Average Order Value Calculator
Ecommerce basket size metric.
Calculate average order value (AOV) by dividing total revenue by number of orders — a widely used ecommerce performance metric.
What this tool does
Average Order Value (AOV) is total revenue divided by the number of orders placed — a core metric in ecommerce performance tracking. This calculator takes your total revenue and order count to compute your current AOV, then models what your total revenue would become if that average value per order increased by 10, 20, or 30 percent while order volume stayed the same. The result shows revenue projections under each uplift scenario, illustrating the financial impact of raising what each customer spends per transaction. AOV changes are driven entirely by the two inputs: your revenue figure and order count. This tool is useful for modelling growth paths without assuming changes in traffic or conversion rates. The projections are illustrative estimates only and do not account for operational costs, seasonality, or changes in actual customer behaviour.
Quick answer: with the default values, the result is $75.00 (Average Order Value). Adjust the values below for your own figures.
Enter Values
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Formula Used
Disclaimer
Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.
Average Order Value (AOV) divides total revenue by total orders over a period. It is a straightforward way to track basket size and whether pricing or merchandising changes are moving the number. A 10% AOV lift on the same order count raises revenue by 10% without additional acquisition spend, which is one reason AOV is a common focus in ecommerce growth analysis.
150,000 revenue over 2,000 orders = 75 AOV, a mid-ticket figure for many stores. Lifting AOV to 82.50 (a 10% increase) on the same 2,000 orders adds 15,000 in revenue without additional acquisition spend. For some stores, moving AOV takes less effort than shifting conversion rate or traffic, though which lever is easiest varies.
Common AOV levers include bundle offers (buy 2, get 10% off), checkout upsells (gift wrap, warranty, expedited shipping), free-shipping thresholds (spend X for free shipping), and premium product tiers. Reported per-lever effects and combined results vary widely by store, category, and execution, so any single percentage is better read as indicative rather than a target.
Run it with sensible defaults
Using total revenue of 150,000, total orders of 2,000, the calculation works out to 75.00. The defaults are meant as a starting point, not a recommendation.
The levers in this calculation
AOV is a simple ratio of two inputs. A 10% change in Total Revenue moves AOV by 10%; a 10% change in Total Orders moves it by a similar amount in the opposite direction (about +11% or -9%). Neither input dominates; they are close to symmetric.
How the math works
AOV = total revenue ÷ total orders.
Reading the result
AOV is a ratio, so it moves with either input: more revenue on the same orders raises it, more orders on the same revenue lowers it. Comparing the figure across periods or segments usually says more than the single number alone.
£150,000 ÷ 2,000 orders = $75.00.
Inputs
| Total Revenue | $150,000.00 |
|---|---|
| Total Orders | 2,000 |
| Revenue at 10% Higher AOV | $165,000.00 |
| Extra Revenue at 10% Higher AOV | $15,000.00 |
This example uses typical values for illustration. Adjust the inputs above to match a specific situation and see how the result changes.
Sources & Methodology
Methodology
The calculator computes average order value by dividing total revenue by the total number of orders placed. This metric treats each order as equally weighted, regardless of product mix or order timing. The model assumes revenue figures are recorded consistently and that each transaction counted represents one complete order. The calculation does not account for refunds, cancellations, discounts applied at checkout, payment processing fees, or returns that may reduce actual net revenue. It also does not adjust for seasonal variation, customer segments, or product categories that might show differing average values. The result reflects a simple arithmetic mean and should be interpreted as a baseline performance indicator rather than a predictor of future transaction values.
Frequently Asked Questions
How do I increase AOV?
AOV vs conversion rate?
Is higher AOV always better?
How often should I measure?
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