even if new sales are strong. That's why growth-stage SaaS investors treat this number as one of the more honest signals in a business: it isolates how well you retain and grow the customers you already have, separate from how good you are at acquiring new ones. Whether a company calls that number "net dollar retention" or "net revenue retention," the formula behind it is generally the same. Some investors and operators use the terms interchangeably in the same sentence. A few frameworks draw finer distinctions, for example around exactly how multi-year contracts or one-time fees are treated, but the core concept, revenue retained and expanded from an existing cohort, is shared across both terms in standard usage. ## Why the terminology varies at all Part of the answer is simply history. SaaS metrics as a category developed across many companies, VCs, and analysts roughly in parallel over the past decade and a half, without a single standards body defining the vocabulary. "Dollar" and "revenue" ended up as synonyms in this context, similar to how a company's board deck might say "annual recurring revenue" while its finance team's spreadsheet header says "ARR run rate" and both mean the same underlying number. Different venture firms and different operators picked one term or the other, it stuck internally, and it propagated into their portfolio companies' reporting templates. Harvard Business Review and other management publications have long noted that a meaningful part of the difficulty in retention economics isn't the math itself, it's getting an organization to agree on a single definition and apply it consistently, since even small differences in what counts as "starting revenue" or how a mid-period downgrade is timed can move the number by several points.[1] That's a useful reminder that the bigger risk with NDR and NRR isn't that the two names mean different things, it's that two teams using the same name can still calculate it differently if their inputs aren't consistent. ## Where this actually causes problems The terminology overlap is mostly harmless once you know it exists. The bigger practical issue is when a company's own reporting isn't internally consistent, for reasons that have nothing to do with naming: **Different systems, different definitions.** If finance calculates retention from billing data in one export and customer success calculates a similar-sounding number from a different system, the two numbers can diverge even if everyone agrees on what to call it, simply because the underlying data doesn't match. **Inconsistent treatment of edge cases.** How you handle a customer who pauses mid-quarter, a multi-year contract billed annually, or a plan downgrade that takes effect on a different date than it was requested, all of these choices affect the number, and if they aren't applied the same way every time, the metric drifts even when nothing about the business has changed. **Manual recalculation.** When retention is computed by hand each quarter in a spreadsheet, it's easy for the formula itself to quietly change between quarters as different people maintain it, which makes trend lines unreliable even if each individual number is defensible. **A gap between what's reported internally and what's reported to investors.** A number that looks good on an investor slide but doesn't match what the CS or RevOps team sees day to day erodes trust fast, and it usually surfaces during diligence at the worst possible time. ## Why one real-time number beats two spreadsheets The fix isn't a better definition of NDR versus NRR, since as covered above, they're generally the same thing. The fix is computing the number the same way, automatically, from the same underlying subscription data, every time. When retention is calculated directly from live subscription records rather than reconstructed manually each reporting cycle, everyone in the company, whether they call it NDR or NRR, is looking at the same figure, calculated the same way, updated continuously. That's the practical case for consolidating billing, invoicing, and subscription data into one system rather than splitting it across a payments processor, a CRM, and a set of spreadsheets. Real-time [MRR, ARR, and NRR dashboards](https://www.revvly.ai/early-access) mean the retention figure a founder shows a board isn't a special export prepared the week before the meeting, it's the same number the finance and customer success teams see every day, with the same [revenue visibility](https://www.revvly.ai/early-access) into where expansion and contraction are actually coming from. That visibility also connects directly to the levers that move the number. If contraction is concentrated in a specific segment, that's a signal for where [AI-powered churn prediction](https://www.revvly.ai/early-access) and targeted [automated retention workflows](https://www.revvly.ai/early-access) can have the most impact, since retention isn't just a reporting exercise, it's an outcome of how proactively a team responds to early signs of risk. And because pricing and packaging changes affect expansion revenue directly, having [modular pricing](https://www.revvly.ai/pricing) that supports upgrades, bundles, and usage-based add-ons gives a company more ways to grow revenue from its existing base, which is the entire point of tracking this metric in the first place. ## A simple example Say a company starts a quarter with $500,000 in monthly recurring revenue from its existing customers. Over the quarter, existing customers add $40,000 in expansion revenue through upgrades and add-ons, $15,000 downgrades to lower plans, and $10,000 cancels outright. New customer revenue isn't part of this calculation at all. ($500,000 + $40,000 − $15,000 − $10,000) ÷ $500,000 = 103% Whether that 103% appears on a slide labeled "NDR" or one labeled "NRR," it's telling the same story: this company's existing customers are worth more in aggregate at the end of the quarter than they were at the start, before any new sales are counted. ## Frequently asked questions **Is net dollar retention the same as net revenue retention?** In standard usage, yes. Both terms generally describe the same calculation: revenue retained and expanded from an existing customer base over a period, excluding new customer revenue. The difference is almost always which term a particular company, investor, or report happens to use, not a difference in methodology. **Why do different companies use different terms for the same metric?** SaaS metrics developed across many companies and investors without a single standards body, so "dollar" and "revenue" became interchangeable in this context. Which term sticks tends to come down to convention within a particular firm or industry, more than a substantive distinction. **What's a good net revenue retention benchmark?** Benchmarks vary by company stage, segment, and pricing model, and change over time, so it's more useful to track your own trend and understand what's driving it than to chase a single external number. Generally, retention above 100% indicates existing customers are expanding faster than they're churning or downgrading. **Does Revvly calculate NDR or NRR for us?** Revvly computes retention metrics directly from live subscription data through real-time MRR, ARR, and NRR dashboards, so the number is consistent and doesn't need to be manually reconciled from separate systems each reporting period. **What causes NDR or NRR to drop even when new sales are strong?** A drop usually means contraction (downgrades) or churn among existing customers is outpacing expansion, which new sales don't offset since this metric intentionally excludes new customer revenue. It's a signal to look at retention and expansion within the existing base specifically. ## Sources 1. Harvard Business Review, on the challenges of applying subscription and retention metrics consistently across an organization, noting that definitional drift between teams is a more common source of reporting error than the underlying formula itself. ## Frequently asked questions ### Is net dollar retention the same as net revenue retention? In standard usage, yes. Both terms generally describe the same calculation: revenue retained and expanded from an existing customer base over a period, excluding new customer revenue. The difference is almost always which term a particular company, investor, or report happens to use, not a difference in methodology. ### Why do different companies use different terms for the same metric? SaaS metrics developed across many companies and investors without a single standards body, so "dollar" and "revenue" became interchangeable in this context. Which term sticks tends to come down to convention within a particular firm or industry, more than a substantive distinction. ### What's a good net revenue retention benchmark? Benchmarks vary by company stage, segment, and pricing model, and change over time, so it's more useful to track your own trend and understand what's driving it than to chase a single external number. Generally, retention above 100% indicates existing customers are expanding faster than they're churning or downgrading. ### Does Revvly calculate NDR or NRR for us? Revvly computes retention metrics directly from live subscription data through real-time MRR, ARR, and NRR dashboards, so the number is consistent and doesn't need to be manually reconciled from separate systems each reporting period. ### What causes NDR or NRR to drop even when new sales are strong? A drop usually means contraction (downgrades) or churn among existing customers is outpacing expansion, which new sales don't offset since this metric intentionally excludes new customer revenue. It's a signal to look at retention and expansion within the existing base specifically. SA Samuel Adeyemo Revenue Systems, Revvly Samuel builds the systems that turn billing events into trustworthy revenue numbers. He writes about retention, pricing, and the operational details that decide whether the metrics hold up. Revvly Orchestrate the flow of revenue. © 2026 AcceleratorApp Limited. All rights reserved.