AOV means average order value. Add up the revenue from all orders in a period and divide by the number of orders. A store that took 500 orders worth 30,000 in total has an AOV of 60.
It's a core ecommerce number, and you'll see it in Shopify, GA4 and most store dashboards. AOV is measured per order, not per customer, so one shopper who buys three times counts as three orders.
Advertisers care about AOV because it caps what you can spend to win an order. Pair it with conversion rate and you know how much revenue each visitor brings, and from there how much you can pay per click and still turn a profit.
Mechanics
What moves average order value
Product mix is the first driver. If traffic lands mostly on low priced items, AOV stays low no matter how good the checkout is. Push bundles, larger pack sizes or premium versions and the mix shifts upward.
Store mechanics come next. A free shipping threshold set a little above the current AOV nudges shoppers to add one more item. Product recommendations in the cart, volume discounts and gift sets work the same way.
Discounts pull in the other direction. A sitewide sale can lift order count while each order gets smaller, so AOV drops even as revenue rises. Traffic source matters too. Someone who searched for one specific product often buys just that product, while a returning email subscriber may fill a larger basket.
Example
A worked example with a shipping threshold
Assume a pet supply store took 1,200 orders last month worth 54,000 in revenue, an AOV of 45. Free shipping currently applies above 40, so most orders already qualify and the threshold does little.
The store raises the threshold to 60 and adds a cart suggestion for treats and toys. Say the following month brings 1,150 orders worth 59,800, an AOV of 52. Order count fell slightly, but revenue rose by 5,800.
Now tie it back to advertising. If the store keeps 35 percent of revenue as gross profit, an order at 45 leaves 15.75 to pay for ads, while an order at 52 leaves 18.20. With a conversion rate of 2 percent, the break-even click price moves up by about 0.05, which lets campaigns bid a little higher on the same keywords without losing money.
Use
When AOV helps and when it misleads
- Use it to set affordable acquisition costs and bid limits, since the value of a typical order caps what a click or a conversion is worth.
- Use it to judge store changes such as bundles, thresholds and cart suggestions, always read alongside order count and total revenue.
- It misleads when a few very large orders pull the average up; the median order value shows what a typical shopper really spends.
- It misleads if returns and cancellations stay in the data, because refunded orders still sit in the average.
Watch out
Common mistakes with AOV
- Celebrating a higher AOV while total orders drop enough that revenue and profit fall.
- Mixing wholesale or B2B orders with retail ones, which produces an average that describes neither group.
- Reporting AOV with tax and shipping in some months and without them in others, so trends reflect a change of definition.
- Treating AOV as customer value; it covers one order only, and repeat buying is what LTV measures.
FAQ
Questions about AOV
How do I increase average order value without hurting sales?
The usual levers are bundles, a free shipping threshold set a little above your typical basket, and relevant add ons in the cart. Watch order count and margin alongside AOV each week. If fewer people check out, the higher basket size may not make up for the lost orders.
What is a good average order value for an online store?
There's no single number that counts as good, because AOV follows your price points, category and whether shoppers buy one item or several. A more useful test is whether AOV covers the cost of winning an order with room left for margin. Track your own trend by month and by channel rather than chasing an outside number.
Is AOV the same as customer lifetime value?
No. AOV describes one checkout, while lifetime value adds up every order a customer places over time, minus costs if you calculate it on margin. A shop with modest baskets can still earn well when people reorder often, so read the two metrics together when setting acquisition budgets.
