Average Order Value
Calculator

Inputs

Average order value
136.666666

Results

Average order value
136.666666
Orders per 1000 in revenue
7.317073

Results

Average order value136.666666
Orders per 1000 in revenue7.317073

formula-map diagram

Average order value
136.666666
Orders per 1000 in revenue
7.317073

Formula breakdown

Formula

AOV = Total revenue ÷ Number of orders

= 136.66666666667

Note

This is a simplified model. Results use standard textbook definitions and ignore taxes, seasonality, attribution lag, discounting and accounting policy differences. Use them as an estimate, not as accounting, tax or investment advice.

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Frequently asked questions

How is average order value (AOV) calculated?+

AOV = total revenue / total number of orders over a given period. It shows the average amount customers spend per transaction, which is a key metric for e-commerce and retail profitability planning.

Why is increasing AOV often cheaper than acquiring new customers?+

Techniques like upselling, cross-selling, or offering free-shipping thresholds increase revenue from existing traffic and customers without any additional marketing spend, making AOV improvements often more cost-effective than customer acquisition for growing revenue.

How does AOV relate to customer lifetime value?+

AOV is one of the direct inputs into most customer lifetime value formulas (CLV = AOV x purchase frequency x customer lifespan), so raising AOV directly increases the estimated lifetime value of each customer, all else being equal.

Can a rising AOV mask a declining number of orders?+

Yes — if fewer customers are buying but each is spending more, total revenue could stay flat or even grow while AOV rises, masking a shrinking customer base; AOV should always be reviewed alongside total order count and unique customer count, not alone.

What strategies commonly increase average order value?+

Common tactics include free-shipping thresholds set above the typical order size, bundling complementary products, quantity discounts, and personalized product recommendations at checkout — all designed to nudge customers toward adding more to their cart.