What is Average Order Size?

Understanding Average Order Size

Average order size responds to cross‑sells, bundles, and clarity around complementary items. Catalog templates and product‑level video can display pairings that encourage multi‑item buys. Clear price presentation and transparent promos nudge shoppers to add one more item. PDP recommendations that match the ad’s promise reduce friction and increase attachment. Inventory accuracy and fast page speed protect intent at checkout.

Treat average order size as a system outcome rather than a single tactic. Use creative to surface sets and add‑ons naturally, not as clutter. Keep CTAs and variant selectors obvious so adding items feels effortless. Test messaging like “complete the set” or “frequently bought together” for lift. Measure order size by product set and traffic source to see where strategies resonate.

Why Average Order Size matters

Average order size matters because larger baskets improve unit economics and shipping efficiency. It compounds revenue without relying solely on price increases. It also reveals where merchandising and creative pairings are working so you can scale them.

• Profit: Spreads fulfillment cost over more items.
• Growth: Improves AOV and POAS without more traffic.
• Insight: Reveals where bundles or add‑ons resonate.

How to Calculate Average Order Size

• Formula: Average Order Size = Total Items Sold ÷ Number of Orders
• Track alongside AOV to understand price vs. quantity drivers.

Key Takeaways

• Average order size is the average number of items per order, indicating basket building and merchandising effectiveness.
• Increase it through bundling, upsells, related product recommendations, and clear cross-sell messaging.
• Track by segment and channel to identify where customers naturally buy more.
• Use catalog ads to showcase related products and encourage larger baskets.