Jun 21, 2026 · 8 min read

Lifetime Value (LTV) Calculator and Formula

Daymark Product & Data TeamAnalytics practitioners at Daymark

First-hand guidance from the Daymark team on analytics workflows, growth reporting, and the operational metrics teams use to make decisions.

Lifetime value is one of the most important metrics in growth and retention because it tells you what a customer is worth beyond the first conversion. That is what turns acquisition reporting into unit-economics reporting.

Without LTV, it is easy to overvalue channels that drive quick purchases but weak repeat behavior. It is just as easy to undervalue channels that look expensive upfront but acquire customers who stay longer and spend more. LTV is not just a math exercise. It is a way to connect customer quality, pricing, retention, and margin into one value estimate.

This guide explains what LTV means, how to calculate customer lifetime value, which formula businesses commonly use, and how to make the metric useful for real acquisition and retention decisions.

What is lifetime value?

Lifetime value, often shortened to LTV or CLV, estimates the total value a customer generates over the full relationship with your business.

Customer Lifetime Value Calculator

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Average revenue per account (monthly)

Gross margin

Monthly customer churn rate

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Estimated Lifetime Value

$2,400.00

Estimated Lifetime Value

Lifetime value based on margin, not just revenue. Keep it ahead of CAC for a healthy LTV:CAC ratio.

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Depending on the business model, that value may be expressed as:

revenue
gross profit
contribution margin

For subscription businesses, LTV is often modeled from recurring revenue, margin, and churn. For ecommerce businesses, it is often modeled from repeat purchase behavior, average order value, and retention over time.

The math can vary, but the core question stays the same: how much is a customer worth after you acquire them?

That is why LTV is so often paired with CAC. Acquisition tells you what you paid to win the customer. LTV tells you what the customer is likely to return over time.

Lifetime value formula

One common SaaS formula is:

LTV = ARPA × Gross Margin % / Churn Rate

This formula is useful because it brings together three of the biggest drivers of customer value:

average revenue per account
gross margin
customer retention

A simple example

Say a subscription business has:

ARPA of $120 per month
gross margin of 80%
monthly customer churn of 4%

First calculate monthly gross profit per customer:

$120 × 80% = $96

Then divide by churn rate:

LTV = $96 / 0.04
LTV = $2,400

That means the estimated customer lifetime value is $2,400.

A more practical segmented view could look like this:

Segment	Monthly ARPA	Gross margin	Monthly churn	Estimated LTV
Self-serve	$68	82%	6.5%	$858
Mid-market	$180	80%	3.2%	$4,500
Enterprise	$420	78%	1.8%	$18,200

The company-wide average may still matter, but the segmented view is what tells you where customer quality actually lives.

Why margin matters

Many teams calculate LTV from revenue alone, which can overstate customer value. If a meaningful share of revenue is consumed by cost of goods sold, fulfillment, or service delivery, gross margin gives a more realistic picture.

That is especially important when LTV is being used for budget decisions. If the business scales acquisition off a revenue-only LTV, it may approve more spend than the economics really support.

For the full gross margin formula and how it's calculated, see gross margin. For ecommerce specifically, contribution margin goes a layer deeper by including shipping, fees, and discounts as well.

How to calculate LTV correctly

1. Choose the right LTV model for the business

Subscription and SaaS businesses often use recurring-revenue formulas. Ecommerce brands may use cohort-based repeat purchase analysis instead. The right approach depends on how customer value actually accumulates.

The mistake is not choosing one model over another. The mistake is using a model that does not match the business.

If repeat behavior, returns, discounting, and purchase frequency matter more than subscription churn, a SaaS-style formula may produce a false sense of precision. The model should fit the revenue mechanics.

2. Segment before interpreting the average

Blended LTV can be useful as a headline, but it often hides the real story. Break LTV down by:

acquisition channel
subscription plan
first purchase cohort
customer segment
region or store

That is often where teams find that one acquisition source produces expensive customers who barely repeat, while another produces smaller but much more durable value.

3. Pair LTV with CAC

LTV becomes much more decision-useful when it is read next to customer acquisition cost.

That is where questions like these become answerable:

Which channels produce healthy LTV:CAC ratios?
Are expensive channels still worth it because customers stay longer?
Are cheap channels actually driving weak-fit, short-lived customers?

LTV alone tells you what a customer is worth. It does not tell you whether the business paid too much to win that value.

4. Recalculate when retention or pricing changes

LTV is not a static company trait. If churn rises, LTV falls. If ARPA or average order value improves, LTV may rise. If margin changes materially, the value estimate changes too.

That is why LTV works best as a living metric, not a number calculated once for a slide deck. Mature teams revisit the drivers regularly because the value estimate changes whenever the business model changes.

What is a good LTV?

There is no universal “good LTV” number because the figure depends on pricing, margins, retention behavior, and business model.

The more useful questions are:

Is LTV improving for the customers we want more of?
Which cohorts create the highest long-term value?
Does LTV justify current acquisition spend?
Is value concentrated in a narrow segment or broad across the base?

Most teams should care less about a generic benchmark and more about whether LTV is moving in the right direction for the right types of customers.

That is why a lower-blended LTV is not always a problem if it comes from deliberate expansion into a large new segment with acceptable payback and margin. Context matters as much as the value estimate itself.

LTV vs LTV:CAC

LTV by itself tells you how much a customer is worth over time. It does not tell you whether acquiring that customer is efficient.

That is why LTV is often paired with:

LTV helps answer the value question. LTV:CAC helps answer the efficiency question.

Both are useful, but the difference matters in practice. One tells you whether the customer is economically attractive. The other tells you whether the acquisition motion is economically sensible.

What actually moves LTV

Better retention

For many businesses, retention is the biggest LTV driver. If customers stay longer, lifetime value improves even when acquisition volume does not change at all.

Higher revenue per customer

Expansion, upsells, plan upgrades, repeat purchases, and stronger merchandising can all raise LTV by increasing the value generated per customer over time.

Better gross margin

Revenue matters, but margin makes the metric more real. Higher-margin revenue creates more true economic value than revenue that is expensive to deliver.

Better-fit acquisition

LTV is partly a retention metric and partly an acquisition-quality metric. The channels that bring in the right-fit customers often create more lifetime value later.

This is one reason LTV should not be treated as a pure finance metric. It is also a feedback loop on positioning, targeting, and who the business is really built to serve well.

Common mistakes

Using revenue without considering margin

This often overstates what the customer is actually worth to the business. Revenue-based LTV can be directionally useful, but it is usually weaker for budgeting decisions than margin-adjusted LTV.

Treating company-wide averages as the full story

Blended LTV can hide major differences between customer types, plans, channels, or stores. The more varied the customer base, the less useful one average becomes as a decision tool.

Using too little history

If the time window is too short, LTV may miss repeat behavior and understate long-term value. Newer cohorts often look weaker before enough retention history has accumulated.

Forgetting that LTV changes

Retention, pricing, repeat purchase behavior, and margin all shift over time. The metric should be updated when those drivers change instead of being treated as a permanent property of the business.

Frequently asked questions

What is the formula for lifetime value?

A common SaaS formula is ARPA multiplied by gross margin percentage, divided by churn rate. Other models use cohort-based repeat purchase behavior instead.

What is the difference between LTV and CLV?

In most operating conversations, LTV and CLV mean the same thing: customer lifetime value.

Why should LTV be paired with CAC?

LTV shows what a customer is worth over time, while CAC shows what it cost to acquire that customer. Together they help explain unit economics.

What increases lifetime value?

LTV usually rises when customers retain longer, spend more, buy more often, or generate better-margin revenue over time.

Summary

LTV matters because it gives teams a longer view of customer quality than first conversion alone. It helps distinguish between customers who buy once and leave, and customers who create durable value over time.

Used well, LTV becomes a bridge between acquisition, retention, and monetization decisions. It helps teams scale channels and segments that produce not just more customers, but better customers.