INTERACTIVE CALCULATOR

One-time buyer calculator

Adjust the sliders to reflect your brand. No sign-up or shared data required. Just maths.
$50M
500K
$180

Estimated one-time buyers at benchmark rate

325K
Revenue this cohort has spent to date
$58.5m
One-time buyer benchmark
65%
of customers only ever buy once. Based on Lexer's retail client average.
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THE OPPORTUNITY

What happens when you convert your one-time buyers

Annual revenue uplift from reactivating your one-time buyers, at three reactivation rates.

conservative

1%

of OTBs buy again

$585K
additional revenue / year
+1.2% annual uplift
best case

20%

of OTBs buy again

$11.7M
additional revenue / year
+23.4% annual uplift
YOUR PERSONALISED PLAN

Book a demo to unlock $2.92M from your one-time buyers.

We'll show you exactly where this revenue lives in your data, the segments to activate first, and how Lexer customers got there.

One-time buyers in your database 325K
Revenue locked in that cohort $58.5M
If 5% buy again $2.92M / yr
That's an annual uplift of +5.9%

How this calculator works

This calculator takes three inputs: Your annual direct-to-consumer revenue, your total customer count, and your average order value
and applies the one-time buyer rate we typically see across retail brands. It doesn't know your actual rate.

What it gives you is the shape of the opportunity if you're typical: roughly how large that group would be, what it's worth at your average order value, and the annual uplift from reactivating a slice of it. It's enough to know whether this is worth a conversation internally, but it isn't a number to put in a board pack, and if your business runs differently to the average (long purchase cycles, high-consideration products, heavy wholesale) your real figure will move away from this one.

Why your real number is hard to get

Most retailers can't pull their actual rate either, and it's rarely the analyst's fault.

Order history lives in different places, including your ecommerce platform, your point-of-sale system, your marketplace channels, and your loyalty programme. The same person shows up in each as a separate customer. Someone who bought online in March and in-store in July looks like two one-time buyers instead of one repeat customer. So the number most retailers can pull is worse than reality, and their genuine repeat buyers are hidden inside the duplicates. Until every order resolves to a single customer profile, the figure isn't one you can act on.

That's the first thing Lexi does: match those profiles across every channel, so the rate you're looking at is your own rather than an average.

What to do with the answer

  • Work out how long a second purchase normally takes, then reach people inside that window
  • Find the products that most often lead to a second order, and lead with those
  • Separate customers who only ever bought on discount from those who didn't, as they need different treatment
  • Start with people who bought in the last 90 days; they still remember you

If you want to learn more, check out this guide on customer retention in retail, or how Sur La Table converts one-time buyers into repeat customers with Lexer.

FAQs

What is a one-time buyer?

A customer who has made exactly one purchase and never returned. Across the retail and DTC brands Lexer works with, one-time buyers typically make up 50 to 80 percent of the customer database. The average across Lexer's retail clients is 65 percent, which is the rate this calculator uses.

How do you calculate your one-time buyer rate?

Divide the number of customers with exactly one order by your total number of unique customers. The hard part is having every order from every channel resolved to a single customer profile first.

What is a good one-time buyer rate?

There's no universal benchmark, because it depends on category and purchase cycle. What matters more is the trend: a rate that climbs while acquisition spend holds steady means you're buying customers who don't come back.