Customer Lifetime Value Calculator
Calculate customer lifetime value (CLV) by multiplying average order value, purchase frequency, and customer lifespan. Use it as the primary unit-economics metric to benchmark how much you can spend acquiring customers and to compare profitability across acquisition channels.
Last updated: May 2026
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About this calculator
The formula is: CLV = average order value × purchase frequency × customer lifespan. AOV is the typical dollar amount per order; frequency is orders per year per customer; lifespan is years a typical customer stays active before churning. So $80 AOV × 3 orders/year × 4 years = $960 revenue CLV. This is the simplest CLV formulation and serves as a directional planning tool. For unit-economics decisions, use gross-profit CLV: revenue CLV × gross margin. A $960 revenue CLV at 40% gross margin = $384 gross-profit CLV. Compare against customer acquisition cost (CAC) for the foundational unit-economics ratio: LTV:CAC ≥ 3:1 is the standard sustainability threshold, meaning every $1 spent acquiring a customer should produce at least $3 of gross profit over their lifetime. CAC payback period (months until cumulative gross profit covers CAC) is equally important — under 12 months excellent, 12-24 months acceptable for SaaS with strong retention, over 24 months concerning. Edge cases: zero frequency or lifespan produces zero CLV. The simple formula assumes constant frequency and AOV; real customers often spend less per order over time as initial excitement fades, or more per order as they trust the brand. Subscription businesses derive lifespan from churn rate: lifespan ≈ 1/monthly churn (in months) or 12/annual churn (in years). For DCF rigor, discount future cash flows at your cost of capital (typically 10-15%) — but for most planning, undiscounted CLV is good enough. Industry benchmarks: DTC ecommerce $300-1,500 CLV; subscription boxes $400-1,200; SaaS B2B $2,000-100,000+ depending on ACV and retention.
How to use
Example 1 — DTC apparel brand. AOV $85, frequency 2.5 orders per year, lifespan 3 years. Enter 85 for Average Order Value, 2.5 for Purchase Frequency, and 3 for Customer Lifespan. Result: $637.50 revenue CLV. Verify: 85 × 2.5 × 3 = 637.50. ✓ At 50% gross margin, gross-profit CLV is $318.75. At target LTV:CAC = 3:1, max sustainable CAC = $106. If current acquisition spend produces $80 CAC, you're at 4:1 LTV:CAC — healthy with headroom to scale. Example 2 — Subscription service. Monthly box at $35 (so AOV = $35), frequency 12 (monthly = 12 orders/year), lifespan 18 months = 1.5 years. Enter 35, 12, and 1.5. Result: $630. Verify: 35 × 12 × 1.5 = 630. ✓ Subscription CLV is dominated by retention — if monthly churn is 5%, lifespan = 1/0.05 = 20 months = 1.67 years, pushing CLV to 35 × 12 × 1.67 = $700. A modest churn improvement from 5% to 4% lifts lifespan from 20 to 25 months, increasing CLV from $700 to $875 — a 25% CLV gain from a 1-point churn reduction. This is why subscription businesses obsess over retention.
Frequently asked questions
Should I use revenue CLV or gross-profit CLV?
Use gross-profit CLV for unit economics decisions. A $1,000 revenue CLV at 30% gross margin is only $300 of true value to your business — you can't spend marketing dollars out of revenue, only out of gross profit. The standard LTV:CAC ratio target of 3:1 always uses gross-profit CLV; using revenue CLV produces a 3:1 ratio that's actually losing money. For SaaS with high gross margins (80-90%), revenue and gross-profit CLV are close; for ecommerce with 30-50% margins, they differ substantially. Some teams use net profit CLV (after operating costs), which is even more conservative but less actionable because operating costs are largely fixed in the short term. The default convention: report revenue CLV at the marketing dashboard level, gross-profit CLV at the unit-economics and board-reporting level.
How do I estimate customer lifespan?
For subscription businesses, lifespan = 1 / churn rate. Monthly churn of 5% means lifespan = 1/0.05 = 20 months. Annual churn of 25% means lifespan = 1/0.25 = 4 years. For transactional ecommerce, lifespan is harder to measure — define "active" as having purchased in the last 12 or 24 months, then look at cohort retention curves: of customers acquired in Year 1, what percentage purchased in Year 2? Year 3? The decay curve 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 history, use industry benchmarks: DTC ecommerce typically 2-4 years; subscription boxes 18-24 months; SaaS B2B 4-7 years; financial services 5-10 years. Recognize that benchmarks are rough; refine with your own data as it accumulates.
What does a 3:1 LTV:CAC ratio mean?
For every $1 spent acquiring a customer, the business generates $3 of gross profit over the customer's lifetime — leaving $2 of "margin over CAC" to cover all operating costs (salaries, rent, R&D, overhead) and produce net profit. Below 1:1 you're losing money on every acquisition. 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 might be under-investing in growth and should explore scaling acquisition spend. The 3:1 rule isn't magic; it emerged from SaaS venture-capital benchmarking as a heuristic for sustainable unit economics. CAC payback period matters alongside the ratio: under 12 months is excellent, 12-24 months acceptable for high-retention models, 24+ months concerning because acquisition cash is locked up for years before payback. Both metrics together (LTV:CAC and payback period) define unit-economics health.
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%/year, 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 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) — 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. For SaaS specifically, CLV = (ARPU × Gross Margin) / Churn is a common alternative that better captures subscription economics. The simple multiplicative formula here is great for directional planning and quick comparisons; for detailed unit-economics analysis, use a cohort-based model.