Average Order Value Calculator

Behind the number

Average order value is revenue divided by orders: revenue ÷ orders. It is one of the three terms that determine revenue, alongside traffic and conversion rate.

The contribution version, contribution ÷ orders; is more useful for decisions, since a higher order value achieved through discounting can lower it.

Median order value is worth calculating alongside the mean, because a small number of large orders pulls the average away from typical behaviour.

How that looks in practice

$58,000 from 1,000 orders is a $58 average. At a 55% margin that is $31.90 of contribution per order.

Raising it to $70 through bundles and upsells, with the margin holding, gives $70,000 of revenue and $38,500 of contribution from the same 1,000 orders, $6,600 more a month.

Achieving the same through conversion would require lifting the rate from 2.5% to 3.0%; through traffic, buying 8,000 more sessions.

Order value is frequently the cheapest of the three to move, because it requires merchandising rather than media spend or engineering.

Where this breaks down

The mean is dominated by outliers in any catalogue with a wide price range. A business selling both $12 accessories and $400 items has an average describing neither.

Raising order value through discounting, spend more to save more, raises the average and can lower contribution, which is why the revenue version of the metric can move in the opposite direction to the money.

How to act on this

Track contribution per order alongside revenue per order, so a promotional lift in the average does not get read as a merchandising win.

Then segment by channel and by customer type. New customers typically order smaller baskets than returning ones, so a shift in traffic mix moves the average without anything changing.

The three levers, in order of cost to move

Order value responds to merchandising: bundles, volume pricing, free shipping thresholds, cross-sells at the cart. All are configuration changes and none requires additional spend.

Conversion responds to site work: speed, clarity, checkout friction, trust signals. That is engineering and design effort, which is real but one-off.

Traffic responds to media spend, which is recurring and rises in cost as it scales. Working through the three in that order: merchandising, then conversion, then traffic, usually produces more contribution per hour invested than starting at the expensive end, which is where most businesses start.

Free shipping thresholds are the most direct lever available, since they give customers a specific reason to add an item and the target is set by you rather than by the market.

Setting the threshold slightly above the current average is the conventional approach, and checking the order value distribution rather than the mean is what identifies where a threshold would catch the most people.

Payment method affects it measurably too, since instalment options raise the average on higher-priced items by making the total feel manageable, at the cost of the provider's fee.

Quantity discounts on the product page raise it without any cross-sell logic, and for consumables they frequently outperform recommendations entirely.