Consulting · Brand · E-commerce
FREE UNIT ECONOMICS TOOL
Customer Lifetime Value (LTV) Calculator
Customer Lifetime Value (LTV) estimates how much revenue an average customer generates across the time they remain a customer. Start with average order value, purchase frequency and customer lifespan. Add gross margin and customer acquisition cost only if you want a profit-adjusted view of the economics.
This calculator gives you the number first, then helps you test how changes in order value, repeat purchases and retention would change it.
Calculate your customer lifetime value
Start with three numbers. Add margin and CAC only when you want a profit-adjusted view.
READ THE NUMBER CORRECTLY
What the LTV calculation means
Average order value
The average revenue from one completed order. Use one consistent currency and a reporting period that matches the customer group you are analyzing.
Purchase frequency
The average number of completed purchases one customer makes per year. If your source data is monthly, convert it before comparing it with an annual frequency.
Customer lifespan
The average time a customer remains economically active. The calculator accepts months or years and converts the unit automatically.
Gross margin
Optional. This converts revenue LTV into a gross-profit estimate after direct cost of goods or service delivery. Gross margin is not markup and it is not net profit.
Customer acquisition cost
Optional. CAC is what it costs to acquire a new customer using a consistent spend and attribution method. It does not change LTV; it helps you compare value created with acquisition cost.
REVENUE IS NOT PROFIT
Revenue LTV vs gross-profit LTV
The base formula calculates revenue LTV. It estimates how much revenue a customer generates over the relationship; it does not tell you how much profit is left.
If you provide gross margin, the calculator also shows gross-profit LTV. That second number is more useful when you want to compare the value left after direct delivery costs with what you spent to acquire the customer.
Useful for understanding customer revenue over time.
Useful for a margin-adjusted view of customer economics.
HYPOTHETICAL EXAMPLE
A transparent LTV calculation
Imagine a business with an average order value of $60. Its average customer buys 3 times per year and remains active for 2 years.
If gross margin is 60%, the gross-profit LTV is:
This is an illustrative example, not a YEB client result.
VALUE CREATED VS COST TO ACQUIRE
LTV and CAC answer different questions
LTV tells you the value created from a customer over time. CAC tells you what it costs to acquire that customer. The relationship between them helps you reason about acquisition economics, but neither metric is sufficient on its own.
If margin is available, compare CAC with the margin-adjusted LTV rather than silently treating revenue as profit. If margin is missing, the calculator labels the ratio as revenue LTV:CAC so the limitation stays visible.
Interpret in the context of your margins, cash flow, payback period, repeat behavior and business model—not a universal benchmark.
THE FOUR LEVERS
How to increase LTV without treating it as one number
The formula exposes the levers. The calculator’s scenario controls let you test them before you decide which operational change is realistic.
Increase average order value
Build bundles around a complete use case, create a relevant post-purchase cross-sell, or redesign thresholds so customers add useful products rather than discount-only items.
Increase purchase frequency
Time replenishment reminders to actual product usage, create a logical next purchase, or use post-purchase education to help the customer reach the next need sooner.
Increase customer lifespan
Improve onboarding, resolve service failures before they become churn, identify why good-fit customers stop buying, and make the next stage of the relationship clear.
Improve gross margin
Review product mix, shipping and packaging economics, supplier terms, discount discipline and which offers create revenue without enough contribution.
Important: in the simple multiplicative formula, the same percentage increase in AOV, purchase frequency or customer lifespan creates the same percentage increase in revenue LTV. The best lever is therefore the one the business can improve sustainably—not the one with the most dramatic label.
UNIT ECONOMICS ARE DOWNSTREAM
Lifetime economics are affected by more than the spreadsheet
AOV, repeat purchase behavior and retention are numerical outputs, but the reasons behind them often sit upstream: customer fit, the offer, the experience after purchase, proof, communication and how well the next purchase makes sense.
This does not mean every LTV problem requires a brand or content intervention. It means the number should point you toward the business mechanism that actually drives it.
COMMON CALCULATION MISTAKES
Keep the inputs comparable
- Calling revenue LTV profit. Revenue does not account for the direct cost of delivering the product or service.
- Mixing time units. Monthly purchase frequency and yearly lifespan will overstate the result unless they are normalized.
- Mixing customer groups. AOV from one segment and repeat frequency from another can create an average that represents nobody.
- Using markup as gross margin. They are not the same percentage.
- Comparing revenue LTV with CAC as if it were profit. The calculator labels this limitation when margin is missing.
- Guessing lifespan without saying it is an assumption. Prefer observed cohort history when enough data exists.
- Letting an average hide segments. A single LTV can conceal large differences between acquisition sources, products or customer cohorts.
METHODOLOGY & LIMITS
A transparent planning estimate, not a cohort model
This calculator uses a deliberately simple average-based model: AOV × purchases per customer per year × customer lifespan in years. It is useful when you want a transparent estimate from inputs you can explain.
It does not model a retention curve, changing churn over time, discounted cash flow, taxes, refunds, return rates, financing costs or contribution costs beyond the gross-margin percentage you supply.
Use a more advanced model when
- you have cohort-level repeat-purchase data;
- subscription churn is the main lifetime driver;
- customer behavior changes materially over tenure;
- the time value of cash is important to the decision.
Use consistent evidence
- orders and revenue from the same customer population;
- observed repeat behavior over a stable window;
- gross margin from the same offer/product mix;
- CAC from a consistent attribution definition.
FROM NUMBER TO DECISION
Use the result to find the mechanism worth improving
If you want help diagnosing unit economics, the Consultation path is the direct next step. Brand Brain & Muscles is relevant only when the economics problem is connected to a broader customer, offer, message, content or execution system.