Average Order Value Benchmarks by Industry (2026)
Average Order Value Benchmarks by Industry (2026)
Across Shopify stores, typical average order value sits around $112, but the spread by industry is enormous: food and beverage clusters near $58, fashion near $105, home decor near $215, and jewelry near $240. Comparing your AOV to a blended "ecommerce average" is close to useless. Compare it to your vertical.
Below is the benchmark table, then the specific levers that move AOV in each category. The ranges are deliberately wide rather than falsely precise: a $58 food-and-beverage benchmark covers everything from a single-SKU hot sauce brand to a coffee subscription with a six-bag starter pack.
What counts as a good average order value?
AOV is total revenue divided by order count. A "good" number is one that clears your blended cost per acquisition with enough margin left to fund the next order. A supplement brand at $72 AOV with 62% gross margin is healthier than a furniture store at $220 AOV with 28% margin and $40 freight. Treat every number in the table as a positioning reference, not a target.
The second thing worth saying out loud: AOV and conversion rate move in opposite directions across verticals. High-consideration categories (jewelry, furniture, fitness equipment) convert at roughly 1% but carry big baskets. Consumables convert at 3%+ with small ones. Our average Shopify conversion rate breakdown covers the other half of that equation.
Average order value benchmarks by industry
These are the ranges we publish on our Shopify benchmarks pages, aggregated from public studies (Baymard, IRP Commerce, Littledata, Dynamic Yield, Klaviyo, Shopify's commerce reports) and normalized for Shopify stores. "Typical" is the midpoint most stores land near; low and high bound the middle of the market.
| Industry | Typical AOV | Range (low–high) | Typical conversion rate | What drives the number |
|---|---|---|---|---|
| Food & Beverage | $58 | $40–$85 | 3.2% | Low unit price, high repeat rate, bundles and multipacks |
| Beauty & Cosmetics | $62 | $45–$88 | 2.8% | Routine-building, sampling, replenishment |
| Health & Wellness (supplements) | $72 | $50–$105 | 2.7% | Subscription stacking, 2-month and 3-month supply tiers |
| Fashion & Apparel | $105 | $75–$145 | 2.3% | Multi-item baskets, outfit completion, size uncertainty |
| Sports & Outdoors | $110 | $75–$165 | 1.8% | Gear ecosystems, seasonal kit-out purchases |
| Electronics & Gadgets | $190 | $130–$290 | 1.6% | High unit price, accessories, warranty attach |
| Home Decor & Furniture | $215 | $140–$360 | 1.4% | Large single items, freight economics, room-set buying |
| Jewelry & Accessories | $240 | $150–$420 | 1.1% | Gifting occasions, one-item orders at high price points |
Two honest caveats. These skew toward North American and UK stores, so a store selling primarily into India or Southeast Asia will run lower in dollar terms across every row. And "fashion" is really a four-way split: fast fashion sits near the $75 floor, contemporary womenswear near $105, outerwear and denim above $145. Pick the sub-segment you actually compete in.
Why does AOV vary so much between verticals?
Three structural things, none of which you can merchandise your way out of entirely.
Unit price sets the floor. A candle is $28 and a sofa is $1,400. No amount of cross-selling closes that gap, which is why home decor and jewelry top the table without being better-run businesses.
Basket depth is a category habit. Apparel shoppers buy roughly 2.4 items per order; jewelry shoppers buy 1.1. Fashion earns its AOV through quantity, jewelry through price, so the levers are completely different: outfit logic and returns-proof sizing versus confidence and financing.
Purchase frequency inverts the incentive. Food, beauty, and supplements have short repeat cycles, so a low AOV is fine if lifetime value is strong. Furniture, which someone buys once every four years, has to earn everything on order one.
How do I find my own AOV in Shopify?
Don't calculate it by hand, and don't take the number off your payment processor dashboard, which includes refunds inconsistently.
- In your Shopify admin, go to Analytics → Reports.
- Search for "Average order value over time" and open it.
- Set the date range to the last 90 days (anything shorter gets distorted by a single big order or a promo week).
- Change the grouping to Month so you can see the trend, not the noise.
- Click Edit columns and add Orders alongside AOV so you can sanity-check the denominator.
- Export to CSV to segment. The report won't split by collection, so pull Sales by product for the same window and group it yourself.
One extra step worth ten minutes: filter the same report by first-time vs returning customers. Most stores find returning-customer AOV runs 15–30% higher. If your gap is bigger than 30%, your acquisition offer is probably too discount-heavy.
What is a typical average order value for home decor e-commerce?
Typical home decor AOV is around $215, with most stores between $140 and $360. Furniture-heavy catalogs run well above that; wall art, candles, and small textiles pull the whole store down toward the low end even when a few sofas sell.
Home decor has an unusual shape: the median order is much lower than the mean, because a handful of large-item orders drag the average up. If your $215 average is really 40 orders at $85 plus 3 orders at $2,000, you don't have a $215 business. Check your median in that CSV export.
Room-set merchandising. Instead of showing "customers also bought," show the whole styled room and let people add the set. A rug-and-cushion pairing at $310 converts better than the same two products shown as unrelated recommendations, because the shopper is buying a look, not a SKU.
Free-shipping thresholds set above your median, not your mean. Home decor freight is expensive and shoppers know it. A threshold at $250 when your median is $85 just reads as unreachable. Set it 20–30% above the median and it becomes a real prompt.
Sample and swatch programs. A $5 fabric or paint swatch that credits back against the order filters out browsers and commits the shopper to a specific product before the big purchase. One home decor store we worked with moved AOV from $168 to $212 in a quarter, mostly from swatches plus a two-item "complete the room" module on collection pages.
Do I need to meet order minimums for home decor products?
As a shopper, almost never. Very few direct-to-consumer home decor stores enforce a hard minimum order value; what looks like a minimum is usually a free-shipping threshold you can choose to ignore by paying shipping. Trade and wholesale accounts are the exception, where minimums of $500–$2,500 are common because the pricing assumes volume.
As a merchant, I'd avoid hard minimums on a DTC storefront. They kill first orders from customers who'd have come back for the bigger purchase. Use a threshold incentive instead: Settings → Shipping and delivery → Manage rates, pick your shipping zone, then Add rate → Set up your own rates, name it "Free shipping over $X", and add a minimum order price condition. Shopify shows the qualifying rate only when the cart clears it, and most cart apps will surface a progress bar off the same rule.
How can I boost average order value for my fashion apparel ecommerce site?
Fashion AOV is a units problem, not a price problem. Typical is $105 with 2.3–2.5 items per order, so the fastest gains come from adding a third item rather than pushing a more expensive first one.
Outfit bundles beat generic recommendations. "Complete the look" with three real, in-stock, size-matched pieces outperforms an algorithmic "you may also like" carousel by a wide margin. The detail people miss: the bundle must respect the size the shopper already selected. Recommending a small when they've chosen an XL is worse than recommending nothing.
Make sizing certainty the lever. Apparel shoppers buy one item when they're unsure and three when they're confident. Size guides with real garment measurements, model height and worn-size captions, and fit reviews ("runs small") lift units per order more than any discount ladder, and they cut returns at the same time.
Tiered thresholds, not flat discounts. "Spend $150, get free shipping. Spend $250, get 15% off" gives the shopper a reason to add a second and third item. A flat 15% sitewide just lowers your AOV. If you want the full mechanics of thresholds, bundles, and post-purchase offers, our guide to increasing average order value on Shopify goes deeper on implementation.
How do I boost average order value for my sporting goods retail site?
Sporting goods sits at $110 typical, $75–$165 range, and the category has a structural advantage almost nobody uses properly: nearly every product implies other products.
Sell the ecosystem, not the item. Someone buying trail running shoes needs socks, a hydration vest, and eventually insoles. Someone buying a tennis racket needs grips, dampeners, and a string job. Build these as explicit "kit" bundles rather than hoping the recommendation engine figures it out. Kits priced 8–12% below à la carte convert better than 25%-off single items and protect margin.
Merchandise by activity, not by product type. A collection called "Rackets" produces single-item orders. A collection called "Beginner Tennis Setup" produces four-item ones. This is a collection-page structure decision, and it's usually the single biggest win available. If your collections are organized purely by SKU taxonomy, run them through our collection page score tool to see how they read to both shoppers and search engines.
Seasonal kit-out windows. Sporting goods demand comes in bursts: ski season, race season, back-to-school. In those windows, shoppers are actively assembling full setups and will accept a much larger basket than they would in April. Push kit bundles hard for six weeks and let AOV settle back the rest of the year rather than fighting the seasonality.
Compare your numbers before you change anything. Our Shopify benchmarks library publishes AOV, conversion rate, cart abandonment, bounce rate, and returning-customer rate for 20 industries as honest low/typical/high ranges. Find your vertical, note the two metrics where you're furthest below typical, and fix those first.
How to increase average order value for a supplement or wellness brand
Health and wellness runs $72 typical, $50–$105 range — lower than most merchants expect, because single-bottle trial orders dominate the mix. The category also has the third-highest returning-customer rate in our data (roughly 35%), which is the thing to actually build around.
Supply tiers do the heavy lifting. Offer 1-month, 2-month, and 3-month supply as distinct options on the same product page, with per-serving price shown for each. A 3-month tier at a 15% per-unit discount routinely becomes 30–40% of orders and more than doubles AOV on those orders. It beats bundling different products, because supplement buyers are cautious about stacking unfamiliar formulas.
Subscribe-and-save as the default selection, not a checkbox. Pre-selecting the subscription option (clearly labelled, easy to switch off) shifts a large share of first orders into recurring. Be genuinely easy about cancellation, or you'll trade AOV for chargebacks.
Regimen bundles for adjacent, understood products. Magnesium plus a sleep formula. Protein plus creatine. Pair things the customer already believes belong together. Cross-selling into an unfamiliar SKU at the cart is where most supplement upsells fail, so read up on when to cross-sell versus upsell before building the flows.
One trade-off to accept: aggressive AOV tactics in supplements suppress trial. If your paid acquisition depends on a low-friction first purchase, protect the $39 entry point and do the AOV work in post-purchase and email flows instead.
Beauty, electronics, jewelry, and food & beverage: the short version
Beauty ($62 typical) wins on routine completion and sampling. A cleanser-toner-moisturizer set outperforms a discount on any single item, and free deluxe samples at a threshold are the cheapest AOV lever in the category because perceived value far exceeds unit cost.
Electronics ($190 typical) is an accessory-attach game. Cables, cases, extended warranties, and setup services carry the margin that the hardware doesn't. Attach rate is the metric to watch, not AOV directly.
Jewelry ($240 typical) almost never sells two items in an order, so the levers are price-point movement rather than basket depth: financing, gift packaging, engraving, and confident merchandising of the mid-tier over the entry tier. Bundling jewelry usually reads as cheapening it.
Food & beverage ($58 typical) should optimize for frequency, not order size. Multipacks and variety packs are the exception worth building. This is the one category where I'd ignore the AOV benchmark and watch 90-day repeat rate instead.
FAQ
What is a good average order value for an ecommerce store?
There's no universal good number, because AOV is driven mainly by category unit price. Across Shopify stores the typical figure is around $112, but food and beverage sits near $58 and jewelry near $240. A good AOV is one that covers your blended customer acquisition cost with enough gross margin left to make the order profitable on its own or, for repeat-purchase categories, within two orders.
What is the average order value for home decor ecommerce?
Typical home decor and furniture AOV is around $215, with most stores falling between $140 and $360. The average is skewed upward by occasional large-furniture orders, so check your median order value too. Stores selling mainly small decor items (candles, wall art, textiles) usually sit closer to the $140 floor, while furniture-led catalogs push well past $360.
Do home decor stores require minimum order amounts?
Direct-to-consumer home decor stores almost never enforce a hard minimum order value. What shoppers usually encounter is a free-shipping threshold, which is optional: you can complete the order below it by paying shipping. Hard minimums are common in trade and wholesale programs, typically $500 to $2,500, because those price lists assume volume. For a retail storefront, threshold incentives outperform mandatory minimums.
How do I increase average order value without discounting?
Raise units per order rather than cutting price. Bundle complementary products that the shopper already believes belong together, set free-shipping thresholds 20–30% above your median order value, merchandise higher-value items first in collections, and add post-purchase one-click offers that don't interrupt the original checkout. Reducing purchase uncertainty (sizing, specs, reviews) also lifts basket size without touching margin.
Why is my AOV lower than the industry benchmark?
Usually one of four reasons: your catalog skews to entry-price SKUs, your collections surface cheapest-first, you have no threshold or bundle mechanic in place, or your acquisition channel brings discount-motivated buyers. If your median order sits close to your cheapest product's price, it's a merchandising problem, not a demand problem.
Should I optimize for AOV or conversion rate first?
Conversion rate first if you're below your vertical's typical range, AOV first if you're already at or above it. Raising conversion rate compounds against all your existing traffic, while AOV tactics like thresholds and bundles can slightly suppress conversion. In high-consideration categories with 1% conversion rates, though, a few points of AOV is often the faster and more reliable win.
Most AOV problems start on the collection page: shoppers land on a taxonomy grid, see the cheapest item first, buy one thing, and leave. Rank Collections fixes the upstream half of that, optimizing your Shopify collection pages so they rank for the intent-rich queries that bring bigger baskets and giving you control over how products are ordered and described. Start by pulling your AOV from Shopify Analytics, compare it against your row in the benchmarks library, then pick the one vertical-specific lever above you haven't tried.
