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Conversion & funnels

Average order value (AOV)

Average order value (AOV) is total revenue divided by the number of orders. It is simple but easy to misread: a few large orders pull the mean upward, refunds and taxes change what 'revenue' means, and mixing currencies without conversion corrupts it. For skewed order sizes, the median order value is often more honest.

Verified against primary sources

What this means

AOV = total revenue ÷ number of orders over a period. It answers 'how big is a typical order' and feeds revenue forecasts and LTV models. The definition of 'revenue' is a choice: gross, net of refunds, net of tax and shipping — each yields a different AOV, so state which you mean.

Why the mean misleads

Order sizes are usually skewed: many small orders and a handful of large ones. The mean is sensitive to those large orders, so AOV can rise because of a few outliers rather than a broad shift. When the distribution is skewed, the median order value describes the typical customer better. Mixing currencies, or counting refunded orders at full value, also distorts the figure.

Always report AOV alongside order count and the revenue basis, and consider the distribution rather than the single mean.

How it appears in analytics and logs

AOV is the mean order size. A rising AOV can be genuine basket growth or just a few outlier orders; the mean alone cannot tell which, so pair it with a distribution or median.

Diagnostic use case

Track AOV to understand typical order size and to model revenue, while checking skew and stating whether revenue is gross, net of refunds, or net of tax.

What WebmasterID can help detect

WebmasterID records purchase events with their value first-party, so AOV reflects your own orders rather than an external estimate.

Common mistakes

Privacy and accuracy notes

AOV is an aggregate ratio of revenue to orders; no personal data is needed. WebmasterID measures purchase events with value first-party.

Related pages

Sources and verification notes

Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.