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Calculate Average Order Value (AOV) from total revenue and number of orders.
$50.00
Average Order Value (AOV) measures the average amount spent per transaction -- a key e-commerce metric for tracking pricing and upsell/cross-sell effectiveness.
Enter total revenue and number of orders. AOV appears instantly.
AOV = Total Revenue / Number of Orders
Suppose a hypothetical online shop earned 5,000 in revenue last month across 100 orders. Dividing 5,000 by 100 gives an average order value of 50.00, which is the default result in the calculator. If the shop then runs a free-shipping-over-60 promotion and the next month brings 5,400 in revenue from 90 orders, AOV rises to 60.00 even though total orders fell. That shows why AOV should always be read alongside order volume and total revenue.
5,000 / 100 orders = 50.00 per order
The answer depends on what you put into the revenue box. Decide once and apply it consistently:
The order count should match the same period and the same scope as the revenue. Counting orders from a different date range will distort the result.
The number of orders must be at least 1, since dividing by zero is undefined. Revenue can be zero, which returns an AOV of 0.00. Fractional order counts are technically accepted by the field, but real order counts are whole numbers, so a decimal there usually indicates a typo.
AOV is an average, and averages hide the spread. A shop with many small orders and a few large wholesale purchases can show a healthy AOV that no typical customer actually spends. If the median order looks very different from the mean, the average is being pulled by outliers. When you see an unexpected jump, check whether one or two unusually large orders caused it before crediting a strategy change.
AOV is also not a measure of profit. A higher AOV achieved through deep discounting on bundles may raise revenue per order while shrinking margin. Pair it with a margin view, such as the Gross Profit Calculator on this site, when you evaluate a pricing or bundling change.
Seasonal peaks, holiday gifting, and flash sales all change the average. Compare a month to the same month in a prior year, or use a long enough window to smooth out one-off events. Recalculate after any change to pricing, product mix, or shipping policy so you can tell whether the change moved the number in the direction you intended.
Common levers include bundling, minimum-spend free shipping thresholds, and upsell/cross-sell offers at checkout -- this tool measures the outcome, not the strategy.
Total revenue divided by the number of orders in the same period. With 48,000 in revenue from 600 orders, AOV is 80.
Choose one convention and keep it. Most stores use net product revenue (after discounts and refunds, excluding shipping and tax) so that AOV reflects what customers actually spend on products.
Dividing by zero orders is undefined, so the tool shows no result until the order count is greater than zero.
Common tactics are bundles, free-shipping thresholds just above the current average, and upsells. Measure the effect on conversion rate as well, since a higher AOV that lowers conversion may not help revenue.
Reference: Google Search Central