← All ecommerce KPIsThe ecommerce KPI guide

Average order value.
Make every order
more valuable.

Understand what customers spend, measure what matters, and discover opportunities to grow your average order value.

DefinitionFormulaBenchmarksCustomer stories

What’s your AOV?

Start with your numbers.

Calculator

Use the same period. Exclude tax and shipping.

Your average order value€80.00€24,000 ÷ 300 orders

A bigger order is a good start.
A more profitable order is the goal.

01 / The definition

One number.
A clearer picture of
every purchase.

Average order value (AOV) is the average amount a customer spends per order in your online store. Calculate it by dividing revenue by the number of orders over the same period.

It helps you understand purchasing behavior, evaluate promotions, and identify opportunities to make each order more valuable.

Average order value=RevenueNumber of orders
A small change can add up

What could an extra €8
per order mean?

At the same 300 orders, moving AOV from €80 to €88 generates €2,400 more revenue.

Current AOV€80
Illustrative target€88
+€2,400Revenue at unchanged order volume

Illustrative example, not a forecast. Track conversion, order volume, and contribution profit alongside AOV.

02 / The measurement

Simple formula.
Consistent inputs.

The calculation is easy. Useful comparisons start with the same definition of revenue and orders.

01

Choose a consistent period.

Start with a complete month. Compare with the previous month and the same month last year to account for seasonality. Use a comparable baseline for promotions.

02

Define your revenue.

For merchandise AOV, use product revenue after discounts, excluding tax and shipping. Check your platform’s definition before comparing its dashboard with another source.

03

Count the matching orders.

Use unique completed orders. Exclude canceled and test orders. Divide by orders, not customers: one shopper can place several orders.

04

Look beyond the average.

Compare new and returning customers, countries, channels, and promotions. A change in product or customer mix can move AOV without changing individual shopping behavior.

A worked example

One month. 300 orders.

Merchandise sales
€26,000
Discounts
−€2,000
Revenue after discounts
€24,000
Completed orders
300
Average order value
€80

Illustrative example. No returns assumed; tax and shipping excluded.

Try your numbers
How should I account for returns?

For return-adjusted AOV, subtract refunds associated with the original order group and retain those orders in the denominator, including fully refunded orders. State the refund cutoff date. This avoids mixing refunds from earlier purchases with a different month’s orders. Your order export is a useful starting point.

03 / Industry benchmarks

Find your context.
Then set your target.

A beauty store and a furniture retailer should not share the same AOV target. Compare similar products, customers, channels, and revenue definitions.

Use these industry figures as context, then identify a specific opportunity in your own store.

Average order value by industry

Google Ads · USD
Reported median AOV · August 2025–July 2026
IndustryRelative valueMedian AOV
Apparel & accessories$99.39
Beauty$70.24
Home & garden$129.92
Food & beverage$71.39
Sports & outdoors$131.92
Health & wellness$72.34
Electronics$127.02
Pets & animals$69.08

Source: Triple Whale’s Google Ads benchmarks ↗. Report covers more than 21,000 brands, August 1, 2025–July 31, 2026.

These figures come from a Google Ads report, not all ecommerce orders. Category sample sizes, geographic mix, and tax/refund treatment are not specified alongside the source table. Use them as directional context, especially against storewide AOV.

04 / Customer stories

Higher order values.
Real customer stories.

See how different retailers use Clerk to make product discovery more relevant.

Gallerix customer story
Wall art & frames
+25%average order value

A better way to discover the perfect pairing.

Gallerix used Search and Recommendations to help shoppers explore its catalog of prints and frames. The story reports 25% higher AOV and 37% larger baskets.

Read the story
Carlsberg customer story
B2B food & beverage
+17%average order value

Relevant recommendations. Bigger B2B orders.

Carlsberg introduced personalized recommendations across its B2B webshop, including product pages and checkout. The story reports 17% higher AOV and 24% larger baskets.

Read the story
Eva Solo customer story
Home & design
+125%average order value

A more personal journey, from discovery to email.

Eva Solo combined Search, Recommendations, and Email. Its story reports 125% higher AOV and an 81% increase in basket size, without isolating each tool’s contribution.

Read the story

Individual reported outcomes, not benchmarks or forecasts. The stories use different implementations and do not provide a standardized test design or measurement window for direct comparison.

05 / Put it into practice

Give shoppers a reason
to add a little more.

The strongest AOV opportunities begin with something useful to the customer. Help them find the right product, understand their options, and discover what goes with it.

01

Recommend products that belong together.

A frame for a print. A compatible accessory for a tool. Show useful additions that give shoppers a clear reason to add another product.

Explore Recommendations
02

Make relevant upgrades easy to compare.

Explain what a larger size, longer-lasting version, or extra feature offers. Keep the original option easy to find and make the benefit of the upgrade clear.

Explore product discovery
03

Make the add-to-basket moment count.

After a shopper adds an item, suggest relevant accessories or products that complete their basket. Explore the Amazon-style upsell page, with a clear route to checkout.

Explore Amazon’s upsell tactic
04

Explore your revenue opportunity.

Use your traffic, orders, and average order value to model a potential uplift. Treat the result as a planning scenario, then measure actual performance in your store.

Try the revenue calculator
Keep the bigger picture in view.

More expensive orders can still mean fewer purchases or lower profit. When possible, use randomly assigned test and control groups to track AOV, conversion, revenue per visitor, returns, and contribution profit. A calculator estimate is not a measured result, and higher order values among search users alone do not prove a search change caused an improvement.

A few more answers

AOV,
explained.

Is average order value the same as average basket size?

No. AOV measures money per order; basket size measures units per order. Three €20 products make a €60 order with a basket size of three. One €100 product creates a higher order value with fewer units.

Should AOV include tax and shipping?

That depends on the reporting definition. For merchandise analysis, excluding tax and shipping makes product spending easier to compare. Apply the same approach consistently, and check the definition of any external benchmark.

Is a higher AOV always better?

No. Higher prices or order thresholds may increase AOV while reducing purchases. Discounts can encourage bigger orders while cutting profit. Evaluate revenue and contribution profit as well as order value.

How often should I measure AOV?

Review it monthly for overall performance and more frequently during meaningful tests or promotions. Give returns time to mature before judging return-adjusted results, and avoid conclusions based on only a few orders.

What is the difference between AOV and customer lifetime value?

AOV measures the average value of one order. Customer lifetime value considers value across a customer’s relationship with your business. Several modest repeat purchases can be worth more than one large order.

Your store. Your next opportunity.

Help shoppers discover
more of what they need.

Make relevant products easier to find and useful additions easier to discover with Clerk.