Total Order Items
How many separate product lines customers ordered on Amazon — not orders, not units.
What it means
Total Order Items is the number of ordered items Amazon reports for the period — the product lines inside orders. One order containing three different products counts as three items, and one line can carry several units of the same product, which is why Units OrderedUnits OrderedThe volume side of demand, before value. sits at or above this figure. It sits on the ordered side of the table, beside Units Ordered and Ordered Product SalesOrdered Product SalesShows gross product demand from Amazon orders., rather than the shipped side.
Show the math
Formula and a worked example
An order item is one product line inside an order. Someone who buys two of the same mug and one T-shirt in a single order produces two order items and three units.
The table gives you it per day and per product, and the summary row adds the days in your range.
Worked example. A day records 300 order items, 420 Units Ordered and €12,600 of Ordered Product Sales. That's 420 ÷ 300 = 1.4 units per item, and each item was worth 12,600 ÷ 300 = €42.
A month later: 300 items again, but 330 units and €10,200 — 1.1 units at €34 each. The same number of buying decisions produced a fifth less revenue, and the item count on its own says nothing changed.
It answers the question
How many separate purchases did your products appear in? It's the closest thing on this table to a count of buying decisions, because the ordered side reports units and revenue but no order count.
Why it matters
Items and units answer different questions. Items track how often someone decided to buy; units track how much stock left the shelf. A month where both rise is demand. A month where units rise and items don't is the same customers buying deeper, which is worth knowing before you read it as growth.
It's also the denominator for the two ratios that explain a change. Units divided by items tells you how deep a purchase is; sales divided by items tells you what one is worth. Between them they separate "more people bought" from "the same people bought differently", which no single column does.
What good looks like
There's no benchmark for a count — it scales with your catalogue and your traffic, so a 20-SKU shop and a 2,000-SKU shop share nothing. Judge it against your own weeks and against the same weeks last year, then read the two ratios beside it. Items falling while units per item climbs is a mix story; items falling with the ratio flat is a demand or availability story, and those need different fixes.
How to improve it
| Lever | What you do | Expect | How long | Watch out for |
|---|---|---|---|---|
| Fast Restock the lines that ran out | Find the products that hit zero mid-period and raise their reorder points | Item counts return to their pre-stockout run rate within a cycle | 2–4 weeks | More cash tied up in stock, and slow lines start collecting long-term storage charges while they wait. |
| Fast Win back the Buy Box on your top listings | Check Buy Box % on the SKUs that carry the most items and close the gap on price and availability | The same traffic converts into more ordered items | 1–2 weeks | Usually a price cut, so items rise while the value of each one falls. Watch sales per item, not just the count. |
| Slow Turn the traffic you already have into purchases | Better main image, clearer bullets and more reviews on the listings with sessions but few items | Unit Session % climbs and items follow it | 3–6 weeks | Weeks of work with nothing to show early, and the gain is easy to credit to the wrong change. |
| Slow Add variants to listings that already sell | Extend sizes, colours or pack sizes on proven products instead of launching cold ones | More lines to buy from traffic you already have | 1–2 quarters | Every variant needs its own stock, and the ones that don't sell sit in Amazon's warehouse charging storage against the ones that do. |
Every lever costs something somewhere. The last column is the one to read twice.
Read it with
An item count on its own can't tell you whether a change came from more buyers or bigger baskets. Units beside it can.
Broad growth
More purchases and more units in them. Confirm sales grew at least as fast, or you're selling more of something cheaper.
Fewer, deeper purchases
Multipacks or quantity buying. Good for fulfilment cost per unit, and it means fewer separate customers than last month.
More purchases, thinner ones
People are still buying, but taking less each time. Every item still costs a pick and a pack, so this gets more expensive per euro.
Demand or supply
Both directions wrong. Stockouts and a lost Buy Box produce this exact shape, and neither is fixed by advertising harder.
Sales divided by items is what one purchase is worth. Items holding while that value falls means discounting or a slide towards cheaper products — the count stays flat and hides it, and the revenue line alone can't say whether you lost buyers or lost basket size.
Traffic against purchases. Sessions rising with items flat means the listing, price or availability is the problem, not demand. Items rising on flat sessions means the same visitors are converting better, which is the cheapest growth on the page.
Common misreads
An order holding three different products counts three times here. Dividing ad spend by this column to get a cost per order will flatter you on every catalogue where people buy more than one thing.
A line can carry several units of the same product. Units Ordered is the unit figure; the difference between the two is exactly how many people buy in multiples.
On the product table the app counts the items in orders that included that product, so a single basket can be described on several rows. Compare rows against each other, and take the total from the date table instead.
Also called
Ordered items · order items · order lines · item count
See yoursYour Total Order Items by date and by product, next to the units and the sales they produced.
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