Average Order Value Calculator

Global tools

Average order value is the simplest number on an ecommerce dashboard - revenue divided by orders - and the one most shops read as a fact instead of a lever. The same revenue on fewer orders means the basket is doing more work, and the reverse direction turns that into a plan.

$

Total sales before returns and discounts, for the period you are measuring.

Paid orders, not visits, signups or baskets that were abandoned.

$

Where you want sales to be, to reverse out the order count.

$

The basket size you expect to hit on the way to the target.

Results update as you type. Nothing leaves your device.

Currency symbol

Symbol only - nothing is converted and no exchange rate is used. Figures quoted in the explanation text stay as the sources publish them.

Average order value

$25.00

500 orders bringing in $12,500.00 in the period.

Revenue
$12,500.00
Orders
500
Orders needed for the target
800

From revenue down to one order

LineValue
Revenue in the period$12,500.00
Orders in the period500
Average order value$25.00
Target revenue$20,000.00
Target average order value$25.00
Orders needed for the target800

The reverse reads left to right: if every order carries the target basket size, dividing the target revenue by it gives the order count to plan for.

What an average hides

  • A sharp average hides the spread: a stream of small orders holding the number down while a few large ones prop it up needs different fixes than a uniform basket.
  • It is a ratio, not a lever by itself - raising it usually means bigger baskets or fewer discounts, and the reverse calculation is where that decision gets a number.
  • Paid orders only: refunds and canceled orders pull the average down, so count the money that actually comes in.
The defaults - $12,500 across 500 orders - are a round-number starting point. Your own revenue and order count for the last 30 or 90 days put the number in context.

The page computes both ways: the AOV you are delivering right now, and the order count a target revenue needs at a target basket size. One direction is a report; the other is what changes tomorrow.

About this average order value calculator

Baskets and order counts move the average order value in opposite directions, and both directions are worth reading before a store picks where to push. Use it when you are deciding between chasing more orders and growing the basket - the reverse read is where that decision gets its number.

It is not a customer-level basket analysis, and it does not price your margin. It deliberately stays a two-number ratio plus the reverse, because that is the shape most stores quote AOV in; the per-customer spread and the profit per order live in the pricing tools this family keeps.

How this average order value calculator works

The two numbers that make the fraction

Revenue is what the period actually took in - total sales before returns and discounts, because a refunded order never paid. Orders is the count of paid orders behind that revenue, not visits, leads or baskets that were abandoned.

Divide the first by the second and the answer is what the average paying customer left in the till each time they checked out. Both numbers have to describe the same window: a month of revenue against a quarter of orders produces a ratio for a period the business never had.

The reverse is the planning half

If every order carries the target basket size, dividing a target revenue by it gives the order count needed to get there. The defaults work this way too: a $20,000 target at a $25 basket needs 800 orders.

That is the number a store can actually act on - more orders of the same size, or the same orders grown bigger. AOV is usually the cheaper lever of the two, because it does not require buying another visit; the order you already paid to acquire simply has to carry more.

The reverse assumes every order carries the target basket, which is the part worth testing. A target set above what the current basket supports is a wish with a division sign in front of it, not a plan.

Whole orders, rounded up

The reverse answer is rounded up to a whole number of orders, because you cannot plan for 833.3 checkouts. The difference between the rounded count and the raw division is small - a reminder that the plan is a target, not a promise.

Rounding up is the safe direction: the plan overshoots the target by less than one order and never falls short of it. A target basket of zero makes the reverse undefined, because there is no figure left to divide the revenue by, and the page prints "not defined" rather than inventing an order count.

What a single average leaves out

One number hides the spread underneath it: a stream of small orders propping the count up while a few large ones hold the average up needs different fixes than a uniform basket.

The page says so in its list, and keeps the reverse read because the ratio alone does not tell you which lever to pull.

The pair worth reading together is AOV, profit per order and the return rate. An average raised by a deeper discount, or by customers who send half of every order back, is not a healthier shop - it is a different one, and the pricing tools in this family are where that difference gets priced.

Where the average meets acquisition cost

An order you already paid to acquire has to keep earning, and that is the budget line an average order value actually competes against. If a visit costs $2 and converts at 4%, the customer costs $50; a $25 basket hands back half of that on the first order, so the second order is where the money is. Lifting the basket by $5 does the same work as cutting acquisition cost by $5 per order, and it does it without buying another visit.

Which is why the useful comparison is rarely this month against a benchmark, and usually against your own cost per order. Mailers, packaging, payment fees and returns all come out of the same basket: a $30 average that costs $12 to serve keeps less than a $27 average that costs $6 to serve, and the page cannot see that difference because it only divides revenue by orders.

Discounts move the number in the direction that flatters it. A 20% code lifts the basket and can still lower the cash you keep, because the extra units went out at a lower margin - so read the average beside gross margin per order, not instead of it. The same asymmetry shows up in free-shipping thresholds: a line set just above the current average pulls the average up by construction, and the orders that reach it usually get there with a cheap add-on rather than a profitable one.

Keep the window fixed when you compare. Two months of different length, or a month carrying a promotion, are not a trend - the ratio moves with the calendar. Measure at the same point in the order lifecycle too: a basket counted before returns is a different number from the same basket counted after them, because a refunded order never paid, and the reverse plan is only as good as the revenue figure fed into it.

Worked examples

Each example below was run through the calculator on this page when the site was built, so the numbers match what you see when you enter the same inputs.

A $12,500 month across 500 orders

Revenue in the period: $12,500.00 · Orders in the same period: 500 · Target revenue: $20,000.00 · Target average order value: $25.00

Average order value

$25.00

500 orders bringing in $12,500.00 in the period.

Revenue: $12,500.00 · Orders: 500 · Orders needed for the target: 800

The average order value is $25.00, and the $20,000 target at a $25 basket needs 800 orders to get there.

Fewer orders, same revenue

Revenue in the period: $12,500.00 · Orders in the same period: 400 · Target revenue: $20,000.00 · Target average order value: $25.00

Average order value

$31.25

400 orders bringing in $12,500.00 in the period.

Revenue: $12,500.00 · Orders: 400 · Orders needed for the target: 800

Dropping to 400 orders pushes the average up to $31.25 - the same money, but each order doing more work.

A target that needs a bigger basket

Revenue in the period: $9,000.00 · Orders in the same period: 300 · Target revenue: $12,000.00 · Target average order value: $30.00

Average order value

$30.00

300 orders bringing in $9,000.00 in the period.

Revenue: $9,000.00 · Orders: 300 · Orders needed for the target: 400

A $12,000 target at a $30 basket needs 400 orders - and the current $9,000 month at 300 orders is already at $30.00.

After a sell-down clear-out

Revenue in the period: $30,000.00 · Orders in the same period: 1,000 · Target revenue: $36,000.00 · Target average order value: $30.00

Average order value

$30.00

1,000 orders bringing in $30,000.00 in the period.

Revenue: $30,000.00 · Orders: 1,000 · Orders needed for the target: 1,200

$30,000 across 1,000 orders averages $30.00, and a $36,000 target at the same basket needs 1,200 orders.

Frequently asked questions

What is a healthy average order value?

There is no universal number - it depends on what you sell and what shipping, margins and return rates allow. The useful comparison is your own: AOV against last month, and against a basket whose profit covers your fees. The page gives you the ratio; your ledger decides the target.

Why do you want the reverse direction?

Because reporting the current AOV tells you where you are, not what to do. Saying "we need 800 orders by the end of the period at a $25 basket" is a plan; saying "our AOV is $25" is a weather report. The reverse is the half of the calculator that changes a decision.

Should I include refunds and discount revenue?

Use the revenue that actually arrives: refunds and canceled orders pull both the average and the order count down. If you feed it net-of-refunds revenue and the paid order count, the answer is the spend per order that cleared.

Does a higher AOV always mean a healthier shop?

No. A higher average with the same revenue means fewer orders, and it can be bought at the cost of margin through bigger discounts or bigger-ticket customers who are more expensive to keep. The number is only valuable against profit per order - which the pricing tools in this family keep.

How is one average different from a basket analysis?

The average is one number; a basket analysis looks at the spread inside it. The page deliberately flags the difference because a single big-ticket order can flatter an otherwise small-basket shop. This calculator gives you the headline and the arithmetic, not the per-customer breakdown.

Assumptions and sources

  • Average order value is revenue divided by orders, standard ecommerce reporting.
  • Splitting it into order count and basket size, or planning orders from a revenue goal, is basic ratio analysis.
  • It runs in your browser and nothing you type is uploaded; the result is arithmetic, not a sales forecast.

Last reviewed 2026-10-07. Business arithmetic — not accounting, tax or legal advice. Read the full disclaimer.

Where a figure on this page comes from an official agency — HUD, IRS, FICO or a state body — the site keeps a dated snapshot of the source page in its sources library, and a scheduled job re-checks that snapshot, so the number can be traced back to the document it came from.