Average Order Value Lift Calculator

Enter the base and new AOV to get the lift.

How it is calculated

The tool compares two average order values (AOV), each being revenue divided by the number of orders for a period or test group. lift amount = new − base and lift % = (new − base) ÷ base × 100. The base AOV must be above zero, because it is the denominator. The new AOV may be lower than the base, in which case both results are negative and show a drop. Amounts are in US dollars with two decimals and the percentage has two decimals. The tool only compares the two numbers you give it: it does not test whether the difference is statistically reliable, and it ignores any change in the number of orders.

Worked example

A shop's average order was $62.40. After adding a "frequently bought together" bundle, the test group averaged $68.90. Step 1: lift amount = 68.90 − 62.40 = $6.50. Step 2: lift % = 6.50 ÷ 62.40 × 100 = 10.42%. The tool shows a lift of 10.42% and $6.50 per order. Before rolling out, check that fewer shoppers did not complete checkout, since a higher AOV with fewer orders can reduce total revenue.

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Common mistakes

  • Computing each AOV from different periods, such as a holiday week against a normal week, so the lift reflects seasonality rather than the tactic.
  • Dividing the dollar lift by the new AOV instead of the base AOV, which understates the percentage (6.50 ÷ 68.90 is only 9.43%).
  • Judging success by AOV alone: if the bundle lowers conversion, total revenue per visitor may still fall.
  • Letting a few very large orders sit in a small test group, which can create a lift that disappears with more data.
  • Entering revenue totals instead of per-order averages; both fields expect the average value of one order.

About this calculator

Average order value (AOV) is total revenue divided by number of orders — one of the core metrics ecommerce teams watch alongside conversion rate and traffic. The lift from a specific tactic (a product bundle, a free-shipping threshold, a "frequently bought together" upsell) is calculated two ways: the dollar lift (new AOV − base AOV) and the percentage lift ((new AOV − base AOV) ÷ base AOV × 100), since a $5 increase means something very different on a $30 cart than on a $300 cart.

Ecommerce merchandisers, growth marketers, and CRO (conversion-rate-optimization) teams use this figure to justify a bundling or upsell strategy before rolling it out storewide, and to A/B-test one offer against another using a single comparable number rather than raw revenue, which is skewed by traffic volume.

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