Average order value is revenue divided by orders. It is useful because a larger basket may spread some acquisition and fulfillment costs across more products. But a higher AOV is only valuable when the extra revenue leaves enough contribution after the extra costs.
Start with recent orders. Identify items commonly purchased together, questions that reveal an incomplete solution, and products customers buy shortly after their first order. These patterns suggest useful combinations more reliably than choosing an arbitrary upsell.
Build around a complete use
A bundle should make a job easier. A beginner embroidery set might combine a hoop, thread, fabric, and instructions. Explain each component, what the customer saves in effort, and whether they can buy the pieces individually.
Do not force shoppers into a larger purchase to access essential information or a product that was advertised separately. A useful recommendation feels like assistance: “These replacement filters fit the model you selected.”
Show one or two relevant additions near the decision rather than a long wall of unrelated products. Check that the recommendation fits the selected variant and is available to ship.
Calculate the incremental contribution
Consider a hypothetical $60 order with $38 in variable costs, leaving $22 before acquisition and fixed overhead. An accessory adds $15 revenue, $5 product cost, $1 additional handling, and $0.50 in incremental fees. It adds $8.50 contribution.
A different $15 accessory that adds $13 in costs would contribute only $2. The same AOV improvement can have very different economics. Include the effect of any bundle discount on items the customer would have bought anyway.
Set shipping thresholds from real baskets
A free-shipping threshold should reflect order distribution and margin, not simply a competitor's number. Inspect common basket totals and the likely add-on needed to reach the proposed threshold. Calculate shipping costs across the regions and weights you serve.
Suppose moving from a $60 basket to $75 produces $8.50 additional contribution before the shipping offer. If free shipping adds a $7 subsidy, only $1.50 of that improvement remains. The offer might still help conversion, but you need to measure the whole result.
State qualifying items, locations, and exclusions clearly. Avoid promising a benefit in the banner that disappears unexpectedly in checkout.
Consider quantity and replenishment carefully
Quantity offers can work for products people predictably use, share, or replenish. They can also bring a future order forward rather than create additional demand. Observe repeat-purchase timing and customer contribution over a longer window, especially for consumables.
For durable products, accessories and gift options may make more sense than a subscription. Match the offer to the customer's actual use.
Run a focused test
Choose one product pairing, one placement, and one primary measure. Track AOV alongside conversion, contribution per session, return rate, and support complaints. At low volume, customer observation can reveal whether the offer is understandable even before financial results are conclusive.
Start with your most common complementary purchase. Explain why it helps, show the additional price plainly, and make it easy to decline. A stronger order should feel like a better solution for the customer as well as better economics for the store.
Put it into practice
Related guides
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