Enterprise Business LTV Calculator

A dollar earned in month 36 is not worth the same as a dollar earned today due to inflation and opportunity cost (Weighted Average Cost of Capital). Applying an Annual Discount Rate (typically 8% to 12% for SaaS) yields the 'Discounted Net LTV', providing a mathematically sound valuation of future cash flows.

Monthly Churn Rate dictates the expected lifespan of a customer. Mathematically, customer lifespan in months is calculated as 1 divided by your monthly churn rate. If your churn is 5%, the average customer stays for 20 months. High churn violently suppresses LTV.

Gross LTV is a vanity metric representing top-line revenue. Net LTV multiplies Gross LTV by your Gross Margin, subtracting the cost of delivering your service (hosting, support, COGS). Using Gross LTV to dictate marketing budgets will cause you to overspend and burn cash.

No. This tool operates entirely inside your device's browser using a constant-time O(1) mathematical matrix. Because it bypasses external APIs and server requests, valuation projections resolve instantly with zero latency.

Nothing meaningful, they're the same metric under two different names. 'Customer Lifetime Value' and 'Lifetime Value' are used interchangeably across SaaS, e-commerce, and marketing teams, so don't assume a CLV number from one report means something different from an LTV number in another.

The concept is the same, but the math looks different. Subscription businesses use churn rate to estimate customer lifespan, while one-time-purchase or e-commerce businesses typically use repeat purchase rate and average order value over a fixed time window, like 12 or 24 months, since there's no recurring bill to churn from.

3:1 is the widely cited benchmark, meaning a customer should be worth at least three times what it costs to acquire them. Below 1:1 you're losing money on every customer, and while a much higher ratio like 8:1 looks great on paper, it can also mean you're underinvesting in growth and leaving market share on the table.

Monthly if you're actively adjusting acquisition spend, quarterly at minimum for board reporting. Churn, pricing, and margin all drift over time, so an LTV number from six months ago can be meaningfully out of date, especially after a pricing change or a shift in your customer mix.

Not in this calculator's standard formula, which assumes a flat ARPU for the customer's lifespan. If a meaningful share of your revenue comes from upsells, seat expansion, or cross-sells, your real LTV is higher than the number shown here, and you may want to model expansion revenue as a separate addition.

8% to 12% annually is a reasonable default range for most SaaS and subscription businesses, and it's what we use in our presets. Earlier-stage or riskier businesses sometimes use a higher rate to reflect greater uncertainty in future cash flows, while more mature, cash-generating businesses can use something closer to 8%.

Higher ARPU directly increases LTV, assuming churn doesn't rise to offset it, which is why pricing changes are one of the fastest levers for improving unit economics. The risk is that a price increase can itself push churn up if customers feel the new price no longer matches the value they're getting, so it's worth watching churn closely after any price change.

Per segment, whenever you have meaningfully different customer types. A single blended LTV across enterprise and self-serve customers, for example, hides the fact that one segment might be worth ten times more than the other, which can badly distort your acquisition spending decisions if you're allocating budget based on the blended average.

Annual plans typically show lower churn because customers have already committed for a full year, which can make LTV look artificially strong if you're not careful about how you measure the churn rate. Make sure you're using a churn rate measured on the same billing cycle as your ARPU input, or the math will be inconsistent.

Using Gross LTV, which ignores your cost of delivering the product, to make spending decisions. It's an easy trap because Gross LTV is a bigger, more impressive-looking number, but basing your maximum CAC on it will lead you to overspend on acquisition and quietly bleed cash on every new customer.

They measure related but different things. LTV tells you the total profit a customer generates over their entire relationship with you, while CAC payback period tells you how many months it takes to simply recover what you spent acquiring them. A healthy business needs both a strong LTV and a reasonably short payback period, since a great LTV spread over five years of payback can still strain your cash flow.

Yes, but you'll typically substitute churn rate for a repeat purchase rate or purchase frequency over a defined window. A common e-commerce approach is average order value multiplied by average number of orders per year, multiplied by average customer lifespan in years, then adjusted for gross margin the same way this calculator does.

Yes, you should calculate LTV only on your paying users, not your entire free-plus-paid user base. Blending free users into ARPU and churn calculations dramatically understates your paying customers' real value and can make a healthy freemium business look unprofitable on paper.

Negative net churn, where expansion revenue from existing customers outpaces revenue lost to cancellations, effectively extends and increases LTV beyond what a simple churn-based formula predicts. Businesses with strong negative churn often see their real customer value compound over time in a way that a flat-ARPU LTV calculation can understate.

Historical LTV looks backward at what past customer cohorts have actually generated in revenue and profit, while predictive LTV, like the DCF model used here, projects forward based on current churn, margin, and pricing assumptions. Predictive LTV is more useful for forward-looking decisions like budget planning, but it's only as accurate as the assumptions you feed into it.

LTV, especially alongside the LTV:CAC ratio, is one of the clearest signals of whether a business model actually works at scale. A founder who can show a healthy, well-supported LTV number is demonstrating they understand their own unit economics, not just their growth rate, which matters a lot more once a company moves past the earliest stages of fundraising.

The Rule of 40, where growth rate plus profit margin should exceed 40%, and LTV are both proxies for the same underlying question: is this business creating durable value efficiently? A company can hit the Rule of 40 through growth alone, but a strong LTV suggests that growth is being built on customers who actually stick around and generate profit, not just top-line revenue that churns straight back out.

It's worth doing if you have the data, since customers from different channels often have meaningfully different churn rates and spending behavior. A customer acquired through a high-intent referral often has a very different LTV than one acquired through a low-intent paid social ad, even if their initial ARPU looks identical.

Use a rolling average, typically over 3 to 6 months, rather than a single month's churn figure, since one unusually good or bad month can swing your calculated LTV dramatically. Wild month-to-month churn swings are also worth investigating on their own, since they often point to a specific cohort or event rather than a stable underlying trend.

Gross margin subtracts only the direct cost of delivering your product or service, like hosting or support, while net margin also subtracts overhead like sales, marketing, and administrative costs. This calculator uses gross margin, which is the standard approach for LTV, since operating costs are already accounted for separately when you compare LTV against CAC.

Generally yes, but only if it's paired with a CAC and payback period your cash flow can actually support. A very high LTV built on a small number of slow-paying enterprise customers can still create cash flow problems if the payback period stretches out too long, so LTV should always be read alongside payback period and available capital, not in isolation.