Product rebuy
Product rebuy shows which products turn first-time buyers into repeat buyers. It also shows how many of your buyers come back, and how many of your orders come from people who've bought before.
Open My Shop → Analytics → Customers → Product rebuy.
Repeat purchases
These three cards use the dates you pick (up to 92 days).
| Card | What it tells you |
|---|---|
| Repeat purchase rate | How many of the period's buyers ordered on two or more different days. |
| Bought on 2+ days | The number of those repeat buyers. |
| Buyers | How many different people ordered in the period. |
For example, if 1,000 people ordered in the last 30 days and 80 of them ordered on two or more days, the rate is 8%.
A longer period always gives a higher rate, because people have more time to come back. Only compare periods of the same length, such as 30 days against 30 days. To follow a trend over months, use Customer cohorts.
Who placed your orders?
One bar splits the period's orders into New, Returning and Uncertain buyers. Returning-order share is the part that came from people who had bought before, counting only New and Returning orders. For example, 25% means 1 in 4 of those orders came from a repeat buyer. This bar counts orders, not people.
Products bought again
This table looks at every first-time buyer in your shop's history, so it doesn't change with the date picker. Each row is a product that people bought on their very first order. It shows what those buyers did in the 90 days after. A product only appears once at least 100 first-time buyers have had their full 90 days, so a newer or slower-selling product may not be listed yet.
| Column | What it tells you |
|---|---|
| First-basket buyers | How many first-time buyers had this product in their first order. |
| Bought this again | How many of them bought the same product again within 90 days. The table is sorted by this column. |
| Returned for anything | How many came back for any product within 90 days. This includes the buyers who bought the same product again, so it's never lower. |
| Median days to rebuy | Half of the people who bought it again did so within this many days. |
For example, Bought this again 30%, Returned for anything 45% and Median days to rebuy 28 mean:
- of 100 people who started with this product, 30 bought it again within 90 days,
- 45 came back for something, those 30 included,
- and repeat buyers usually reordered it after about four weeks.
What the two rates tell you together
| What you see | What it usually means |
|---|---|
| Bought this again is high | A refill product that people use up and buy again. Median days to rebuy is how long one lasts. |
| Bought this again is low but Returned for anything is high | A good first product. People come back, but for something else. |
| Both are low | People who start here rarely come back. That's fine for a one-off item, but a warning sign for something people use up. |
For products people don't use up, such as clothing, a low Bought this again is normal. Look at Returned for anything instead.
Rebuys per buyer
Click a product name in the table to show its chart above the table.
- Left: how many of the people who started with that product bought it once, twice, three times or more within 90 days.
- Right: the chance of buying it once more. 1→2 is the product's rebuy rate. 2→3 is how many people who bought it twice bought it a third time.
- Only buyers followed for a full 90 days count, so very recent first-time buyers aren't in it yet.
- The table shows up to 50 products.
- Products with variants may show the variant name under the product name.
Use cases
- Time refill reminders and restocks. For refill products, Median days to rebuy tells you when to remind buyers and roughly when repeat orders will need stock. Pair it with Inventory and reorder.
- Choose products to advertise to new buyers. A product with a high Returned for anything rate brings people who keep buying. It's worth more than its first order suggests.
- Find bundle and add-on pairs. For a product that's low on Bought this again but high on Returned for anything, open it in Product analysis to see what its buyers buy next. Then try the pair as a bundle deal or add-on deal.
- Track loyalty over time. Note Returning-order share for the same length of period each month. If it's rising, more of your sales come from people who've bought before.