Average Order Value Calculator
Enter your total revenue, orders and items to get your average order value instantly, plus items per order and your average item price.
Your sales
Average order value
€63
Revenue ÷ orders
Items per order
2
Units in a typical order
Average item price
€28
Revenue ÷ items sold
What this means: Most orders hold about 2.3 items at roughly €28 each. Raising either, with bundles or cross-sell, lifts your AOV.
How to calculate and increase average order value
Average order value, or AOV, is the average amount a customer spends in a single order. The formula is total revenue divided by the number of orders. If 800 orders generated €50,000, your AOV is €62.50. It's one of the most direct levers on revenue, because lifting it grows sales without needing a single extra visitor.
Two companion numbers make AOV easier to act on. Items per order tells you how many products a typical basket contains, in this example around two items per order, while average item price shows what each unit sells for on average. Together they reveal whether to grow baskets by adding items or by selling higher-value products.
There's no universal 'good' AOV: it depends entirely on your category, price points and audience. What matters is your own trend over time and how AOV sits against your margins. The most effective ways to raise it are cross-sell and upsell suggestions, product bundles, volume discounts and free-shipping thresholds set just above your current average.
Every one of those levers leans on product data. Cross-sell only works when related products are discoverable, bundles need accurate specs, and shoppers add more when content gives them confidence. WISEPIM enriches and standardizes product content across your entire catalog, so the connections that grow order value are there on every product page.
You found one average order value.
A single AOV is a snapshot. WISEPIM's Revenue analytics tracks how AOV moves over time and surfaces the levers behind it, bundles, cross-sell and pricing, across your whole catalog, so you can see what's actually lifting it.
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Frequently asked questions
How do I calculate average order value?
Average order value (AOV) = total revenue ÷ number of orders. Add up the revenue from all orders in a period, then divide by how many orders there were. €50,000 across 800 orders gives an AOV of €62.50. Use the same date range for both numbers so the result stays accurate.
What is a good average order value?
There's no universal benchmark, a good AOV depends entirely on your category, price points and customer base. A jewelry store and a stationery shop will have wildly different numbers. The figure that matters is your own trend: compare AOV over time and against your margins, not against other stores.
How do I increase average order value?
The most effective levers are cross-sell and upsell suggestions, product bundles, volume discounts and free-shipping thresholds set just above your current AOV. All of these work better when product data is complete: accurate specs and rich content make related products easier to discover and easier to trust.
What's the difference between AOV and revenue per visitor?
AOV measures the average value of each order, so it only counts visitors who actually bought. Revenue per visitor spreads total revenue across everyone who visited, buyers and non-buyers alike. AOV tells you how much shoppers spend per purchase; revenue per visitor tells you how much each visit is worth.
Where should I set my free-shipping threshold?
A common rule is to set it 15-25% above your current AOV, high enough to nudge a bigger basket, but close enough that shoppers feel it's reachable. With a €62.50 AOV, a €75 threshold is a sensible starting point. Watch the effect on AOV and margin after launch and adjust from there.
Why is mean AOV higher than my typical order?
A handful of very large orders pull the average (mean) upward, so it can sit well above what most customers actually spend. If that gap is wide, look at the median order value too: the median shows the middle order and gives a truer picture of a typical basket than the mean alone.