AOV Calculation: How to Calculate Average Order Value (Formula + Examples)

What Is the AOV Calculation Formula?

Two numbers. One division. That's it.

AOV calculation is the process of dividing total revenue by total number of orders for a given period, which tells you how much a customer spends per transaction on average. According to Shopify's ecommerce benchmark data, the global average AOV across all industries is approximately $145 — though this blended figure means little without your own category as context.

The formula:

AOV = Total Revenue ÷ Number of Orders

That part is easy. Where AOV calculations actually go wrong is in what counts as "revenue" and what counts as an "order" — the time window, tax and shipping, cancelled orders, subscription renewals. Get those inputs wrong and the number lies to you quietly, without ever looking obviously broken. We'll cover the exact rules after the basic mechanics.

How Do You Calculate AOV Step by Step?

Start with a real example.

To calculate AOV, add up total revenue for your chosen period, then divide by the number of orders placed in that same period. If your store generated $2,000 in revenue from 100 orders, your AOV is $20. Shopify confirms this is the standard formula used across ecommerce reporting platforms.

Here's a slightly bigger example. Say your store did $84,500 in revenue from 1,220 orders last month.

$84,500 ÷ 1,220 = $69.26 AOV

Five steps to run this calculation correctly every time:

1. Pick your time period. Weekly for trend-tracking, monthly for reporting, quarterly for board updates. Pick one and stay consistent — comparing a 7-day AOV to a 30-day AOV tells you nothing.
2. Pull total revenue for that exact period from your order management system or storefront analytics.
3. Pull total order count for the same window. Same start date, same end date as the revenue figure. Mismatched date ranges are the single most common AOV calculation error.
4. Divide revenue by orders.
5. Round to the nearest cent. Small AOV shifts (a $2 move on a $70 baseline) are often the first signal that a promotion or pricing change is working before conversion rate or revenue moves visibly.

Should You Use Gross or Net Revenue When Calculating AOV?

This is where most calculations quietly break.

Use net revenue for the most accurate AOV calculation: after refunds and cancellations, before tax, with shipping revenue handled consistently either way. Including sales tax inflates AOV without reflecting real spending power, and counting cancelled orders in your order total while excluding their revenue understates the number. BigCommerce's metrics glossary defines AOV revenue as reflecting actual completed sales for the period, not gross transaction totals.

Three rules to apply consistently:

• Exclude sales tax. Tax is not revenue you earned — it is money you collect and remit. Including it makes your AOV look higher than your actual pricing power.
• Decide on shipping revenue once, and stick with it. Most ecommerce teams exclude shipping revenue from AOV since it does not reflect product-level spending decisions. Whichever you choose, apply it the same way every period so trends stay comparable.
• Exclude cancelled and fully refunded orders from both sides of the equation. If an order is cancelled, remove its revenue from the numerator and remove the order itself from the denominator. Removing one without the other is the fastest way to produce a wrong number that still looks plausible.

If your refund rate is meaningfully high, calculate both a gross AOV and a net AOV and track the gap between them. A widening gap is often an early warning sign for a quality or expectation-setting problem, before it shows up anywhere else.

How Do You Calculate AOV by Channel, Device, or Customer Segment?

One blended number hides three different stories.

Segment your AOV calculation by traffic source, device, and customer type by filtering both revenue and order count to that segment before dividing. A single blended AOV can look healthy while masking a mobile checkout problem or an underperforming paid channel — segmenting the same formula surfaces what the average conceals.

The formula never changes. What changes is the filter you apply before you divide:

ConversionStudio's own signal scanner surfaces AOV alongside conversion rate and traffic in one view specifically because a segment-level AOV drop is often the earliest signal something changed, before it's visible in blended revenue.

Why Do Mean, Median, and Mode Give You Different AOV Numbers?

Your "average" might be lying to you.

The standard AOV formula calculates the mean, which a handful of large orders can pull upward and misrepresent your typical customer's actual spend. Taylor Holiday, co-founder of Common Thread Collective, cited in Shopify's benchmark guide, gives an example where a store's mean order value was $24, but the mode — the single most common order amount — was only $15, meaning most customers spent well below the "average."

Three ways to read the same order data:

• Mean — the standard AOV calculation. Total revenue divided by total orders. Useful for revenue forecasting, but sensitive to a small number of large orders.
• Median — the middle value if you lined up every order from smallest to largest. Less distorted by outliers than the mean.
• Mode — the single most common order amount. This is what your typical customer actually spends.

Use mean AOV for forecasting and reporting. Use median and mode when you're setting a decision that depends on typical customer behavior — a free shipping threshold, for example. Setting that threshold at your mean can price out the largest cluster of your actual customers if your mode sits well below it.

Not sure if your AOV calculation is telling you the real story? See how your metrics compare and where the gaps sit — try ConversionStudio's free signal scanner. Takes 3 minutes. Free. No pitch.

What's a Realistic AOV Benchmark by Industry?

A $75 AOV can be excellent or disappointing, depending entirely on what you sell.

AOV benchmarks vary widely by category: beauty and personal care typically runs $15-$90, apparel and accessories $40-$170, and luxury and jewelry often exceeds $300 per order. Shopify's benchmark data puts the blended global average across all industries at approximately $145.

If your calculated AOV sits well outside your category's range, check your calculation inputs before you assume there's a pricing or product problem. A number that's too low might mean tax was excluded incorrectly; a number that's too high might mean cancelled orders weren't removed. Once you've confirmed the number is accurate, our guide on how to increase average order value covers the strategies that move it.

What Mistakes Throw Off Your AOV Calculation?

Five ways this number quietly goes wrong.

The most common AOV calculation mistakes are mismatched date ranges between revenue and order counts, including tax or shipping inconsistently, counting subscription renewals as new orders without a clear rule, forgetting to exclude cancelled orders from both sides of the formula, and blending B2B bulk orders with single-unit D2C orders. Each one moves the number without reflecting real customer behavior.

1. Mismatched date windows. Revenue pulled from one report and orders pulled from another, on slightly different date ranges. Always pull both from the same report, same window.
2. Inconsistent tax and shipping handling. Decide once whether shipping revenue counts, exclude tax always, and apply the rule the same way every time you run the calculation.
3. Uncounted subscription renewals. If you sell subscriptions, decide upfront whether a renewal counts as a new "order" for AOV purposes. Mixing the two without a rule makes month-over-month comparisons meaningless.
4. Cancelled orders removed from only one side. Pull a cancelled order's revenue out of the numerator without removing the order from the denominator, and your AOV understates reality.
5. Blending B2B and D2C order types. A handful of large B2B bulk orders can swing a blended AOV dramatically. Split them into separate calculations if both order types exist in your data.

How Does AOV Calculation Feed Into ROAS and Customer Lifetime Value?

AOV isn't just a number for a dashboard.

A correct AOV calculation directly changes your break-even ROAS and your customer lifetime value math. An AOV miscalculated 10% too high makes ad campaigns look profitable when margins don't actually support them, and an LTV model built on a wrong AOV overstates how much you can safely spend to acquire a customer.

AOV sits inside two other formulas you're likely already tracking:

AOV × Purchase Frequency × Customer Lifespan = Customer Lifetime Value. Get AOV wrong and every LTV figure downstream is wrong by the same margin. See our customer lifetime value formula guide for the full calculation.

Higher AOV lowers your break-even ROAS. When customers spend more per order, fewer orders are needed to cover a fixed ad cost. Once your AOV is confirmed accurate, plug it into our ROAS calculation guide to see how the two numbers move together.

Frequently Asked Questions

How do you calculate AOV?

Divide total revenue by total number of orders for the same time period. If your store earned $84,500 from 1,220 orders in a month, your AOV is $69.26. Always pull revenue and order count from the same date range to avoid the most common calculation error.

What is a good AOV calculation result?

It depends entirely on your industry. Beauty and personal care brands typically see $15-$90, apparel brands $40-$170, and luxury or jewelry brands often exceed $300, according to Shopify's ecommerce benchmark data. Compare your number to your own category, not a blended global average.

Should AOV include tax and shipping?

No. Exclude sales tax from your AOV calculation since it is collected and remitted, not earned revenue. Decide once whether shipping revenue counts, and apply that rule consistently every period so your AOV trend stays comparable month to month.

How often should you recalculate AOV?

Weekly is more useful than monthly for catching problems early. A monthly AOV can hide the one week a promotion or pricing error tanked order value. Track AOV against a 4-week rolling baseline rather than comparing single days, which are noisy.

Does AOV calculation change with subscriptions?

Yes, if you don't set a rule upfront. Decide whether subscription renewals count as new orders in your AOV formula before you start tracking. Mixing renewals and new orders without a consistent rule makes month-over-month AOV comparisons unreliable.

Keep Reading

• How to Increase Average Order Value: 12 Proven Strategies
• ROAS Calculator: Calculate Your Return on Ad Spend Instantly
• Customer Lifetime Value Formula: How to Calculate LTV