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Average Order Value (AOV)

E-commerce strategy and analyticsBasic Level

The average amount a customer spends per order: total revenue divided by the number of orders in the same period.

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What is Average Order Value (AOV)?

Average order value (AOV) is the average amount a customer spends per order. You calculate it by dividing total revenue by the number of orders in the same period: EUR 50,000 in revenue from 1,000 orders gives an AOV of EUR 50. AOV is one of the three levers of online revenue, next to traffic and conversion rate. It differs from customer lifetime value (CLV), which adds up all orders from one customer over time, and from revenue per visitor, which also counts visitors who did not buy. Decide upfront whether you include shipping, tax and refunds, and keep that choice fixed so periods stay comparable. You can work out your own figure with the average order value calculator.

Why Average Order Value (AOV) matters for e-commerce

Revenue is traffic times conversion rate times average order value, so a higher AOV grows revenue without buying more traffic. Shipping, packaging and payment fees are often charged per order, which means larger orders usually leave more margin per order. AOV also tells you whether tactics such as bundles, cross-sells and free shipping thresholds actually change what people put in their cart.

Examples of Average Order Value (AOV)

  • 1Revenue: EUR 12,000, Orders: 300, AOV: EUR 40
  • 2Tactic: free shipping from EUR 60, What to measure: share of orders just above EUR 60
  • 3Tactic: shampoo and conditioner bundle, What to measure: AOV of orders with the bundle versus single items
  • 4Tactic: 'often bought together' block on a camera page, What to measure: how often memory cards and bags are added
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How WISEPIM Helps

  • Product families and variants keep sizes, colors and accessories linked, so bundle and cross-sell blocks work with correct data.
  • Cross-sell analytics in WISEPIM show which products customers buy together, based on orders imported from Shopify, WooCommerce, Magento 2, CCV Shop or Lightspeed.
  • Pricing rules per channel let you set bundle or volume prices for each sales channel from one place.
  • AI enrichment fills in descriptions and specs, so shoppers have the facts they need to trust a pricier item or an add-on.

Common mistakes with Average Order Value (AOV)

  • Raising AOV with deep discounts on bundles, so revenue per order goes up while margin goes down.
  • Watching AOV on its own while conversion rate drops because of a free shipping threshold that is set too high.
  • Including shipping and tax in one period and excluding them in the next.
  • Showing cross-sell suggestions that do not fit, such as a phone case for a different model.
  • Letting a few very large B2B orders skew the average without checking the median as well.

Tips for Average Order Value (AOV)

  • Set your free shipping threshold a little above your current AOV and check the conversion rate after the change.
  • Offer accessories that truly match the product, based on attributes such as model, size or connector.
  • Report AOV per channel and per category, because one average for the whole store hides big differences.
  • Track gross margin per order next to AOV, so a higher basket does not hide a lower profit.
  • Calculate a baseline first with the average order value calculator, then test one change at a time.

Trends around Average Order Value (AOV)

  • Recommendation blocks driven by order history instead of fixed manual lists.
  • Tiered free shipping and loyalty perks tied to cart value.
  • Bundles and kits built from product data, such as a camera with matching lens, card and bag.
  • Volume and tier pricing for B2B buyers in the regular webshop.

Tools for Average Order Value (AOV)

  • WISEPIM: keeps variants, accessories and channel prices in one place and shows cross-sell patterns from imported orders.
  • Google Analytics 4: reports average purchase revenue and lets you split it by channel and campaign.
  • Shopify and WooCommerce: built-in sales reports that show average order value per period.
  • Optimizely and similar A/B testing tools: test thresholds, bundles and recommendation blocks against a control group.

Related Terms

Agentic commerceConversion Rate (CR)Conversion Rate Optimization (CRO) for Product PagesDemand forecastingDigital Shelf

Also Known As

AOVAverage basket valueAverage transaction valueAverage order size

Frequently Asked Questions

Divide total revenue by the number of orders in the same period. EUR 30,000 from 600 orders gives an AOV of EUR 50. State whether the revenue includes shipping, tax and refunds, and use the same definition every time.

AOV looks at a single order: how much is spent per purchase on average. Customer lifetime value (CLV) adds up everything one customer spends over the whole relationship. A store can have a modest AOV and a high CLV when customers come back often.

There is no single good number, because AOV depends on your category and price level. A furniture store and a phone accessory store will never be comparable. Compare your AOV with your own history, per channel and per category, and watch the trend after each change.

Common tactics are bundles, relevant cross-sells and upsells, a free shipping threshold just above the current AOV, and volume pricing. They work best when product data is complete, so the suggested items truly fit and shoppers can compare them.

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