Average Order Value Calculator
Calculate average order value, see how your number compares against DTC benchmarks, and learn the bundle, threshold, and upsell tactics that move AOV within a quarter.
Average Order Value (AOV)
Total revenue divided by total orders over a given window — the average amount a customer spends per transaction.
Average order value is the most directly-controllable input into customer lifetime value. While acquiring more customers takes paid budget and retaining them takes months of email and product work, AOV responds to changes you ship this week: a free-shipping threshold, a bundle on the product page, a one-click upsell at checkout.
For most online stores, AOV moves within a quarter when you focus on it. That makes it the lever Heads of E-commerce reach for when CAC is rising faster than they can fix it — every extra euro of AOV flows through margin and shortens payback on every channel at once.
AOV Calculator
Total revenue
$
Gross revenue for the period — usually a month or quarter.
Number of orders
Completed orders in the same period. Exclude cancellations and full refunds.
Expected monthly orders (for projection)
Used to project annualised revenue at the current AOV.
Average Order Value
$100.00
Projected annual revenue at current AOV
$3,000,000
Annual revenue with +10% AOV
$3,300,000
Use the same window for both inputs (e.g. last 30 days for both revenue and orders). For subscription stores, count each shipment as an order or AOV will look misleadingly high.
The calculation itself is trivial — the value is in how you slice it. AOV across all traffic hides more than it reveals; the numbers that actually drive decisions are AOV by channel, by device, by new-vs-returning, and by landing page.
The formula
AOV = Total Revenue / Number of Orders
Total Revenue
Gross revenue
Order subtotals before refunds and after discounts, for the chosen window. Most teams include shipping revenue; some exclude it for a cleaner product-AOV view.
Number of Orders
Completed orders
Distinct order count in the same window. Exclude cancellations and fully-refunded orders. Partial refunds stay in.
Your Shopify apparel store ran €250,000 in revenue across 2,500 completed orders in March.
Total Revenue: €250,000
Number of Orders: 2,500
→ AOV = €100
An AOV of €100 is on the healthy end for apparel. If your free-shipping threshold sits at €75, expect to see a noticeable cluster of orders just above it — that's the threshold doing its job.
Decide once whether shipping revenue and discounts are in or out, then keep it consistent. The absolute number matters less than the trend line — what kills decision-making is a definition that shifts every time someone pulls the report.
AOV benchmarks by vertical
Typical AOV ranges for online stores by vertical (Shopify / Woo / Magento, EU + US)
| Vertical | Low AOV | Median AOV | High AOV |
|---|---|---|---|
| Beauty & cosmetics | €35 | €55 | €90 |
| Apparel & fashion | €60 | €95 | €140 |
| Home & furniture | €90 | €160 | €280 |
| Consumer electronics | €120 | €220 | €450 |
| Food & beverage (DTC) | €30 | €50 | €80 |
| Health & supplements | €45 | €70 | €110 |
| Jewelry & accessories | €80 | €140 | €260 |
Where you fall inside the band matters more than crossing into the next band. A beauty brand at €90 AOV is doing something right — likely a routine-bundle or subscribe-and-save mechanic — that a €55 competitor isn't. That's where to focus, not on chasing apparel-sized baskets in a category that doesn't support them.
How to increase AOV
Four tactics do most of the work, and they compound. Stack them in this order — threshold first because it's a one-day change, then bundles, then post-purchase, then PDP cross-sell.
Typical AOV lift by tactic (DTC stores, first 90 days)
A free-shipping threshold set 20-30% above current AOV is the single highest-leverage change. Set it too low and you give away margin on orders that would have qualified anyway; set it too high and shoppers abandon. Use your AOV distribution — not the mean — to find the cluster you want to nudge upward.
Bundles work because they reframe the decision from price to value. A three-pack at €90 outperforms a single at €35 plus an "add another?" prompt, even when the unit economics are identical. The reader isn't comparing €90 to €35 — they're comparing €90 to €105.
AOV is an average — and averages lie
If 95% of your orders sit at €60 and 5% sit at €400, your mean AOV is €77 but the typical shopper experience is €60. Optimising for the mean pulls you toward the long tail; optimising for the median fixes the experience most customers actually have. Look at both, and segment by new-vs-returning before drawing any conclusions.
Frequently asked questions about AOV
It depends entirely on vertical. Beauty stores cluster around €50-60, apparel around €90-100, electronics €200+. Compare yourself to your category median, not to e-commerce as a whole.
Either approach is defensible — just pick one and stick with it. Including shipping gives a truer picture of revenue per order; excluding it isolates product-level AOV so threshold and bundle tests aren't confounded by shipping mix.
AOV is one of three LTV drivers, alongside purchase frequency and customer lifespan. Of the three, AOV is the fastest to move — a 10% AOV lift flows straight into LTV within a single purchase cycle, while frequency and lifespan take months of retention work to shift.
Not automatically. If you're hitting AOV via discount-driven bundles or free shipping you absorb, contribution margin can fall even as AOV rises. Always track AOV alongside gross margin per order, not on its own.
Weekly for trend monitoring, monthly for board reporting, and per-test for any experiment touching the cart or PDP. After a threshold change or new bundle launch, watch daily for the first two weeks.
AOV is revenue per order; ARPU is revenue per user (or customer) over a defined period. A customer placing three €50 orders has an AOV of €50 but an ARPU of €150. ARPU is closer to LTV; AOV is closer to checkout-page performance.
A common rule is 20-30% above current AOV. If your AOV is €80, try a €100 threshold. Test it — for some catalogs €110 works better because the next logical add-on item lands the basket cleanly above the line.
This is normal — mobile sessions skew toward single-item, lower-consideration purchases. The fix isn't to force mobile AOV up to desktop levels but to make sure mobile cart upsells, bundle prompts, and threshold messaging are actually rendering and usable on small screens.
Site-wide percentage discounts usually do — shoppers buy what they were already going to buy, just cheaper. Tiered discounts ("spend €100 save 10%, spend €150 save 15%") lift AOV because they reward larger baskets, not all baskets.
You test changes (a new bundle, a threshold shift, an upsell) and measure AOV as the outcome metric. Run the test long enough to capture the full purchase distribution — AOV is high-variance because of long-tail orders, so you need more traffic than a conversion-rate test to detect the same relative lift.
Get an AI expert review of your site
Paste your URL — Metricuno's AI runs the same heuristic checks a senior CRO consultant would, scoring your page and prioritising the fixes that'll move conversion fastest.