Ecommerce

Average Order Value Calculator

Average order value is revenue over orders, and it is the cheapest of the three levers on ecommerce growth.

The period, and the order value you are aiming for

What the period produced

Total sales in the period, in your local currency.

Total orders in the same period.

Where you want it

The average order value you want to reach.

Average order value

50.00

Revenue divided by number of orders.

Formula verified 13 September 2026

Gap to target AOV

10.00

Target AOV minus current AOV.

Uplift needed %

20.00%

Percentage increase to reach the target.

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Average order value breakdown

How revenue and order count produce your average order value, and what closing the gap to your target is worth. The extra-revenue row prices the goal: it is the additional sales the same order count would generate at the target AOV.

LineValueHow it is derived
Total revenue50000.00Entered directly
Number of orders1000Entered directly
Average order value50.00Total revenue ÷ number of orders
Target AOV60.00Entered directly
Gap to target10.00Target AOV − current AOV
Uplift needed20.00%(Target ÷ current) − 1
Extra revenue at target10000.00Gap × number of orders

Estimates only — not financial, tax, or professional advice.

100% private — every number you enter is calculated in your browser and never sent to our servers.

What it calculates: Average order value, Gap to target AOV, Uplift needed %.

Updated 5 June 2026 · Transparent assumptions

Revenue is traffic times conversion times order value

Ecommerce revenue decomposes into three multiplied terms, and raising any one of them raises revenue proportionally. Traffic costs money to buy, conversion is slow to move and fiercely competitive — order value is the term you can change with merchandising decisions and no additional acquisition spend.

A 10% lift in order value is worth the same as a 10% lift in traffic, and typically costs a fraction as much to obtain. That asymmetry is why the metric is worth tracking on its own rather than only as an input to revenue.

What the target actually asks for

The uplift outputs express the distance to your target two ways: the currency amount each order must gain, and the percentage that represents. The money figure is the one to design against, because merchandising works in units and prices rather than in percentages.

An uplift of 300 on an order of 2,000 is a 15% ask. Whether that is a free-shipping threshold, a bundle or a single upsell is a question the number frames but does not answer.

Thresholds, bundles and upsells, in roughly that order of effect

A free-shipping threshold set somewhat above current order value is the most reliable lever, because it gives the customer a concrete reason to add an item and costs only the shipping on orders that cross it. Bundles and volume discounts work by raising units per order rather than price per unit.

Post-purchase upsells and cross-sells at checkout add to the same order without a second acquisition cost. What tends not to work is simply raising prices, which usually moves conversion the other way by more than it moves order value.

A handful of large orders can create a number nobody actually places

Order values are usually right-skewed — many small orders and a few very large ones — so the mean sits above the typical order. A business with an average of 4,000 may find most orders cluster near 2,500 with a few at 40,000 pulling the figure up.

The median is the better guide to what a typical customer does, and segmenting by channel or by new versus returning customers is usually more actionable than the single blended figure.

Sources & References

Figures on this page are checked against primary, authoritative sources. Links open in a new tab.

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Business disclaimer

Results are estimates for planning and analysis based on the figures you enter. They are not accounting, tax, or financial advice — verify with your own records and a qualified professional before making decisions.

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Authorship & verification

Written and maintained by , a business operator who builds spreadsheet-based calculators.

What's changed (3 updates)

Published 13 September 2026

  1. Published the calculator with its formula, worked example, assumptions, limitations and a bespoke guide, and added an automated formula test suite covering it.
  2. Tested average order value from revenue over orders, with the uplift to target expressed in both money and percent.
  3. Tested that a target equal to current order value requires no uplift, and that the two uplift figures always agree with each other.

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