What is a good LTV for a Shopify store?

This is the question that follows five minutes after someone calculates their LTV for the first time. The number is sitting there, and the natural next thought is: is that good?

The honest answer is that the number on its own tells you almost nothing.

Why benchmarks mislead

An LTV of £80 is excellent for a business selling a £15 consumable with a healthy repeat rate. The same £80 is alarming for a business selling £200 equipment, because it means most customers are not even completing one purchase cycle profitably.

Benchmarks pulled from industry reports have the same problem at scale. They average across businesses with different price points, margins, categories, acquisition channels and customer bases. Comparing your figure to a category average tells you how similar you are to a group of companies you have never met.

There is a second problem, which is that a high LTV is not automatically good news. A business with a £600 LTV and a £400 acquisition cost is in more trouble than one with an £80 LTV and a £15 acquisition cost.

Which points at the ratio that actually matters.

The ratio worth tracking

LTV to CAC ratio = Customer lifetime value / Customer acquisition cost

Customer acquisition cost is total sales and marketing spend in a period, divided by the number of new customers acquired in that period. Include the ad spend, the agency fees, the discount you offered to get the first order. If it was spent to win a customer, it counts.

As a rough guide:

Ratio	What it usually means
Below 1:1	You lose money on every customer. Acquisition is subsidising a broken retention model.
1:1 to 2:1	Thin. Working, but with no room for a bad quarter or a rise in ad costs.
3:1	The commonly cited healthy target. Enough margin to fund growth and absorb variation.
Above 5:1	Often a sign of under-investment. You could probably afford to acquire more customers profitably than you currently do.

Three to one is a rule of thumb rather than a law, but it is a reasonable place to aim. Below it, the fix is usually retention rather than cheaper advertising.

Why the fix is usually retention

If your ratio is poor, there are two ways to improve it: reduce what you pay for a customer, or increase what a customer is worth.

Reducing acquisition cost is largely outside your control. Ad platforms price themselves, competition sets the rate, and most of the easy efficiency has already been squeezed out by everyone else trying the same thing.

Increasing LTV is inside your control, and the lever with the most room in it is customer lifespan. Order value has a ceiling. Purchase frequency has a ceiling. How long someone keeps buying does not, in the same way.

This is the reasoning behind the observation that a 5 percent improvement in retention can increase profits by 25 to 95 percent. It is not that retention is magic. It is that retention improvements compound while acquisition improvements do not.

What to measure in Shopify specifically

Shopify gives you some of this directly and makes you work for the rest.

Available in reports:

• Average order value, in the Sales reports
• Repeat customer rate, in the Customers reports
• First-time versus returning customer sales split

You have to derive:

• Purchase frequency per year. Count orders per customer over a twelve-month window rather than lifetime, otherwise long-tenured customers distort the average.
• Customer lifespan. In a non-subscription business nobody announces they have left, so pick a reasonable inactivity threshold, usually two to three times a typical purchase gap, and treat customers past it as lapsed.
• Customer acquisition cost. Shopify does not know what you spend on ads, so this comes from your own records.

If you run subscriptions through Recharge or similar, use churn instead of estimated lifespan. It is a measured number rather than an inferred one, and the resulting LTV is considerably more trustworthy. That difference is covered in subscription LTV vs ecommerce LTV.

The three numbers to keep

Rather than hunting for a benchmark, build the shortest possible dashboard and watch it move.

1. LTV, calculated the same way every time, tracked monthly or quarterly.
2. Churn rate, or repeat purchase rate if you are not a subscription business.
3. LTV to CAC ratio, which is the one that tells you whether the model works.

Three columns in a spreadsheet, one row a month. Review it at the start of every month before you look at anything else.

An LTV figure calculated once tells you where you were. The same figure tracked over six months tells you whether the work is paying off, which is the only thing a benchmark was ever a proxy for anyway.

A reasonable first target

If you want something concrete to aim at rather than a ratio, here is a version that survives contact with most businesses.

Take today’s LTV. Aim to improve it by 20 percent within twelve months, without increasing prices.

That is not a dramatic goal, and it is achievable almost entirely through keeping customers slightly longer. Write today’s figure down next to it, review monthly, and let the compounding do the work.