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Unit Economics

What is AOV?

Average Order Value

AOV is total revenue divided by total number of orders over a given period — the average amount a customer spends per transaction.

AOV is one of only three levers that move e-commerce revenue: traffic, conversion rate, and order value. It's consistently the most neglected of the three, and often the cheapest to move.

The reason it matters disproportionately is that raising AOV increases revenue without increasing acquisition cost. A 20% AOV lift on the same traffic and conversion rate produces the same revenue as a 20% traffic increase — but the traffic increase costs money every month and the AOV improvement doesn't.

It also directly raises your bid ceiling. Higher order value means higher contribution per order, which means you can pay more per customer and still be profitable — which in competitive auctions determines whether you can win at all.

Formula

AOV = Total Revenue ÷ Number of Orders

Track it alongside contribution per order. A bundle that raises AOV while lowering margin percentage can leave you worse off in absolute contribution.

Why AOV matters

AOV improvements compound with every other channel simultaneously and don't recur as a monthly cost. In most DTC audits it's the largest untapped lever we find, precisely because teams default to buying more traffic instead.

The tactics that reliably work

Volume-based bundles priced so the per-unit saving is visible; free-shipping thresholds set roughly 20–30% above current AOV; post-purchase one-click upsells on the confirmation page, which convert well because the payment friction is already cleared; and subscription options for consumables, which raise both order value and repeat rate at once.

Common mistakes

  • Raising AOV at the expense of margin

    A bundle discount that lifts AOV 15% while cutting contribution margin 20 points leaves you worse off. Always evaluate against contribution per order, not revenue per order.

  • Free-shipping thresholds set too high

    A threshold far above current AOV is ignored rather than pursued. Roughly 20–30% above your existing AOV is the range that actually changes basket behaviour.

  • Averaging across dissimilar segments

    New and returning customers usually have very different AOV. A blended figure hides which segment the opportunity is in.

  • Cross-sells that interrupt checkout

    Upsells placed before payment add friction at the highest-risk moment. Post-purchase placement captures the same revenue without endangering the original order.

Where we work on this

Applied, not theoretical

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