Find your reorder window in your own order data

A second order is cheaper than a first one by a wide margin: no ad spend, no discovery, a customer who already knows the fit. The question is when to ask for it. Ask too early and it reads as noise. Ask too late and they have already bought elsewhere.

The answer is in your own orders. For any product that gets bought again, the gap between a customer’s first and second order clusters. That cluster is the reorder window, and it is different for a tank top and a blazer.

Find the window

Take every customer who bought a given product at least twice. For each, note the days between their first order of it and their second. Sort those gaps and look at the middle of the pack. That is the window for that product, in your store, with your customers.

Two things to watch:

• Use your own data, not a category average. A “consumable” that people reorder every 30 days elsewhere may run 45 in your store because your sizes run generous or your shipping is fast.
• Windows drift. A product that gets a new colourway or a price change will change rhythm. Re-check quarterly.

Ask Beya:

How many days do customers typically wait between their first and second order of the Ribbed Tank?

Find the customers past it

Now flip it. Everyone who bought that product once, has not bought it again, and is past the window is a customer you are about to lose quietly. Nobody complained. They just did not come back.

Who bought the Ribbed Tank in June and has not ordered since?

Add one filter before you act: leave out anyone who returned it. A returned piece is a fit conversation, not a reorder nudge.

What to send

A reorder note works when it assumes the customer liked the piece, because they did. Say the product, say why now, and give one option.

The Ribbed Tank in Sand is back in your size, and the new Olive just landed. Want me to hold one of each?

For products people only buy once, the play changes. Do not offer the same piece. Offer the two pieces most often bought alongside it by other customers.

Run it with Beya

Beya’s repeat-purchase agent learns each product’s window from your order history, watches the calendar, and surfaces customers as they pass it, with what they bought, what they were sent, and what they opened. It proposes the note and the channel. You say yes in the thread, and the outcome is logged against the customer so the next round is sharper.

Every Monday, show me who passed their reorder window last week.