Business, Marketing & E-commerce E-commerce & Marketplace Fees Marketing Metrics (Farris et al.) definitions

Average Order Value (AOV) Calculator

Average order value is revenue divided by orders — but the useful part is what you do with it. Enter your period revenue, order count and units sold and this calculator returns your AOV, average units per order, average item price and gross profit per order, then shows exactly what a 5%, 10% or 20% uplift is worth in revenue and in profit. Add your session count and it also gives revenue per visitor, so you can see whether your growth is coming from more traffic, better conversion, or bigger baskets.

Calculator

This calculator runs in your browser. Enable JavaScript for live results — the inputs, formula and worked example below remain fully readable without it.

Inputs this calculator takes, with typical values
InputWhat to enterExample
Total revenue for the periodNet sales for the same period as the order count — decide once whether shipping income is in or out and stay consistent.148500 $
Number of ordersCompleted, paid orders for the period. Exclude cancelled orders and count a refunded order only if its revenue is still in the figure above.1650
Units soldTotal line-item quantity across every order. Enter 0 if you do not track it — the units figures will show a dash.2640
Gross marginRevenue minus cost of goods, as a percent of revenue — needed to turn a revenue uplift into a profit uplift.42 %
Sessions or visitorsSessions for the same period from your analytics. Enter 0 to skip revenue per visitor.55000
AOV uplift to modelThe percentage increase you think a bundle, upsell or shipping threshold can deliver.10 %

It returns

  • Average order value — Total revenue divided by the number of orders in the same period.
  • Average units per order
  • Average item price
  • Gross profit per order
  • Revenue per visitor
  • AOV after the uplift
  • Extra revenue from the uplift
  • Extra gross profit from the uplift

The formula

AOV=revenueorders
AOV=pitemUPT
RPV=AOV×CR
Δrevenue=orders×AOV×u

In plain text: AOV = total revenue ÷ number of orders

  • AOVAverage order value — mean revenue per completed order ($)
  • revenueNet sales for the period, on a consistent definition ($)
  • ordersCompleted, paid orders in the same period (count)
  • UPTUnits per transaction — units sold ÷ orders (count)
  • RPVRevenue per visitor — revenue ÷ sessions ($)

AOV is a mean, so a handful of very large orders can pull it well above the order value a typical customer sees. Track the median alongside it if your order sizes are skewed.

Updated Category E-commerce & Marketplace Fees Verified against published test cases Reading time 12 min

What average order value measures, and why it is the cheapest lever you have

Average order value is the mean amount a customer spends in one checkout. Divide revenue by orders and you have it. The reason merchandisers watch it so closely is arithmetic rather than fashion: store revenue is the product of three numbers, and AOV is the only one you can move without buying anything.

Revenue = sessions × conversion rate × AOV. Raising sessions costs media money. Raising conversion rate takes design, testing and time, and it is bounded — no store converts every visitor. Raising AOV costs a bundle offer, a shipping threshold or a better product page, and it drops almost entirely to the bottom line because the acquisition cost for that order has already been paid.

Look at the marginal economics. If it costs you $22 to acquire an order and your AOV is $90 at a 42% gross margin, you make $37.80 of gross profit per order and keep $15.80 after acquisition. Lift AOV by 10% to $99 and gross profit per order becomes $41.58 — the acquisition cost has not moved, so contribution per order rises from $15.80 to $19.58, a 24% improvement from a 10% change. That leverage is why AOV work usually beats another round of bidding.

Two figures sit underneath AOV and tell you which lever applies. Units per order — retailers call it units per transaction — says whether people buy one thing or several. Average item price says how expensive those things are. A store with 1.05 units per order has a cross-sell problem; a store with 3.4 units at $9 each has a price-point problem. The same AOV can come from either.

The formula, and the two identities worth memorising

AOV = revenue ÷ orders. Both numbers must cover the same period and the same definition. Whether you include shipping income, gift cards, taxes and refunds is your choice — what matters is that the choice never changes, because AOV is only useful as a trend.

The first identity decomposes it: AOV = average item price × units per order. Multiply $56.25 by 1.60 and you get $90. This is the diagnostic form. When AOV moves, one of those two factors moved, and knowing which one tells you whether a merchandising change or a pricing change caused it.

The second identity connects it to traffic: revenue per visitor = AOV × conversion rate. A $90 AOV at a 3% conversion rate earns $2.70 per session. Revenue per visitor is the better metric for judging an A/B test, because a change that lifts AOV by pushing a bundle can easily suppress conversion, and RPV catches the trade. Work the conversion side with the conversion rate calculator and the combined figure with the revenue per visitor calculator.

To value an uplift, multiply it out: extra revenue = orders × AOV × uplift, and extra gross profit is that figure times your gross margin. The order count stays constant on purpose — the whole point of an AOV programme is more revenue from the same demand.

One caution about the arithmetic. AOV is a mean, and order values are usually right-skewed: a few wholesale or bulk orders sit far above the rest. If your top 1% of orders are ten times the typical order, the mean will describe none of your customers. Pull the median order value from your platform and watch both.

Worked example: a $148,500 month

Your store did $148,500 in net sales last month across 1,650 orders and 2,640 units, from 55,000 sessions, at a 42% gross margin. You think a bundle offer can lift AOV by 10%.

  1. Average order value: $148,500 ÷ 1,650 = $90.00.
  2. Units per order: 2,640 ÷ 1,650 = 1.60.
  3. Average item price: $148,500 ÷ 2,640 = $56.25. Check the identity: $56.25 × 1.60 = $90.00. ✓
  4. Gross profit per order: $90.00 × 0.42 = $37.80.
  5. Conversion rate: 1,650 ÷ 55,000 = 0.03 = 3.00%.
  6. Revenue per visitor: $148,500 ÷ 55,000 = $2.70. Check: $90.00 × 0.03 = $2.70. ✓
  7. AOV after a 10% uplift: $90.00 × 1.10 = $99.00.
  8. Extra revenue: 1,650 × $90.00 × 0.10 = $14,850 a month, or $178,200 a year.
  9. Extra gross profit: $14,850 × 0.42 = $6,237 a month.

Now sanity-check the cost of getting it. Suppose the uplift comes from a "buy two, save 10%" bundle and 15% of orders take it, moving from one item at $56.25 to two at $101.25. The AOV gain is 0.15 × ($101.25 − $56.25) = $6.75, which is a 7.5% uplift — not 10%. That $6.75 is already net of the discount: at full price those two units would have grossed $112.50, so the 10% off costs $11.25 on 15% of orders, or $1.69 per order, and $8.44 − $1.69 = $6.75. Where the discount really bites is profit. At a 42% gross margin the two-unit basket earns $36.00 of gross profit against $23.63 on the single unit, so the gain is $12.38 on each order that takes the bundle and $1.86 per order across the base — well short of the $2.84 that $6.75 of full-margin revenue would have produced. Always model the discount alongside the uplift.

How to read your AOV

There is no benchmark worth chasing. AOV is set almost entirely by what you sell: a store selling phone cases will never reach the AOV of a store selling mattresses, and neither figure says anything about whether the business is healthy. Compare your AOV to three things instead.

Your own trend. Month over month on a consistent definition, with seasonality in mind. A falling AOV alongside rising orders often means a promotion pulled in cheaper baskets — which may be fine if the customers repeat.

Your acquisition cost. This is the comparison that matters. Gross profit per order must clear the cost of getting the order, or you are buying revenue. At a $90 AOV and 42% margin you have $37.80 to work with; if your blended cost per acquisition is $40, the first order loses money and the business only works on repeat purchases. That is a legitimate model, but it has to be a deliberate one — check it against the customer lifetime value calculator.

Your free-shipping threshold. If your threshold is below your AOV, it is doing nothing: most orders already clear it. The usual rule of thumb is to set it 15–25% above current AOV, high enough to change behaviour and low enough that shoppers believe they can reach it.

Watch units per order as the leading indicator. It responds within days to a cross-sell block, a bundle or a quantity discount, while AOV also moves with product mix and price changes and is therefore noisier. If units per order is close to 1.0, your entire AOV opportunity is in attach rate.

What each AOV lever is worth, worked from a $90 baseline

Baseline: AOV $90.00, 1.60 units per order, average item price $56.25, 1,650 orders a month, 42% gross margin. Each row assumes the stated take-up rate and changes nothing else.
LeverAssumptionArithmeticNew AOVUplift
Accessory cross-sell12% of orders add a $25 item0.12 × $25 = +$3.00$93.00+3.3%
Post-purchase upsell8% accept a $19 offer0.08 × $19 = +$1.52$91.52+1.7%
Free-shipping threshold20% of orders add $18 to reach it0.20 × $18 = +$3.60$93.60+4.0%
Buy-two bundle at 10% off15% switch from 1 unit to 20.15 × ($101.25 − $56.25) = +$6.75$96.75+7.5%
Across-the-board 5% price riseNo volume loss$90.00 × 1.05 = +$4.50$94.50+5.0%
All four merchandising leversTake-up rates as above, additive+$3.00 + $1.52 + $3.60 + $6.75$104.87+16.5%

The bundle row gives the largest uplift but converts the least of it into profit, because the 10% discount comes out of gross margin: those two units would have grossed $112.50 at full price, so you fund $11.25 on 15% of orders. At a 42% margin the two-unit basket yields $36.00 of gross profit against $23.63 on a single unit, so its $6.75 of AOV becomes $1.86 of gross profit per order rather than the $2.84 the same revenue would bring at full margin. Price rises are the only lever that raises AOV and margin together — and the only one that risks volume.

Define AOV once, then never move the goalposts

Marketing Metrics (Farris, Bendle, Pfeifer and Reibstein) defines average order value the way this calculator does — revenue divided by the number of orders — but leaves the revenue definition to the firm, and there is no governing standard for what belongs in the numerator. Shopify, WooCommerce, Amazon and your accounting system will each hand you a different AOV for the same month, because they differ on shipping income, sales tax, discounts, gift cards, refunds and cancelled orders.

Pick one definition, write it down, and use it everywhere. The most defensible choice is net revenue excluding tax and shipping, after discounts and refunds, divided by paid orders — it matches how you would state revenue to an investor. What you must not do is compare an AOV that includes shipping against a previous month's that did not, then celebrate the increase.

Mistakes that make an AOV figure misleading

  • Reading the mean when the distribution is skewed. A handful of wholesale orders can lift AOV 20% while nothing changed for retail customers. Check the median.
  • Mixing periods. Revenue for the month against orders for the last 30 days gives a number that is wrong in a way nobody notices.
  • Counting refunded orders inconsistently. If you strip refunded revenue from the numerator, strip the order from the denominator too.
  • Blending channels. Marketplace, retail and direct orders have different AOVs and different fee structures. A blended figure hides which channel is improving.
  • Chasing AOV with discounts and calling it growth. A bundle that lifts AOV 8% while giving away 10% of margin has made the business worse. Judge every lever on gross profit per order, not AOV.
  • Ignoring the effect on conversion. A minimum-order rule or an aggressive upsell interstitial can raise AOV and cut conversion further. Revenue per visitor is the metric that keeps you honest.
  • Setting a free-shipping threshold below AOV. If most orders already qualify, you are paying for shipping and getting no behaviour change in return.

Where AOV sits among the other e-commerce metrics

AOV is a per-transaction metric, which is both its strength and its limit. It says nothing about whether the customer comes back, so it should never be optimised alone.

Against lifetime value: AOV is one order; LTV is the whole relationship. A subscription box with a $35 AOV and eleven repeat orders is worth far more than a $200 one-off. If a tactic lifts AOV but attracts one-time discount hunters, LTV falls while AOV rises.

Against conversion rate: the two trade against each other constantly, and revenue per visitor is the referee. Any test that moves AOV should be judged on RPV.

Against acquisition cost: AOV × gross margin is the budget you have for acquiring an order. Raising AOV raises the CPA you can afford, which is often the fastest route to unblocking a paid channel — see the ROAS calculator for how a higher AOV lowers the ROAS you need to break even.

Against basket abandonment: bigger baskets abandon more often, especially when shipping cost appears late. If an AOV push coincides with a jump in your cart abandonment rate, the two are usually related. And if you sell on marketplaces, remember that fees scale with order value: the Amazon FBA profit calculator shows how much of a bigger order the platform keeps.

Frequently asked questions

What is a good average order value?

There is no universal figure, because AOV is dictated by what you sell — a $28 AOV is excellent for a store selling socks and a disaster for one selling furniture. The comparison that matters is against your own cost of acquiring an order: gross profit per order must clear it. At a 42% margin, a $90 AOV gives you $37.80 to spend on acquisition and still profit. Track your own trend and the ratio to acquisition cost, not an industry average.

How do I calculate AOV in Shopify or Google Analytics?

Both report it, and both may disagree with your accounts. Shopify's analytics divides gross sales by orders for a chosen period; GA4 reports average purchase revenue from its own purchase events, which will miss orders it failed to track and may include shipping. Export revenue and order count yourself and divide, so you know exactly what is in the numerator. Then use that same definition every month.

Should shipping revenue be included in AOV?

Either way works as long as you are consistent, but excluding it is cleaner. Shipping income is a pass-through that mostly funds a cost, so including it inflates AOV without adding profit — and it makes AOV jump whenever you change your shipping policy. If you do include it, include the shipping cost in your gross margin too, otherwise gross profit per order will be overstated.

Does raising AOV always increase profit?

No. It depends entirely on how you raise it. An accessory cross-sell adds revenue at full margin and is almost pure profit. A bundle discount adds revenue while giving margin away, and can leave you with more revenue and less profit. A price rise adds both revenue and margin but risks volume. Model each lever on gross profit per order, not on AOV.

What is the difference between AOV and average basket size?

They are often used interchangeably, but retailers usually mean two different things. Average basket size in dollars is the same as AOV. Average basket size in items is units per transaction — the average number of items in an order. Both matter: AOV tells you the revenue, units per transaction tells you whether to attack attach rate or price point. This calculator reports both.

Where should I set my free-shipping threshold?

The usual rule of thumb is 15–25% above your current AOV. Set it below AOV and most orders already qualify, so you pay for shipping and change no behaviour. Set it too far above and shoppers dismiss it as unreachable. With a $90 AOV, a threshold somewhere around $100–$110 is the usual starting point — then test it, because the right answer depends on your price points and how easily a customer can find a small add-on item.

Why did my AOV rise while revenue fell?

Because revenue is orders × AOV, and the order count fell faster than AOV rose. A month of 1,200 orders at $99 brings in $118,800, which is 20% less than 1,650 orders at $90 even though AOV is 10% higher. The usual causes are a promotion ending, a paid channel being switched off, or a stock-out on a cheap entry product that had been generating a lot of small orders. Rising AOV with falling orders is often a mix effect rather than an improvement, so read the two figures together — revenue per visitor catches this immediately and AOV never does.

How many orders do I need before AOV is reliable?

Enough that a single large order cannot move the number much. As a practical test, remove your largest order and recalculate: if AOV shifts by more than a couple of percent, the sample is too small or too skewed to act on. For A/B testing an AOV change you generally need several hundred orders per variant, because order values vary far more than conversion does — which is another reason to judge tests on revenue per visitor.

References