Ecommerce Calculator

AOV Calculator

Calculate average order value, revenue or orders. Enter any two values and PaidMediaKit will calculate the third.

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Revenue Metrics

Enter any two fields and leave the metric you want to calculate empty.

Total revenue generated.
Total number of completed orders.
Average revenue generated per order.

What is AOV?

AOV stands for Average Order Value. It measures the average amount of revenue generated each time a customer completes an order.

Calculate AOVAOV = Revenue ÷ Orders
Calculate RevenueRevenue = Orders × AOV
Calculate OrdersOrders = Revenue ÷ AOV

Example

If an ecommerce store generates 15,000 in revenue from 200 orders:

15,000 ÷ 200 =75.00 AOV

Why does AOV matter for paid media?

Average order value directly affects how much revenue each conversion can generate. Improving AOV can increase ROAS even if advertising spend, conversion volume and CPA remain unchanged.

AOV is particularly useful alongside conversion rate, CPA and ROAS when forecasting ecommerce campaign performance.

Using AOV in paid media

AOV adds revenue context, but it is not margin or lifetime value.

Why media buyers track AOV

AOV helps explain why revenue or ROAS can move even when order volume does not. Product mix, bundles, discounting and upsells can all change the value attached to each order and therefore change how much acquisition cost the business can support.

Use the same revenue definition

Gross sales, net sales, tax-inclusive revenue and post-refund revenue can produce different AOV figures. Pick one definition for the analysis and keep it consistent when comparing campaigns or periods.

Example: ROAS can improve because order value changed

If 100 orders generate 8,000 revenue, AOV is 80. If the next period still produces 100 orders but revenue rises to 10,000, AOV increases to 100. A higher ROAS in that period may therefore come from basket value rather than cheaper acquisition.

AOV limitations

  • AOV does not show gross margin or contribution margin.
  • It does not distinguish new customers from repeat customers.
  • It can be distorted by a small number of unusually large orders.
  • It should not be used as a substitute for customer lifetime value.