Customer Lifetime Value Calculator

How to use this tool

1. Enter average revenue per user (ARPU) per month.
2. Enter gross margin % for your product or service.
3. Enter monthly churn rate (% of customers who cancel each month).
4. The calculator shows LTV using the gross-margin LTV formula.
5. Alternatively, enter purchase frequency and average customer lifespan for transactional LTV.
6. Start by reading the input labels in the Customer Lifetime Value Calculator and decide which time period, currency, or business scenario you want to model.
7. Enter realistic baseline numbers from a statement, quote, analytics report, invoice, or operating dashboard instead of guessing from memory.
8. Change one input at a time so you can see which assumption has the biggest effect on the result.
9. Compare at least three scenarios: conservative, expected, and optimistic. This makes the result more useful for planning than a single best-case number.

Formula and method explained

Subscription LTV = (ARPU × Gross Margin %) ÷ Monthly Churn Rate. Transactional LTV = average purchase value × purchase frequency per year × average customer lifespan in years. LTV should always be calculated on gross margin, not revenue — using revenue LTV overstates unit economics. Churn rate is the key lever: halving churn doubles LTV.

How to compare scenarios

A single result rarely tells the whole story. Use this calculator as part of a small comparison set. First, run your current or expected case. Second, run a conservative case where revenue is lower, cost is higher, the rate is worse, or the timeline is longer. Third, run an improved case that reflects a realistic upside. The gap between those three outputs is often more valuable than the baseline answer. A narrow gap suggests the decision is stable. A wide gap means the result is sensitive and should be reviewed carefully. For recurring revenue quality, retention, acquisition economics, runway, and investor reporting, this comparison habit prevents overconfidence and helps you spot hidden risk before it becomes expensive. Related CalcBix tools such as SaaS MRR Calculator, SaaS ARR Calculator, Churn Rate Calculator, SaaS CAC Calculator can help you test the same decision from another angle.

Example calculation

ARPU: $65/month. Gross margin: 70%. Monthly churn: 2.5%. LTV = ($65 × 0.70) ÷ 0.025 = $45.50 ÷ 0.025 = $1,820. CAC: $220. LTV:CAC = $1,820 ÷ $220 = 8.3:1. Payback period = $220 ÷ ($65 × 0.70) = $220 ÷ $45.50 ≈ 4.8 months.

An 8.3:1 LTV:CAC ratio with a 4.8-month payback is excellent by SaaS benchmarks (≥3:1, ≤18 months). Reducing churn from 2.5% to 2.0% would increase LTV from $1,820 to $2,275 — a 25% gain from a half-point churn improvement.

How to understand the results

Read the result in context, not in isolation. A "good" result depends on your goal, risk tolerance, cash flow, and alternatives. A lower payment may be easier monthly but more expensive over time. A high return may still be unattractive if it takes too long or relies on fragile assumptions. A strong marketing metric may still fail after refunds, fulfilment cost, or sales follow-up are included. A SaaS metric may look healthy in aggregate while one segment is deteriorating. Ask three questions after each calculation: what action does this number suggest, what assumption could make it wrong, and what related metric should I check next? If you cannot answer those questions, the calculation is not finished yet. Use the result to guide the next conversation, not to end the analysis.

Who should use this tool

SaaS and subscription business operators, investor relations teams communicating unit economics, customer success managers building the business case for retention investment, and growth teams deciding between acquisition and retention spending.

Practical tips for better inputs

• Keep a short note beside each scenario explaining where the inputs came from. "Last month actuals" is more useful than "rough estimate" when you revisit the result later.
• Use the same currency and time period across all inputs. If you annualise one number, annualise the others before comparing them.
• Round only at the end. Rounding intermediate values can create visible differences in finance, tax, loan, and SaaS calculations.
• When the result affects cash flow, test a downside scenario. Cash shortages usually come from timing and small recurring costs, not only from the headline price.
• Use related calculators to cross-check the decision. For example, pair a margin result with break-even, a CAC result with LTV, or a loan payment with total interest.

When to use related calculators

After using the Customer Lifetime Value Calculator, check the related calculators below to test the next part of your decision. One metric rarely captures total cost, cash flow, timing, and risk together. Related tools help you cross-check the result before sharing it with a client, lender, or investor.

Limitations of this calculator

The Customer Lifetime Value Calculator is a planning estimate, not a substitute for formal advice or provider-specific calculations. It uses the formula on this page and the assumptions you enter. It does not account for your full tax position, lender fees, local regulations, refund rates, or contract terms. For consequential decisions — loans, tax filings, investment commitments, or legal agreements — verify the result with the relevant provider or a qualified professional.

Common mistakes to avoid

• Using revenue LTV instead of gross-margin LTV — significantly overstates the metric.
• Using annual churn when the formula requires monthly churn — they are not interchangeable.
• Not updating LTV when churn rates change — it is a dynamic metric.
• Applying LTV from one customer segment to all segments — enterprise and SMB customers have very different LTVs.
• Not discounting LTV for time value of money in long-lifecycle businesses.
• Using the Customer Lifetime Value Calculator with rough guesses and then treating the answer as precise. A calculator is only as good as the inputs you give it.
• Mixing monthly and annual figures. If one input is annual and another is monthly, convert them before comparing the output.
• Ignoring taxes, platform fees, insurance, refunds, churn, discounts, or one-time costs that are outside the core formula but still affect the real decision.
• Looking only at the headline result instead of reading the supporting context, formula, and related metrics.