The Reorder Your Customer Already Decided to Make

Consumable brands rarely lose a customer in a way anyone can see. Nobody sends a breakup email. Nobody leaves a one-star review announcing they’ve moved on. The bottle runs out on a Tuesday, the customer thinks “I should reorder that,” and then a work call happens. Two weeks later they’re standing in a supermarket aisle with a substitute in their hand, and the relationship has ended without either party noticing.

That is the real competitive dynamic for coffee, supplements, skincare, pet food, razor blades, and everything else people buy on a rhythm. You are usually not losing to a better brand. You are losing to a lapsed moment. Which is good news, because inertia is a far easier opponent than a competitor with a bigger budget.

Here’s what makes consumables structurally different from the rest of ecommerce: the buying decision has already been made. Your customer liked the product enough to finish it. You do not need to re-sell the value proposition or rebuild trust from zero. You need to show up at the moment the decision becomes urgent again — and that moment is more precise, and much shorter, than most brands assume.

Which brings us to the timer. Most brands set a reorder reminder at 30, 45, 60, or 90 days, and almost none of them can explain where the number came from. It came from a template. It came from a gut feeling. It came from the label saying “one month supply,” which is a marketing claim about ideal usage, not a measurement of real usage.

Your actual consumption cycle is already sitting in your order data, and finding it takes an afternoon. Pull every customer who has ordered at least twice. Calculate the days between order one and order two for each of them. Take the median, not the average — the average gets wrecked by the person who reordered on day four because the first one was a gift, and the person who reappeared on day 400 because an ad caught them. The median tells you what a normal customer does.

Then break that median apart, because one number for the whole store is close to useless. Split it by SKU, since a daily supplement and a weekly treatment mask do not share a clock. Split it by pack size, which is the step most brands skip: if you sell the same product in a 30-count and a 90-count, those are two different customers on two different cycles, and sending both the same reminder on the same day guarantees you’re wrong for at least one of them. Split it by cohort as well — discount buyers, bundle buyers, and people who came from different channels rarely share a rhythm. Once you have those medians, the mechanics of building the sequence around them deserve real attention, and BMO’s breakdown of the replenishment email flow is the place to go deeper on that.

The second thing the data will tell you is that your window is narrower than you’d like. There’s a short stretch where the customer knows they’re running low and hasn’t solved it yet. That’s when a reminder reads as helpful rather than pushy. Arrive after they’ve run out completely and you’re not simply late in some neutral sense — you’re arriving after the problem has already been solved by somebody else.

That’s the true cost of a missed window, and it isn’t one order. Once a customer buys the substitute at the store, the substitute has a track record. It worked. It was available. It was easier. You are no longer the default, you’re the thing they used to buy, and winning back a lapsed consumable buyer costs roughly what acquiring a stranger costs. For brands whose economics only turn positive on the third order, that’s the whole model quietly breaking in the background.

The fix isn’t complicated, it’s just specific. Time the reminder to the real median for that SKU and that pack size, land a few days ahead of it, and make reordering take one tap. Then, for the customers whose cycle is genuinely predictable, give them a way to stop making the decision at all — a well-built subscription program is really just a replenishment reminder the customer has pre-approved.

Start here. Open your order data tonight and calculate the median gap between first and second purchase for your top three SKUs. If any of those numbers surprises you, your current timer is guessing on your behalf.