AOV Benchmarks by Industry Benchmarks
Average order value varies nearly 10x between DTC categories. Here's what AOV actually looks like across apparel, beauty, supplements, home goods, and food — with the thresholds each vertical typically uses.
AOV Benchmarks by Industry
Typical average order values across DTC verticals, where category medians range from roughly €35 in beauty to €180+ in home goods.
AOV benchmarks by industry describe what a healthy average order value looks like inside a specific DTC vertical — apparel, beauty, supplements, home goods, food and CPG — rather than across e-commerce as a whole. The spread between categories is wide: a beauty store with a €40 AOV and a furniture brand with a €220 AOV can both be performing well for their vertical.
Benchmarking against the wrong category is the most common mistake. It produces free-shipping thresholds that are too high, bundles that don't resonate, and quarterly targets that punish the merchandising team for category economics they can't change.
Before you compare your store to any number on this page, anchor on the fact that AOV is a function of category economics first and merchandising second. A supplement brand selling 60-day stacks has structurally higher AOV than a single-SKU lipstick brand — not because one is better optimised, but because the unit economics are different.
The numbers below reflect typical ranges for established DTC brands in the €1M-€15M revenue band on Shopify, WooCommerce, and Magento. They are medians and ranges, not targets. Use them to sense-check your AOV and to set free-shipping and bundle thresholds — not to set a goal that ignores what your customers actually buy.
Median AOV and typical ranges across DTC verticals (€, established brands)
| Vertical | Median AOV | Typical range | Items per order | Repeat rate |
|---|---|---|---|---|
| Apparel & accessories | €78 | €55 – €120 | 1.8 | 28% |
| Beauty & skincare | €42 | €28 – €65 | 1.6 | 42% |
| Supplements & wellness | €68 | €45 – €95 | 2.1 | 55% |
| Home goods & furniture | €185 | €95 – €320 | 1.4 | 18% |
| Food & CPG | €48 | €32 – €72 | 3.4 | 48% |
| Electronics & gadgets | €135 | €75 – €240 | 1.3 | 22% |
| Pet supplies | €55 | €38 – €82 | 2.2 | 51% |
Two patterns are worth flagging. First, categories with high repeat rates (beauty, food, supplements, pet) tend to have lower AOV — customers come back often, so each order doesn't need to be large. Second, categories with low repeat rates (home goods, electronics) need a higher AOV to make the unit economics work, since you may only see that customer once a year.
Median AOV by DTC vertical (€)
Why the spread is so wide
Unit price is the obvious driver — a sofa costs more than a serum — but it's not the only one. Three other factors matter as much: how many items customers naturally bundle (food orders average 3.4 items, electronics 1.3), how often they reorder, and how much shipping cost compresses or rewards basket-building.
In food and CPG, free-shipping thresholds force customers to add a second or third item — that's why items-per-order is so high. In home goods, single high-ticket items dominate and bundling has limited upside. In beauty, the math sits between: routines naturally pair (cleanser + serum), but the unit price is low enough that AOV stays modest.
Don't benchmark against the all-ecommerce average
The often-quoted "€80 e-commerce AOV" is a weighted mush across categories that look nothing like each other. If you run a beauty store and you're at €40, you're at the category median — not 50% below average. The cross-vertical average is the wrong reference point.
How to use these numbers
The most useful application is setting your free-shipping threshold. The rule of thumb that works across categories: set it 25-35% above your current median AOV, not your average AOV. A beauty store at €42 median should test a €55 threshold; a home goods brand at €185 median should test €240. Anchor it to where customers already are, then nudge.
The second application is bundle design. Categories with naturally high items-per-order (food, supplements, pet) respond to volume bundles and subscribe-and-save. Categories with low items-per-order (home, electronics) respond to accessory attach — protection plans, complementary pieces, installation. Designing the wrong bundle type for your vertical is a common reason AOV initiatives flatten out. For more on how to measure the impact, see the parent topic on AOV measurement and the wider benchmarks library.
Frequently asked questions
There is no universal good AOV — it's entirely category-dependent. A €40 AOV is healthy for beauty but concerning for home goods. Benchmark against your specific vertical's median, not the cross-industry average.
Unit price is structurally higher in home goods (single items can be €100-€500+), while beauty SKUs are typically €15-€40. Home goods customers also reorder rarely, so each transaction needs to carry more value. Beauty makes it up on repeat rate (~42% vs ~18%).
Look at the closest analogue by unit price and repeat behaviour. A jewellery brand behaves more like apparel than home goods. A coffee subscription behaves more like food than supplements. Match the economic profile, not the product label.
Not necessarily. Brands at the top of the range often serve a premium segment with higher CAC. The right target is the median plus 10-20%, achieved through better merchandising rather than chasing a higher-priced customer base.
Inversely, often. Low-AOV categories (beauty, food, pet) compensate with high repeat rates and strong LTV. High-AOV categories (home, electronics) need to extract value in the first order because the second order may be 12-24 months away — or never come.
Set it 25-35% above your current median AOV. For apparel that's around €100, for beauty around €55, for supplements around €90. Test the threshold quarterly — it should move up as your merchandising matures.
Marginally. Magento stores tend to skew higher because they're more common in B2B-leaning or higher-ticket categories. Shopify and WooCommerce AOVs within the same vertical are typically within 5-10% of each other.
Total revenue divided by total orders over the period, excluding refunds and taxes. For mixed-channel brands, separate marketplace and DTC orders — marketplace AOV is usually 20-30% lower and skews the average. See AOV measurement for the full methodology.
Quarterly, against your own trailing 90 days, and annually against industry medians. Industry medians shift slowly (5-10% per year), but your internal AOV can move sharply with pricing, bundling, or assortment changes.
Yes, consistently. Mobile AOV runs 15-25% below desktop across all the verticals in the table. The gap is widest in home goods (high consideration, screen-size matters) and narrowest in food and beauty (impulse and routine purchases).
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