Ecommerce Average Order Value: How to Increase AOV
How to increase ecommerce average order value: the AOV formula, items per order vs price per item, bundles, cross-sells, upsells, thresholds and guardrails.
Quick answer
Average order value is revenue divided by orders. Increase it through two drivers: more items per order (bundles, relevant cross-sells, a well-set free-delivery threshold, quantity breaks) and higher price per item (upsells to better or larger options, premium ranges, less blanket discounting). Always read AOV next to conversion rate and margin, because a higher AOV that costs conversions or profit isn't a win. Revenue per visitor, which is conversion rate × AOV, is the better primary metric for testing.
The AOV Driver Tree
The diagram above breaks AOV into items per order and price per item, with levers under each and guardrails at the bottom. Knowing which driver is weak tells you which levers to try.
Define AOV Consistently
Decide whether revenue includes shipping, tax, discounts and refunds, and exclude test and staff orders. Shopify, analytics tools and finance reports often define it differently, so pick one definition for decisions. See ecommerce KPI dashboard.
Levers for Items per Order
| Lever | Works when | Guardrail |
|---|---|---|
| Bundles and multipacks | Items are used together or bought repeatedly | Margin after discount |
| Cross-sells | Genuine complements exist | Conversion, returns |
| Free-delivery threshold | Typical orders sit just below a sensible level | Delivery cost vs margin |
| Quantity breaks | Consumables, B2B | Unit margin |
| Gift with purchase | Launches, samples | Cost of gift |
Levers for Price per Item
| Lever | Works when | Guardrail |
|---|---|---|
| Upsells to better models or sizes | Real differences exist | Returns |
| Premium ranges | Customers value quality or features | Positioning |
| Less blanket discounting | Discounts are habitual | Conversion |
| Merchandising mix | Higher-value products are under-featured | Stock |
Want to raise order value without losing conversions?
ZSpace analyses your order values and tests the levers that fit your products and margins.
Setting a Free-Delivery Threshold
Look at the distribution of order values, not just the average. A threshold a little above the most common order value gives many shoppers a realistic reason to add an item. Show progress in the cart, suggest relevant low-cost items to close the gap, and check that delivery costs saved exceed the margin given up. Test thresholds rather than guessing.
Read AOV With Other Metrics
A pop-up upsell might raise AOV while lowering conversion; a big discount might raise items per order while cutting margin. Use revenue per visitor as the primary metric in tests, with AOV, conversion, margin and returns alongside. See ecommerce conversion rate.
Segment AOV
AOV differs by new vs returning customers, channel, device and category. A fall in overall AOV can simply reflect more new customers or a cheaper traffic source. Segment before acting.
AOV Plan Checklist
- Consistent AOV definition
- Order value distribution reviewed
- Weak driver identified: items or price
- Levers chosen to fit products and margin
- Tests with revenue per visitor as primary metric
- Guardrails: conversion, margin, returns
Planning AOV experiments?
Talk to ZSpace about AOV testing, cart and product page UX and Shopify offer setup.
Conclusion
AOV rises when shoppers find more of what they need and choose options that suit them better, not when they're pushed. Use the driver tree, pick levers that fit your products, test on revenue per visitor and protect conversion and margin. For the levers in detail, see bundles, cross-selling and upselling.
For related guides, see loyalty program UX.
Common questions
Total revenue divided by the number of orders in a period. It shows how much customers spend per order on average.