Free LTV Calculator โ€” Customer Lifetime Value

Calculate basic LTV, gross margin LTV, LTV:CAC ratio, and year-by-year cumulative value.

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LTV Calculator
The average amount a customer spends per transaction or order.
How many times per year the average customer makes a purchase.
How many years the average customer continues buying from you.

Optional โ€” for advanced metrics

Your gross margin percentage. Used to calculate gross margin LTV.
Your CAC. Used to calculate the LTV:CAC ratio.

Enter purchase value, frequency, and customer lifespan to see lifetime value.

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What Is Customer Lifetime Value (LTV)?

Customer Lifetime Value โ€” abbreviated as LTV or CLV (Customer Lifetime Value) โ€” is the total revenue a business expects to generate from a single customer throughout the entire duration of their relationship. It is one of the most strategically important metrics in business because it defines the upper bound of how much you can rationally afford to spend acquiring a new customer. A business that knows its LTV can make confident, data-driven decisions about marketing budgets, acquisition channels, product investment, and customer success staffing.

The foundational LTV formula used in this calculator is: LTV = Average Purchase Value ร— Purchase Frequency per Year ร— Average Customer Lifespan in Years. Using the built-in example: $50 average order ร— 4 purchases per year ร— 3 years = $600 LTV. This means the average customer is worth $600 in total revenue over their relationship with the business.

LTV and CLV are used interchangeably in most business contexts. Some academic models distinguish between them (CLV sometimes incorporates the time value of money through discounted cash flow), but for practical business decision-making the terms are equivalent. This calculator uses the simpler, undiscounted formula that is standard in startup and SaaS contexts.

LTV vs CLV: Key Differences

While LTV and CLV are often used interchangeably, the distinction matters in advanced financial modeling. The basic LTV formula (used here) treats all future revenue as equally valuable โ€” a dollar of revenue in year 3 is worth the same as a dollar in year 1. The discounted CLV model applies a discount rate to future cash flows, recognizing that money today is worth more than money in the future.

For most operational purposes โ€” setting CAC targets, evaluating channel efficiency, prioritizing product investments โ€” the undiscounted LTV formula is sufficient and much simpler to apply. The discounted CLV model is more relevant for formal financial valuation, investor models, and academic research. When investors ask about your "LTV," they almost always mean the simpler formula unless they specifically ask for a discounted model.

Gross margin LTV is a more useful metric than basic LTV for evaluating true profitability, because it accounts for the cost of delivering the product or service. If your LTV is $600 but your gross margin is 60%, your gross margin LTV is $360 โ€” the profit contribution per customer lifetime after direct costs. Gross margin LTV is the most relevant figure for assessing whether your unit economics are sustainable and for calculating a meaningful LTV:CAC ratio.

How to Improve Customer Lifetime Value

LTV can be increased through three primary levers: increasing average purchase value, increasing purchase frequency, or extending customer lifespan (reducing churn).

  • Increase average order value: Upselling to higher-tier plans, cross-selling complementary products, and bundling are all effective. Even a modest 10% increase in average order value has a direct 10% increase in LTV, all else equal.
  • Increase purchase frequency: Loyalty programs, re-engagement campaigns, subscription models that create automatic recurring purchases, and personalized recommendations all increase how often customers buy. Monthly subscribers purchase 12 times per year by definition; converting annual purchasers to monthly subscribers dramatically improves this metric.
  • Extend customer lifespan: Reducing churn is the highest-leverage LTV improvement because it compounds. As discussed in our churn rate calculator, extending average customer lifetime from 2 years to 3 years increases LTV by 50% without changing any other metric. Customer success programs, deep product integrations that increase switching costs, and delivering consistent value communication are all proven methods.
  • Improve gross margin: Gross margin LTV improves when delivery costs decrease โ€” through economies of scale, improved supplier terms, operational efficiency, or automation. For SaaS, the marginal cost of serving an additional customer typically decreases as the business scales, which means gross margin LTV should improve over time.

LTV Benchmarks by Business Type

LTV varies dramatically across industries and business models. Some reference points:

  • E-commerce: Average LTV of $100โ€“$500 is common for mid-range consumer brands. Fashion, beauty, and specialty food brands often achieve LTV of $200โ€“$800 with strong repeat purchase behavior.
  • SaaS (SMB): LTV of $1,000โ€“$5,000 is typical. With monthly churn of 3โ€“5% and ARPU of $50โ€“$150/month, customers stay for 20โ€“33 months on average.
  • SaaS (Enterprise): LTV in the range of $50,000 to $500,000+ is common. Enterprise contracts are large, long-term, and expand over time, creating very high LTV that justifies high CAC.
  • Consumer subscriptions: LTV of $100โ€“$400 is typical for streaming and consumer apps. High churn (5โ€“10% monthly) limits lifetime, but volume compensates at scale.
  • Financial services: Banks and insurance companies have some of the highest LTVs of any industry โ€” retail banking customers stay for 15+ years on average, generating thousands in net interest margin and fee revenue.

The LTV:CAC Ratio in Practice

The LTV:CAC ratio is the master metric for sustainable growth. It tells you how much value you generate per dollar of acquisition cost. For SaaS, the widely cited benchmark is 3:1 โ€” for every dollar spent acquiring a customer, you generate three dollars of lifetime value. Below 1:1 means you are destroying value with every customer acquired. Above 5:1 suggests you may be under-investing in growth.

When using LTV:CAC as a decision metric, ensure you are comparing like for like: use gross margin LTV rather than basic LTV for a more conservative and realistic ratio. If your gross margin LTV is $360 and your CAC is $100, your gross margin LTV:CAC is 3.6:1 โ€” a healthy ratio. Using basic LTV of $600 would overstate the ratio at 6:1 if you have significant delivery costs.

The ratio should also be tracked over time as a trend indicator. Rising LTV:CAC ratios indicate improving unit economics. Falling ratios โ€” where CAC is growing faster than LTV โ€” signal that the growth engine is becoming less efficient and warrant investigation into acquisition channel saturation, pricing power, or churn trends.

Frequently Asked Questions

There is no single "good" LTV number because it depends entirely on your CAC, gross margin, and business model. What matters is the LTV:CAC ratio and payback period. A SaaS business with $200 LTV and $50 CAC (4:1 ratio) has better unit economics than one with $2,000 LTV and $1,500 CAC (1.3:1 ratio). That said, for SMB SaaS, LTV in the range of $1,000โ€“$3,000 is a common benchmark for healthy businesses at 3:1+ LTV:CAC ratios with typical CAC levels in that segment.

For subscription businesses, LTV is most easily calculated as: LTV = ARPU / Monthly Churn Rate. If average monthly revenue per customer is $50 and monthly churn is 2.5%, LTV = $50 / 0.025 = $2,000. This formula automatically incorporates the average customer lifetime (1 / churn rate = 40 months) and the recurring nature of subscription revenue. It is equivalent to the general LTV formula with purchase frequency set to 12 per year and lifespan set to 1/churn rate in years.

For most growth decisions โ€” particularly LTV:CAC ratio analysis โ€” gross margin LTV is the more appropriate metric because it reflects the actual profit contribution per customer, not just revenue. Using basic LTV overstates the value if gross margins are significantly below 100%. For SaaS businesses with 70โ€“80% gross margins, the difference is manageable. For e-commerce businesses with 30โ€“50% gross margins, using basic LTV can dramatically overstate true unit economics and lead to overspending on customer acquisition.

If you have historical data, you can calculate average customer lifespan directly from cohort analysis โ€” track a group of customers who started in the same month and measure how long they remain active on average. For newer businesses without sufficient history, use the reciprocal of your churn rate as an estimate: average lifespan = 1 / monthly churn rate. A business with 5% monthly churn has an estimated average customer lifespan of 20 months (1.67 years). As your business matures, update this figure with actual cohort retention data.

Yes โ€” LTV defines the maximum rational CAC, and from there you can work backward to set channel budgets. If your LTV is $600 and you target a 3:1 LTV:CAC ratio, your maximum CAC is $200. You then allocate your acquisition budget across channels to achieve an average blended CAC at or below that threshold. Channels that acquire customers below $200 should receive more budget; channels above that threshold should be reduced or eliminated unless the customer quality justifies a higher CAC (longer lifetime, higher LTV segment).

Expansion revenue โ€” upsells, seat additions, plan upgrades, cross-sells โ€” can significantly increase LTV beyond the initial purchase value. For SaaS businesses, Net Revenue Retention (NRR) above 100% means existing customers are growing in revenue over time, which increases actual LTV beyond the simple formula. To incorporate expansion into your LTV model, use an ARPU that reflects the expected average revenue per customer at each point in their lifecycle, or use a more sophisticated cohort-level LTV analysis that tracks actual revenue per cohort over time.

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