Before you can know whether your AOV is good, you need a baseline. The problem is that "Shopify store" spans everything from $8 protein bars to $1,200 standing desks — a single average means nothing. Here are category-specific benchmarks and what actually explains the variance within each.
Shopify AOV benchmarks by category (2026)
| Category | Low range | High range | Median |
|---|---|---|---|
| Clothing and accessories | $75 | $120 | $88 |
| Skincare and beauty | $55 | $90 | $70 |
| Food and beverage | $45 | $80 | $58 |
| Home and garden | $65 | $140 | $95 |
| Health and fitness | $50 | $95 | $68 |
| Electronics accessories | $50 | $95 | $65 |
| Pet supplies | $50 | $85 | $63 |
| Outdoor and sporting goods | $80 | $160 | $108 |
What drives variance within categories
Within any category, there's a 40–70% difference between stores at the low end and high end. That variance comes from four factors:
1. Product price points
This is obvious but worth stating: stores selling $25 items have lower AOVs than stores selling $80 items. If your AOV feels low, the first question is whether your product prices support a higher AOV or whether you need to focus on multi-item orders.
2. Multi-item order rate
Stores where shoppers regularly buy 2+ items in a single order have dramatically higher AOVs. A clothing store where 40% of orders include both a top and a bottom will have an AOV well above category average. Cross-sell widgets directly influence this rate.
3. Bundle availability
Stores that offer pre-built bundles (and make them easy to find) see higher AOVs than stores that only sell individual items. Skincare "routine kits" and kitchen "starter sets" are examples of bundles that lift AOV consistently.
4. Free shipping threshold
Stores with free shipping thresholds placed 10–20% above their current AOV tend to have higher AOVs than stores with flat free shipping or no free shipping at all. Shoppers add items to hit the threshold.
How to know if your AOV is above or below benchmark
Find your AOV in Shopify analytics (Analytics → Overview → Average order value). Compare it to the median for your category above. If you're below the median:
- Check your multi-item order rate: what percentage of orders have 2+ items?
- Check if you have cross-sell recommendations on your product pages and cart
- Check your free shipping threshold relative to your AOV
If your AOV is above the high end of your category range, you may already be capturing most of the available wallet share per transaction. At that point, the better lever is increasing order frequency rather than AOV.
AOV goals by store size
- Under 50 orders/month: Target 10–15% AOV improvement over 90 days. Small changes have outsized percentage impact at this stage.
- 50–200 orders/month: Target 8–12% AOV improvement. You have enough volume to measure changes but aren't yet at scale where marginal improvements plateau.
- 200+ orders/month: Target 5–8% AOV improvement. Meaningful percentage improvements are harder to come by; focus on maintaining what works and testing new approaches quarterly.
Related reading
- Shopify Conversion Rate vs. Average Order Value: Which Should You Optimize First?
- Does a Free Shipping Threshold Actually Increase Shopify AOV? (With Real Data)
- What a 10-50% AOV Lift Looks Like in Real Shopify Revenue
- What Is Average Order Value on Shopify? (And Why It Matters More Than Traffic)
- How to Increase Average Order Value on Shopify (5 Methods That Actually Work)
FAQ
Does AOV vary by traffic source?
Yes, significantly. Email traffic typically drives the highest AOV (loyal customers buying more per order), followed by direct and organic search. Paid social traffic often drives the lowest AOV (impulse buyers with smaller first-order values). Track AOV by source in Shopify analytics to see the pattern in your store.
Should I compare my AOV to my competitors?
Category benchmarks are more useful than individual competitor comparisons. You don't know what's in a competitor's cart — whether they're inflating AOV with forced bundles, higher price points, or aggressive upsell popups. Your own trend over time is the most actionable data.
Is there a point of diminishing returns on AOV optimization?
Yes. Shoppers have a mental budget per transaction. Pushing AOV too aggressively (too many recommendations, forced bundles at full price) can reduce conversion rate, which nets out negatively. The goal is to make multi-item orders easy and natural — not to extract maximum wallet share through friction.