LTV (lifetime value) is the total profit a customer brings over the whole relationship. The metric is useful exactly to the degree that you calculate it honestly: an inflated LTV makes it easy to overpay for traffic and not notice for several months.
The formula
The basic version for e-commerce:
LTV = average order × margin × number of orders over the customer’s lifetime
Three factors, and each deserves a closer look.
Average order. Taken from real data, not from hopes. If you have both one-off purchases and subscriptions, calculate them separately: these are different cohorts with different behaviour.
Margin. Margin, not revenue. An LTV calculated on revenue looks wonderful and means nothing: it does not tell you whether you can afford your current acquisition cost.
Number of orders. The hardest factor. For one-off sales it has to be estimated from history: how many orders the average customer places in a year, and how many years they stay active.
For a subscription, the same factor is calculated differently — and that is the whole difference.
Order count for a subscription
Here a simple relationship with churn applies:
Number of orders ≈ 1 ÷ monthly churn × orders per month
If 10% of customers cancel each month, the average subscription lasts ten months. At a three-week frequency that is roughly fourteen orders.
The important part is that you can measure churn within the first two or three months and get a working LTV estimate immediately — instead of waiting a year for one-off purchase history.
A worked example
A coffee store. A 250 g bag sells for ₴800 at a 35% margin, so ₴280 per order. Customer acquisition costs ₴400.
Scenario A: one-off sales. The customer buys once, then returns on average 1.5 more times a year thanks to email and remarketing. That is 2.5 orders in total.
- LTV = 280 × 2.5 = ₴700
- LTV / CAC = 700 / 400 = 1.75
This works, but there is no headroom. A third onto advertising costs and the model breaks even.
Scenario B: a subscription every three weeks. Monthly churn of 8% means an average subscription life of about 12.5 months. At a three-week frequency that is roughly eighteen orders.
- LTV = 280 × 18 = ₴5,040
- LTV / CAC = 5,040 / 400 = 12.6
The same product, the same margin, the same acquisition cost. Only the number of orders per customer changed.
What to do with that number
The ratio of LTV to CAC is not an abstract metric but the ceiling on what you can pay per customer.
- Below 1 — you pay more for traffic than the customer brings. Growth only accelerates the losses.
- 1–3 — the model is alive but has no slack. Any rise in advertising costs hurts.
- 3–5 — a healthy range for e-commerce.
- Above 5 — you can afford to buy traffic more aggressively than competitors. Often this means the advertising budget should go up rather than the number being admired.
The second, equally important figure is CAC payback time. In scenario B the customer repays the ₴400 of acquisition in about two orders, so a month and a half. Everything after that is profit. This directly determines how fast you can scale without a cash-flow gap.
Common mistakes
Calculating LTV on revenue rather than margin. The most common one. It produces a number three or four times too high and leads to systematic overpayment for traffic.
Ignoring first-month churn. In subscriptions the largest share of cancellations falls in the first cycle or two: the customer tried it and changed their mind. Averaging churn across the whole period inflates LTV.
Leaving out delivery and returns. For heavy or bulky goods this is a real slice of the margin, and it eats the difference between “works” and “does not work”.
Using one LTV for the whole store. A customer buying pet food monthly and a customer who bought a gift once are different cohorts. Mixed together, you see neither.
How to raise LTV
Each factor in the formula can be moved separately, but the levers differ in strength.
Average order goes up with bundles and cross-sells — the quickest effect, and the smallest. Margin comes from supplier negotiations and delivery costs; a bigger effect, but more work.
Order count is the most powerful lever, and this is where a subscription delivers a jump rather than a few percent. From there it can be improved further: reduce churn by offering a pause and a skip instead of cancellation, and add adjacent products to the same subscription.
Neocarts covers the technical half: the subscription widget, recurring charges, a buyer dashboard with pause and skip, and analytics where the subscription side of the business is visible separately from one-off sales.