Andrew Lauchner

Retention Leak Calculator

Most of your customers bought once. Here's what that's worth.

Three numbers you already know, and the arithmetic almost nobody runs. It all happens in your browser. Nothing is stored, nothing is sent, there's no email gate, and I never see what you type.

Your three numbers

People who placed their first order with you in the last 12 months. A round number is fine — this is a size, not an audit.

What a typical order is worth. If you're between two numbers, use the lower one and everything below stays honest.

Of those first-time customers, the share who ever came back for a second order. If you don't know it, put in what you'd defend in a meeting.

Updates as you type.

Your numbers

One year of first-time customers, at today's order value. Rounded to whole dollars.

Put in three numbers. The math is at the bottom of the page, so you can check my work.

Nothing is stored and nothing is sent. The math runs in your browser. There's no form, no tracking on your inputs, no email gate, and no version of this where I see your numbers. Close the tab and they're gone.

Where I'd look first

Three places the second order is won or lost

The numbers above are the size of the problem. These are the three places I'd go find it, in this order, in your account. If you only get to one, get to the first.

The 30 days after checkout

Pull every customer who ordered twice and chart the gap between order one and order two. You'll see a cluster, then a long flat tail. Everything before the cluster is winnable with a nudge. Everything after it is a different and more expensive problem. Then look at what you actually send inside that window. If it's a receipt, a review request and whatever campaign happened to go out, you have a gap, not a program.

Where your email actually lands

Open a clean Gmail account, buy something, and watch where the receipt and the follow-up land. Promotions isn't broken deliverability — it's placement, and it decides whether that first window ever gets used. Check whether transactional mail and campaigns leave from the same sending domain. Then check whether people who have never once opened are still getting the same volume as people who open everything.

Who the one-timers actually are

One-and-done isn't one group. Split it by first product, by acquisition source, and by whether a discount was used. Some of those cohorts were never coming back — a gift buyer, a bargain hunter you rented for a day. Others bought the exact product your best customers start with, and then heard nothing from you. Only the second group is a retention problem. Build for that one.

The math, so you can poke at it

Customers who bought once and never came backYour first-time customers, times everyone who isn't in your repeat rate.
Revenue sitting in one-and-done customersThat count, times your average order value. One order each, not a lifetime.
What +5 or +10 points is worthYour first-time customers, times 5% (or 10%), times your average order value. It assumes one additional order from each of those people, which is the most conservative version of the story.
Second-order revenue todayYour first-time customers, times your repeat rate, times your average order value.

That's it. Every number on this page is your own arithmetic. There is no benchmark in here, no industry average, and nothing of mine baked into it. If you think the model is wrong, it's four lines of multiplication — argue with it.

Built by Andrew Lauchner, who does lifecycle and retention for consumer brands. Nothing on this page is stored or sent.