Customer Lifetime Value Calculator
Estimate the total revenue a typical customer generates over their relationship with your business by multiplying average order value, purchase frequency, and customer lifespan. Use it as the fundamental ecommerce profitability metric to compare against customer acquisition cost and decide how much you can afford to spend acquiring each customer.
Last updated: May 2026
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About this calculator
The formula is: CLV = average order value × purchase frequency × customer lifespan. Average order value is the typical dollar amount of a single order ($X). Purchase frequency is how often a typical customer orders per year (times/year). Lifespan is the number of years a typical customer stays active before churning. So a $50 AOV × 3 orders/year × 4 years = $600 CLV — that's the total revenue you can expect from acquiring a new customer over their lifetime. This is the simplest CLV formulation and ignores several important factors. (1) Gross margin: a $600 revenue CLV at 60% gross margin is only $360 of gross-profit-CLV; for unit-economics decisions, use gross-profit CLV not revenue CLV. (2) Churn rate: customer lifespan is the inverse of monthly churn (12 / annual churn % gives years; or 1/monthly churn gives months); subscription businesses derive lifespan from cohort retention curves rather than a single point estimate. (3) Discount rate: dollars received 4 years from now are worth less in today's terms; for rigorous CLV, discount future cash flows at your cost of capital (typically 10–15%) to get net present value CLV. (4) Customer acquisition cost (CAC): CLV alone is meaningless without comparison — the standard target is CLV:CAC ≥ 3:1 to be sustainable, with payback period under 12 months. Edge cases: zero frequency or lifespan produces zero CLV. The formula assumes constant frequency and AOV, but real customers often spend less per order over time as initial excitement fades, or more per order as they trust the brand — model both scenarios for sensitivity analysis.
How to use
Example 1 — DTC apparel brand. Average order value $85, purchase frequency 2.5 orders per year, customer lifespan 3 years. Enter 85 for Avg Order, 2.5 for Frequency, and 3 for Lifespan. Result: $637.50. Verify: 85 × 2.5 × 3 = 637.50. ✓ Revenue CLV of $637.50 means you can afford up to ~$212 in CAC at a 3:1 LTV:CAC ratio for sustainable unit economics. At 50% gross margin, gross-profit CLV is $318.75 — and if you use that for the ratio, max CAC drops to ~$106. Example 2 — Subscription box service. Average monthly box $35 (so AOV = $35), frequency 12 (monthly), lifespan 18 months = 1.5 years. Enter 35 for Avg Order, 12 for Frequency, and 1.5 for Lifespan. Result: $630. Verify: 35 × 12 × 1.5 = 630. ✓ Subscription CLV is highly sensitive to churn — if monthly churn is 6%, the average lifespan is ~16.7 months (1/0.06 = 16.7), pushing CLV to roughly 35 × 12 × 1.39 = $584. Track cohort retention curves rather than assuming a flat lifespan number.
Frequently asked questions
What is the difference between revenue CLV and gross profit CLV?
Revenue CLV is total revenue per customer over their lifetime; gross profit CLV is that revenue multiplied by your gross margin. For unit-economics decisions and CAC analysis, gross profit CLV is the right metric — you can only spend marketing dollars out of gross profit, not revenue. A $500 revenue CLV at 60% gross margin is $300 of gross profit CLV; a $500 revenue CLV at 25% gross margin is just $125 of gross profit. For SaaS and digital products with 80–90% gross margins, the gap is small; for ecommerce with 30–50% gross margins, it's huge. The LTV:CAC ratio (typically targeting 3:1 minimum for sustainability) should always use gross profit CLV in the numerator. Net profit CLV (after operating costs) is sometimes used but is less actionable because operating costs are largely fixed in the short term.
How do I estimate customer lifespan?
For subscription businesses, lifespan is the inverse of churn rate. Monthly churn of 5% means average lifespan of 1/0.05 = 20 months. Annual churn of 25% means lifespan of 1/0.25 = 4 years. For transactional ecommerce, lifespan is harder to measure — define a customer as "active" if they've purchased in the last X months (commonly 12 or 24), then look at cohort retention curves: of customers acquired in 2022, what percentage purchased again in 2023? In 2024? The decay curve over time is the empirical lifespan distribution. A weighted-average approach: lifespan = Σ(customers active in year N × N) / total customers ever acquired. For early-stage businesses without much history, use industry benchmarks (DTC ecommerce typically 2–4 years; subscription boxes 18–24 months; SaaS B2B 4–7 years) but recognize the uncertainty.
What is the LTV:CAC ratio and why does it matter?
LTV:CAC ratio is the ratio of customer lifetime value (typically gross profit CLV) to customer acquisition cost. The standard rule of thumb is a 3:1 ratio for sustainable growth — you generate $3 of gross profit for every $1 spent acquiring a customer. Below 1:1 you're losing money on each acquisition (every new customer is unprofitable). 1–3:1 indicates breakeven or modest profitability but limited budget for growth investment. 3–5:1 is the healthy sweet spot — strong unit economics with reinvestment headroom. Above 5:1 you're potentially underinvesting in growth and should explore increasing acquisition spending. CAC payback period (months until cumulative gross profit covers CAC) is equally important: under 12 months is excellent for any business; 12–24 months is acceptable for SaaS with high retention; over 24 months is concerning for any model. Top-quartile ecommerce businesses target LTV:CAC of 4:1+ with 6–12 month payback.
What are the most common mistakes people make calculating CLV?
The biggest is using revenue CLV instead of gross profit CLV for unit-economics decisions, dramatically overstating the budget available for acquisition. The second is using a single-point lifespan estimate when real customer retention follows a decay curve — average customers might churn at 25% annually, but a small "VIP" cohort sticks around 10+ years and contributes disproportionate value; treating all customers as a single average misses this. The third is ignoring time value of money for long-lifespan businesses — $500 of CLV spread over 10 years is worth less than $500 over 2 years in today's dollars. The fourth is computing CLV on too-small a customer base, producing unstable estimates. The fifth is using historical CLV to set forward acquisition budgets without checking whether new-customer cohorts behave like old ones — product, pricing, and channel changes can shift CLV substantially. Finally, many businesses don't segment CLV — first-time vs returning customers, paid vs organic acquisition, different SKU categories often have very different CLVs and require different acquisition strategies.
When should I not use this simple CLV formula?
Skip it for subscription businesses with non-trivial churn dynamics — use a cohort-based retention model that accounts for the decay curve over time, not a single lifespan estimate. It is the wrong tool for very young businesses with insufficient customer history (under 12–24 months) — your AOV, frequency, and especially lifespan estimates are unstable, and CLV calculations are essentially guesses. Do not use it for B2B businesses with very long sales cycles and lumpy purchase patterns — discrete-event simulation or sales-pipeline modeling are more appropriate. It is also a poor fit for marketplaces and platforms where customer behavior depends on the supply-demand equilibrium, not just historical patterns. For more rigorous CLV measurement, use cohort retention curves with discounted cash flow analysis: project future cash flows per customer cohort, discount back to present value at your cost of capital, sum across cohorts. For SaaS specifically, the formula CLV = (ARPU × Gross Margin) / Churn is a common alternative that better captures subscription economics.