Average Order ValueBigger baskets, better margins

Why order value deserves its own plan#

Average order value, usually shortened to AOV, is revenue divided by the number of orders. It looks like a simple metric, but it carries a structural truth about ecommerce: many costs are incurred per parcel rather than per item. Picking, packing, shipping, payment processing and, in COD markets, the risk of RTO all cost roughly the same whether the box holds one item or three.

So a larger basket usually spreads those fixed per-order costs across more revenue. Raising AOV can turn an order that barely breaks even into one that makes money, without finding a single new customer. That makes it one of the cheapest growth levers available.

The cheapest revenue in ecommerce is the second item in a box that was already going to ship.

The caveat: revenue is not margin#

AOV can be raised in ways that destroy value. A ‘buy two, get one free’ offer lifts order value while cutting margin per item. A free-shipping threshold set too low gives away shipping on orders that would have paid for it. Always judge AOV tactics on contribution per order, not revenue per order.

Step 1: Understand your baskets#

Before choosing tactics, look at the data you already have. Which products are bought together? Which single-item orders are most common? What is the distribution of order values: is there a cluster just below a natural threshold? These patterns tell you where AOV can realistically grow.

• List the most common product pairs in multi-item orders.
• Find the best-selling items that are usually bought alone.
• Plot order values to see where most orders cluster.
• Compare AOV by channel, device and new versus returning customers.

Step 2: Choose the right tactics#

Different tactics suit different stores. The right choice depends on your range, your margins and how customers shop.

Choosing a tactic by margin and range#

Two characteristics of your store narrow the choice quickly: how broad the range of complementary products is, and how much margin the extra items carry. A store with a single hero product and thin margins has fewer options than a store with a broad, high-margin range, and should not copy its tactics.

Step 3: Design bundles that make sense#

The best bundles solve a complete problem. A skincare routine, a cooking set, a school kit. Customers value the convenience of not assembling it themselves, which means the bundle does not need a deep discount to be attractive.

Avoid bundling slow-moving stock with best-sellers simply to clear inventory. Customers notice, and it weakens trust in your recommendations. If clearance is the goal, be honest about it with a clearance section instead. See pricing and promotions.

Step 4: Place offers at the right moments#

AOV offers work at specific points in the journey. Too early, and they distract from the main decision. Too late, and they create friction in checkout. Each moment suits a different kind of offer.

Post-purchase offers deserve attention. Once payment is complete, the customer is no longer deciding whether to buy, so a relevant add-on to the same shipment can feel helpful rather than pushy. Check what your platform and payment set-up allow. See checkout optimisation.

Step 5: Use pack architecture#

For consumables, larger packs raise AOV naturally and suit loyal customers. Trial sizes lower the barrier for first-timers. A deliberate range of pack sizes lets each customer choose the commitment they are comfortable with.

Pack architecture also helps across channels. A larger pack exclusive to your website can raise AOV there while smaller packs serve quick commerce, where baskets are built around immediate needs. See quick commerce marketing.

Step 6: Personalise for returning customers#

Returning customers already trust you, so they are more open to larger baskets. Use their purchase history to suggest complementary items or to offer a refill bundle timed to their usage cycle. Email and WhatsApp are natural channels for these suggestions. See personalisation at scale.

AOV and COD#

In COD markets, higher-value orders carry higher RTO risk in absolute terms, because more stock and more money are at stake if a parcel is refused. Some brands limit COD above a certain order value or require partial prepayment. Weigh the AOV gain against the RTO risk; see reducing RTO.

Measuring the effect#

AOV rises and falls for many reasons: seasonality, product mix, promotions, channel mix. To know whether a tactic worked, test it where possible and look beyond AOV itself.

Published by Fabulous.Media, a network of specialist marketing agencies. Updated 9 October 2026. Platform features change often; check current official documentation before acting on platform-specific detail.