Average order value (AOV) is the average amount a customer spends each time they place an order. The formula is simple: total revenue divided by total number of orders. If your store generated $48,000 from 1,200 orders, your AOV is $40.
Why average order value matters
AOV is one of the fastest ways to improve revenue without increasing traffic. If you can raise how much each customer buys per checkout session, you improve return on ad spend, absorb higher acquisition costs, and make each landing page visit more valuable.
For ecommerce teams and CRO specialists, AOV also changes how you evaluate funnels. A campaign with a lower conversion rate can still outperform if it drives larger carts. That is why AOV should be reviewed alongside conversion rate, cost per acquisition, and revenue per visitor.
How to calculate and benchmark AOV
Use this formula: AOV = Revenue / Orders. Measure it by channel, device, landing page, and customer segment. Blended AOV can hide opportunities. Paid social traffic may convert lower but buy bundles. Branded search may convert higher but produce smaller single-item orders.
A useful benchmark is not a generic industry average. It is your current baseline by traffic source and offer type. For example, compare:
- First-time visitor AOV vs returning customer AOV
- Product page traffic vs dedicated offer landing page traffic
- Standard checkout vs upsell-enabled funnel checkout
How to increase average order value
Improve the offer structure
Use bundles, volume discounts, subscribe-and-save options, and threshold-based incentives such as free shipping over a set amount. The goal is to make the next spending step feel logical, not forced.
Lift cart size inside the funnel
Add relevant order bumps, post-purchase upsells, and cross-sells tied to the original intent. Keep add-ons tightly matched to the product being purchased. Random recommendations usually hurt CTR and trust.
Test forms and checkout friction
AOV gains can disappear if checkout becomes harder. Test shorter forms, clearer shipping messaging, and stronger value reinforcement near the payment step. Watch both completion rate and revenue per session.
Practical example
An apparel brand has a $62 AOV. Instead of discounting the whole store, it builds a landing page around a โbuy 2, get 15% offโ bundle and adds a matching accessory as an order bump at checkout. After an A/B test, conversion rate drops slightly from 3.4% to 3.2%, but AOV rises to $78. Because revenue per visitor increases, the new variant wins despite the lower raw conversion rate.
That is the key use of AOV in optimization: judge page and funnel performance by total commercial impact, not just by how many people click through or complete a form.