LTV Calculator

Definition of Customer Lifetime Value

Customer Lifetime Value (LTV) is the total profit you earn from a customer throughout their entire relationship with your business.

Put simply: “How much is a customer worth to you over time?”

This number matters—a lot.

• A high LTV means you can spend more on acquisition and retention. More aggressive marketing. Better onboarding. Deeper loyalty programs.
• A low LTV is a red flag. It may mean your product, pricing, or messaging needs a rethink.

LTV gives you a sharp lens on where to invest—and where you’re bleeding value.

Breakdown of the LTV Formula

One of the most effective ways to calculate Customer Lifetime Value is this:

LTV = (ARPU × Gross Margin %) ÷ Churn Rate %

Let’s break that down:

1. Average Revenue per User (ARPU)

ARPU gives you the average revenue from each customer monthly.
You can calculate it like this:

ARPU = Average Order Value × Purchase Frequency

• Average Order Value (AOV) – How much does a typical customer spend per transaction?
• Purchase Frequency – How often do they buy within a set period (e.g., per month)?

2. Gross Margin

This shows how much of your revenue you keep after covering direct costs.

Gross Margin % = (Revenue – Direct Costs) ÷ Revenue × 100

Higher margin? More room to invest in growth.

3. Churn Rate

Churn tells you how fast customers are slipping away.

Churn Rate % = (Customers Lost ÷ Customers at Start of Period) × 100

A lower churn rate means customers stick around longer—which boosts LTV.

How-to: Calculate your LTV

Example of the LTV Formula

Let’s make LTV real with a company every growth leader knows: Netflix.

While Netflix doesn’t publish its LTV formula, analysts and investors regularly estimate it using publicly available data. Here’s a simplified breakdown based on typical metrics.

Let’s say we’re modeling a standard Netflix subscriber in Europe.

• Monthly Subscription (ARPU): €12
• Gross Margin: 40% (after accounting for streaming infrastructure, licensing, and original content)
• Monthly Churn Rate: 3%

Step 1: Revenue After Costs

€12 × 40% margin = €4.80

This is what Netflix earns in profit from one subscriber each month.

Step 2: Apply the Churn Rate

LTV = €4.80 ÷ 0.03 = €160

That means each customer is worth roughly €160 over their lifetime.

If you’re Netflix, this figure shapes everything:

• You know you can spend up to €160 to acquire a new customer and still break even.
• If you spend €80 on acquisition, you’ve got €80 left in profit margin.
• It informs how much to invest in content, user experience, and retention—because higher retention = lower churn = higher LTV.

Of course, Netflix refines this by region, customer cohort, and lifecycle stage. But this basic model gives you the strategic lens they—and you—need.

Common mistakes in calculating the LTV

LTV can be one of your most powerful strategic levers. But it’s also one of the easiest metrics to get wrong—and the cost of a bad calculation? Misguided budgets, inflated CAC, and a false sense of scalability.

Let’s walk through the most common ways LTV gets distorted—and what to do instead.

Mistake #1: confusing revenue with profit

LTV isn’t about how much a customer spends. It’s about how much profit you keep.

Yet too often, teams plug in ARPU directly without factoring in gross margin. That means you’re measuring top-line revenue, not contribution margin—and you’re overestimating how much you can actually afford to spend on acquisition.

Fix it: Always include gross margin in your formula. Your LTV should reflect what’s left after you’ve paid to deliver the product or service.

Mistake #2: Misunderstanding churn dynamics

Here’s where things get fuzzy fast.

Monthly churn. Annual churn. Trial churn. Involuntary churn. Churn after activation. Which one are you using? And does it match the time frame of your LTV model?

Use a 3% monthly churn in a model meant for annual LTV, and you’re inflating your numbers. Use average churn across different customer types, and you’re blurring the real picture.

Fix it: Match your churn rate to the right time horizon. And always segment churn: the behavior of a newly acquired customer is nothing like a power user who’s been with you for two years.

Mistake #3: Assuming customers stick around forever

Technically, 1 ÷ churn gives you a “customer lifespan.” But in practice, customers aren’t spreadsheets. People churn for reasons your model doesn’t see—market shifts, lifestyle changes, economic downturns, boredom.

Assuming a 1% monthly churn gives you a 100-month relationship? That’s pure fantasy in most markets.

Fix it: Apply realistic ceilings to customer lifespan. Better yet, back it with cohort data. What actually happens over 6, 12, or 24 months? That’s your signal.

Mistake #4: Treating all customers as equal

Your customers are not a monolith.

A subscriber from paid search churns faster than one from a referral. A first-time buyer from a holiday promotion isn’t as loyal as someone who converted after three product interactions.

Yet most LTV models ignore this and average across the entire customer base—flattening critical differences in behavior.

Fix it: Segment your LTV. Build it by cohort, by acquisition channel, or by product line. That’s how you spot your profitable pockets—and your leaky ones.

Mistake #5: Ignoring cycles, seasonality, and shifts

Your revenue isn’t flat. So why assume your LTV is?

Many teams use static numbers that ignore seasonal behavior: Q4 surges, summer slumps, or January drop-offs. Worse, they don’t re-run the numbers when pricing, product, or retention strategies change.

Fix it: Recalculate your LTV quarterly. Adjust for seasonality. Update it when your funnel shifts. Static LTV in a dynamic market is a dangerous blind spot.

Mistake #6: Relying on a single forecast

Most LTVs are built off a single scenario—usually the optimistic one. But reality rarely plays out in straight lines.

Markets fluctuate. Margins compress. A new competitor enters. And suddenly your “healthy” LTV is upside down.

Fix it: Always build three scenarios: base-case, best-case, and worst-case. What happens to your LTV if churn spikes 2%? If CAC rises? If margins drop?

Stress test the model before it stress tests your business.

Frequently asked questions about Customer Lifetime Value