The second order is the one that matters. A post-purchase flow that earns it.

Acquisition gets the budget and the second order gets an automated review request. That is backwards. A customer who orders twice is worth several times one who orders once, and the window in which the second order is winnable is short, specific and almost entirely unattended.

The post-purchase flow is not a thank-you note. It is the sequence that turns a transaction into a relationship, and almost all of it happens after delivery rather than after payment.

Nothing marketing-shaped happens before delivery

Between payment and arrival, the customer has exactly one question: where is it. Anything else is noise sent to somebody who is mildly anxious. The confirmation and shipping notices are transactional and belong on a different subdomain and a different sending reputation from your campaigns.

The flow properly starts a few days after delivery, which means you need to know delivery happened. If you have nothing better, use the shop's own status changes and add a realistic shipping time for the destination. A review request that arrives before the parcel is the classic own goal, and it is always a timing bug rather than a copy problem.

The shape: use it, love it, more of it

1. Day 2–4 after delivery — help them use it. How to get the most out of the thing. Care, dosage, fit, setup, the mistake most people make. No selling. This email has the highest open rate in the whole programme and shops almost never send it.
2. Day 10–14 — ask, once. Review or a one-question reply. A single specific question ("did the size run true?") gets several times the response of "how did we do?".
3. Day 21–30 — the considered recommendation. Not the catalogue: the two or three products that people who bought this tend to buy next. That is a query against your own order history, not a guess.

The interval comes from your data, not from a blog post

Day 21 is a placeholder. The real number is in your order table: the median gap between first and second order, for people who made a second order. Compute it once and the flow stops guessing.

• Consumables — coffee, skincare, supplements — cluster tightly. The median is often close to the pack size in days, and the flow should land a little before it.
• Considered goods spread out and the median hides the shape. Use the point where a third of second orders have happened, not the middle.
• Segment by first product. Somebody whose first order was a 30 ml bottle is on a different clock from somebody who bought a gift set.

Branch on what actually happened, including the bad outcomes

A post-purchase flow that ignores returns and unpaid parcels will send a warm recommendation to somebody who sent the goods back, or who never paid for a cash-on-delivery order. Both are avoidable and both are memorable for the wrong reasons.

• Returned and refunded: leave the flow. Send one short message asking what was wrong, from a real inbox.
• Returned unpaid on delivery: leave the flow entirely and flag the profile. This is a cost, not a customer journey.
• Still unpaid on a bank transfer: the order is not complete. Nothing in this flow should treat it as one.

Most platforms cannot see these outcomes because WooCommerce has no status for "came back". If yours cannot tell a kept refund from a rejected parcel, the flow will be wrong for exactly the customers you most want to handle carefully.

The only number worth reporting

Not the open rate of the review email. The share of first-time buyers who place a second order within ninety days, measured monthly, for everybody — flow or no flow.

That single figure moves slowly, responds to real changes, and cannot be flattered by attribution. If it is not moving after a quarter of running this flow, the problem is upstream of the emails: the product, the delivery experience or who you are acquiring.