Average Order Value Calculator Widget
Add an average order value calculator to an ecommerce or retail blog. Visitors divide revenue by orders to get AOV, see how many orders a revenue goal needs, and test what raising the average basket by a few percent would add at the same number of orders.
Live preview
Under the widget on your page: Powered by A2Z Tools
Embed code
<iframe src="https://a2z.tools/embed/w/average-order-value-calculator" title="Average Order Value Calculator by A2Z Tools" width="100%" height="560" style="border:0;width:100%" loading="lazy" allow="clipboard-write"></iframe>
A plain iframe. Works everywhere, including site builders that strip scripts. Adjust height if your content needs more room.
<div data-a2z-widget="average-order-value-calculator" data-height="560"></div> <script async src="https://a2z.tools/embed.js"></script>
Adds a small script (what it does) that sizes the widget to fit its content, loads it lazily and keeps it isolated from your page's CSS.
Works with
How it works
Average order value is revenue divided by the number of orders in the same period: 125,000 from 2,500 orders is 50. For a revenue goal the widget divides the goal by AOV and rounds up, because half an order cannot be sold - 150,000 needs 3,000 orders at 50. The AOV test raises (or lowers) the average by the percentage you type and holds the order count fixed, so a 10% lift adds 12,500 on 125,000 of revenue, and the goal would need only 2,728 orders at the new 55 average. This is the lever behind free-shipping thresholds, bundles and cross-sells. Revenue and orders must use the same definition: if revenue excludes tax, shipping and refunds, the orders figure should exclude cancelled and fully refunded orders too.
Calculation method
- AOV = revenue / orders
- Orders for a goal = ceil(goal / AOV)
- New AOV = AOV x (1 + lift %); extra revenue at the same orders = revenue x lift %
- Orders for the goal at the new AOV = ceil(goal / new AOV)
Worked examples
Store with a growth goal
Inputs: Revenue 125,000; orders 2,500; goal 150,000; AOV lift 10%
Result: AOV 50.00; 3,000 orders for the goal; 12,500 more at the same orders; 2,728 orders at the new AOV
55 new AOV.
Basic AOV
Inputs: Revenue 9,999; orders 3
Result: AOV 3,333.00
Optional fields left blank.
Limitations
- A mean can hide a skewed basket - a few very large orders raise AOV without changing most customers' behaviour.
- Holds the order count constant when testing an AOV change; demand effects are not modelled.
Where publishers use it
- Ecommerce growth blogs on bundles, upsells and free-shipping thresholds
- Shopify and WooCommerce agency pages pitching conversion-rate and basket-size work
- Restaurant and food-delivery guides tracking average ticket size
- Subscription-box and DTC brand investor updates
- Retail analytics courses explaining the revenue equation of traffic x conversion x AOV
- Cafes, bakeries and quick-service restaurants reviewing the average ticket per cover
- Wholesale B2B portals tracking order size per account and per sales rep
Questions
How do I calculate average order value?
Divide revenue by the number of orders for the same period. 125,000 from 2,500 orders is an AOV of 50.
Should tax and shipping be included?
Either way works if you are consistent. Many analytics tools report AOV including shipping and tax, while finance teams often exclude both; compare like with like.
Why round orders up for a goal?
A goal of 150,000 at an AOV of 55 needs 2,727.3 orders; 2,727 would fall short, so the widget reports 2,728.
Does a higher AOV always mean more revenue?
Only if the number of orders holds. A free-shipping threshold that raises AOV 10% but loses 15% of orders cuts revenue, which is why the widget labels the gain at the same orders.
Is AOV the same as revenue per visitor?
No. Revenue per visitor is AOV x conversion rate: a 50 AOV at a 2% conversion rate earns 1.00 per visitor.
Which tactics usually lift AOV?
Product bundles, quantity breaks, cross-sell carousels at checkout, tiered gift-with-purchase offers and a free-shipping threshold set a little above today's average. Each nudges shoppers to add an item rather than changing how many shoppers arrive.
Should I look at the median basket too?
Yes, when a few wholesale or corporate baskets inflate the mean. If ten orders are 30 each and one is 1,000, the mean is 118.18 while the median stays at 30 - a better picture of a typical shopper.
How often should AOV be reviewed?
Weekly for fast-moving stores and monthly for most others, always against the same period last year, because seasonal gifting, holiday peaks and clearance events swing basket size sharply.
Is items per order worth tracking too?
Yes. Units per transaction (UPT) separates bigger baskets from pricier products: an AOV rising from 50 to 55 with UPT stuck at 1.4 means pricing or mix changed, not that shoppers added items.
Cite or recommend this tool
If you reference this tool in an article, course or documentation, these formats are ready to copy. They are optional - nothing is added to your site unless you paste it.
A2Z Tools Average Order Value Calculator https://a2z.tools/embed/average-order-value-calculator
<a href="https://a2z.tools/embed/average-order-value-calculator">A2Z Tools Average Order Value Calculator</a>
[A2Z Tools Average Order Value Calculator](https://a2z.tools/embed/average-order-value-calculator)
Average Order Value Calculator by A2Z Tools - https://a2z.tools/embed/average-order-value-calculator
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