What Is AOV? Average Order Value Explained

What is AOV and how do you calculate it?

The formula is simple. The details trip people up.

Pick a time window. Daily AOV is too noisy to act on. Weekly is useful for spotting trends. Monthly is the standard reporting period. Always compare month-over-month and year-over-year to separate real shifts from seasonality.

Use net revenue, not gross. Gross revenue (before returns and discounts) inflates AOV. Net revenue reflects actual money collected. If you use gross, a spike in returns makes your AOV look better than it is.

Segment before you benchmark. A single $10,000 wholesale order skews a DTC brand’s AOV for the entire month. If your business mixes B2B and B2C, track them separately. Do not remove outliers just because they are large. Remove them only if they represent a fundamentally different buying pattern.

What is a good AOV? Benchmarks by industry (2026)

Global ecommerce AOV is approximately $150 as of late 2025, up steadily year-over-year¹. But cross-industry averages are not useful benchmarks. What matters is your vertical.

Industry benchmarks from late 2025²³:

Desktop AOV runs 20-40% higher than mobile across every industry¹. If most of your traffic is mobile (and for most DTC brands it is), comparing yourself to desktop-heavy benchmarks makes your AOV look artificially low.

DTC brands specifically tend to run below these averages. Triple Whale reported a median AOV of $74.12 across paid advertising channels in 2025, up 2.68% from 2024⁴. That is across their entire portfolio of Shopify brands, so it includes low-AOV consumables alongside higher-ticket goods.

The ecommerce revenue formula ties these together: Revenue = Traffic x Conversion Rate x AOV⁵. You can grow revenue by increasing any of the three, but AOV is typically the cheapest lever because it requires no incremental traffic spend.

Five ways to increase AOV in ecommerce

1. Product bundles

Bundle complementary products at a 10-15% discount off individual prices. The bundle must feel like a natural pairing. Cleanser + moisturizer + SPF works. Phone case + socks does not.

Keep the discount small enough to protect margin. The goal is to add an item the customer would not have bought separately, not to discount what they were already going to buy.

2. Free shipping thresholds

Set your threshold 20-30% above current AOV. If AOV is $80, offer free shipping at $100. Customers add items to clear the threshold rather than pay for shipping.

This breaks when the threshold feels unreachable. Setting it at 2x AOV frustrates people instead of motivating them.

3. Tiered pricing and volume discounts

“Buy 2, get 10% off. Buy 3, get 15% off.” Works especially well for consumables and replenishable products. The customer was going to reorder next month anyway. You are pulling that future order into the current transaction, improving cash flow and locking in the revenue.

4. Post-purchase upsells

Show a one-click upsell for a complementary product after checkout. The customer already committed. Adding one more item requires no re-entry of payment details. Post-purchase upsells convert at 3-8% on average. That is pure incremental revenue at zero acquisition cost.

5. Loyalty tier incentives

“Spend $50 more this month to unlock Gold status” is more effective than a generic 10% coupon. Customers who are close to the next tier stretch their order to qualify. The reward has to be genuinely valuable: better shipping, early access, or exclusive products.

What does not work

Sitewide discounts, popup coupons, and “free gift with purchase” offers. They lift conversion rate but drag AOV down. A 20% sitewide sale might increase orders by 30% but decrease AOV by 25%. Once you factor in margin compression, the math rarely works out.

AOV improvement takes time

Do not expect results in a week. Bundle testing needs at least 2-4 weeks of data to show a clear pattern. Free shipping thresholds affect behavior immediately but take a full month to measure margin impact. Post-purchase upsells need enough traffic through the flow to reach statistical significance, which typically means 1,000+ orders through the new flow.

Track AOV alongside conversion rate and gross margin. A 15% AOV increase that causes a 10% drop in conversion rate and a 5% drop in margin is not progress. The goal is to grow AOV without creating friction or eroding profitability.

Seasonal patterns also complicate measurement. Q4 AOV is almost always higher due to gift buying and holiday promotions. Compare year-over-year for the same month, not just month-over-month, or you will mistake seasonal lift for a real improvement.

AOV vs other ecommerce metrics

AOV gets confused with its neighbors. Key distinctions:

AOV vs Revenue per Visitor (RPV). RPV = Total revenue / Unique visitors. RPV includes conversion rate. AOV does not. If RPV rises but AOV is flat, more visitors are buying. If AOV rises but RPV is flat, fewer visitors are buying but each spends more. Track both.

AOV vs Customer Lifetime Value (CLV). CLV = AOV x Purchase frequency x Customer lifespan. AOV is one transaction. CLV is the total relationship. Increasing AOV by $10 compounds: if a customer places 8 orders over their lifetime, that $10 lift becomes $80 in additional CLV.

AOV vs Basket Size. Basket size counts items per order. AOV counts dollars. A bundle play can lift basket size without moving AOV if the bundle is heavily discounted. An upsell to a premium variant lifts AOV without changing basket size. Track both to understand which lever is actually moving.

AOV vs Gross Profit per Order. This is the one most founders miss. An AOV of $120 means nothing if your COGS is $100 and shipping costs $15. Gross profit per order strips out product costs and fulfillment. Some products have high AOV but thin margins. Others have low AOV but 80% gross margin. When deciding which products to promote or bundle, gross profit per order matters more than AOV alone.

For a full breakdown of which ecommerce metrics matter most and when, see our ecommerce analytics tools guide.

How to track what is AOV across your store

Shopify, WooCommerce, and Stripe all show a basic AOV number. The problem is not finding it. The problem is segmenting it: AOV by channel, by product category, by new vs returning customer, by device. That is where built-in analytics fall short and you end up exporting CSVs or writing SQL.

With Noomaro, you ask in plain English:

What was my AOV last month vs the month before, split by acquisition channel?

You get a chart and the raw numbers. Follow up with “break that down by product category” and you have your next optimization target without opening a spreadsheet.

For the full landscape of tools that handle this, see our ecommerce analytics tools guide. For how AOV fits into the broader metrics picture, see ecommerce performance metrics.

When evaluating your AOV against competitors, remember that publicly reported benchmarks usually reflect gross AOV before returns. If your return rate is 20% (common in fashion), your effective AOV is 20% lower than what the dashboard shows. Adjust for returns before making strategic decisions about ad spend, bundling, or pricing. A $120 gross AOV with a 25% return rate is really a $90 net AOV. That changes which acquisition channels are profitable.

FAQ

What is a good AOV for ecommerce?

It depends on your industry. Fashion and apparel brands typically see $80-$140. Beauty runs $60-$90. Electronics $150-$250. Compare against your own vertical and your own historical trend, not a cross-industry average.

How often should I track AOV?

Weekly for trend-spotting, monthly for reporting and benchmarking. Daily AOV fluctuates too much to act on. Always compare to the same period last year to account for seasonality.

Does AOV include shipping and taxes?

It depends on your definition. Most platforms calculate AOV on the product subtotal (before shipping and taxes). Be consistent. If you include shipping in one period, include it in every period, or your trend data is meaningless.

What is the AOV formula?

AOV = Total revenue / Total number of orders. Use net revenue (after returns and discounts) for accuracy.

Sources

1. Ringly: 45 average order value statistics 2026
2. ClickPost: average order value by industry 2026
3. Speed Commerce: ecommerce average order value benchmarks
4. Triple Whale: ecommerce benchmarks 2025
5. Ringly: ecommerce revenue formula