Should AOV include shipping and tax?
Either, consistently. Most stores use revenue net of tax and including shipping because that is what the platform reports. The only real error is changing basis between two periods you then compare.
Average order value from revenue and orders, and what a target is worth against the same order count. Fill in two of the three.
Fill in any two of revenue, orders and average order value. Add the items sold and the tool splits a rising figure into its two possible causes.
Everything here is worked out in your browser. Nothing you type is sent anywhere, and there is no account to make.
Leave this blank to work it out from the other two.
Optional. Splits a rising order value into more items or dearer ones.
Optional. Shows what the target is worth at the same order count.
Result
The numbers below are an example so the tool opens working. Replace them with yours.
What comes out
How to use it
From the same window, and decide up front whether your revenue includes shipping and tax. Both answers are fine; changing between periods is not.
Or enter a target order value and an order count, and leave revenue blank, to see what that target produces.
This is what makes the number diagnostic. An order value can rise because people bought more things or dearer ones, and those need different work.
Average order value is revenue divided by orders. It is the simplest figure on this site and the one most often used for a decision it cannot support.
It is a mean, so a small number of large orders pulls it above what most customers spend. A store with an 80 average can easily have a median of 55, and a free shipping threshold set at the average will then miss most of the basket.
For anything involving a threshold, look at the distribution. For tracking a direction over time, the average is fine and this page will give it to you.
An order value can rise because a customer bought more things, or because the things they bought cost more. The average alone cannot tell you which, and the two call for opposite work: bundling and cross sell against merchandising and pricing.
Enter the items sold and both appear. If items per order held steady while revenue per item rose, the mix moved. If revenue per item held and items rose, the basket did.
The target line holds the order count still, which is a deliberate simplification. In practice a higher order value often costs you orders, so treat the difference as a ceiling rather than a forecast.
The tool
Leave revenue, orders or the order value blank and the tool works out that one.
Items per order and revenue per item, so a rising average points at the work that moved it.
What the same order count would be worth at the order value you are aiming for.
The target line says out loud that it holds the order count still, because in practice raising prices costs orders.
The result carries the caveat rather than leaving a threshold decision to be made on an average.
Disagreement of more than one percent is named rather than resolved for you.
Reading the result
We look at your search visibility across Google and the answer engines, and tell you what is costing you orders. No charge for the first look.
In practice
Start here, then look at the distribution. A threshold at the average sits above most baskets.
Enter your current numbers, then the order value the bundle would produce. The difference is the case for building it.
Items per order and revenue per item say which half moved, which usually says why.
A discount that raised orders and lowered the average may still have raised revenue. The revenue line answers it.
Questions
Either, consistently. Most stores use revenue net of tax and including shipping because that is what the platform reports. The only real error is changing basis between two periods you then compare.
There is no useful benchmark, because it is set by what you sell. The comparison worth making is against your own last quarter and against your cost per acquisition.
The average for tracking a direction, the median for setting a threshold. A handful of large orders pulls the average above most baskets, and a shipping threshold set there will miss the majority of them.
They should, if you want the figure to match what you banked. Most platform reports count revenue at the point of sale, so a high return rate makes the reported average optimistic.
Directly. Break-even ROAS uses your margin, and the order value turns that ROAS into a cost per order you can bid against. The break-even calculator takes an order value for exactly that reason.
No. Everything is worked out in your browser, with no account and nothing uploaded.
The rest of the set
Average order value moves the same arithmetic as conversion rate and is usually cheaper to move. Bundles, thresholds and a second item in the cart change it without touching traffic at all.
Where this comes up