Average Order Value: How to Calculate and 8 Ways to Raise It

Brazil's e-commerce market brought in R$ 208.4 billion in the first half of 2026, up 16.9% year over year. Good news? Depends on where you sit. Over the same period, the average order value dropped 13.3% to R$ 275.50, according to a study by Confi and E-commerce Brasil. People are buying more often and spending less per purchase.

That changes the math for anyone who sells. When each order is worth less, acquisition costs weigh more, shipping eats a bigger slice of margin, and revenue growth turns into a treadmill: you sell more to earn roughly the same. Which is why average order value has stopped being a vanity metric and become a management lever.

Average order value (AOV) is the average amount spent per sale in a given period. To calculate it, divide total revenue by the number of orders in that same period: AOV = revenue ÷ number of orders. A store that made $90,000 across 300 orders in a month has an AOV of $300.

What average order value actually measures

AOV answers a simple question: how much is each sale worth, on average? It's one of the three levers behind any revenue figure. Revenue is always the product of how many customers buy, how much they spend per purchase, and how often they come back. If you can't (or don't want to) grow order volume or frequency, order value is the lever you have left, and it's usually the cheapest of the three.

It makes sense: selling an extra $50 to someone already at checkout requires no media budget, no new lead, no convincing a stranger. Winning a new customer costs your full CAC all over again.

How to calculate average order value in practice

The base formula is a single division:

Two rules prevent 90% of the mistakes. First: numerator and denominator must come from the same period and the same slice. September revenue over September orders, channel revenue over channel orders. Second: decide whether you're measuring per order or per customer. They're different metrics, and both are useful.

Per order or per customer?

Per order, you divide revenue by the number of sales. Per customer, you divide by unique buyers. If one customer placed three $100 orders in a month, AOV is $100; average spend per customer is $300. The first guides checkout tactics (bundles, shipping thresholds, upsells). The second connects to LTV and retention.

Slice	Revenue	Divisor	Average value
Whole store (month)	$90,000	300 orders	$300
Channel: paid traffic	$36,000	150 orders	$240
Channel: repeat buyers (CRM)	$27,000	60 orders	$450
Per unique customer	$90,000	220 customers	$409

Look closely at the example: the overall $300 average hides the fact that repeat buyers spend nearly double what paid-traffic customers do. Averages without segmentation are where analysis goes to die. A store where half the orders are $80 and half are $520 has the same AOV as one where everyone spends $300, and they are completely different businesses.

What counts as a good average order value?

There's no magic number. Brazil's e-commerce benchmark (R$ 275.50 in the first half of 2026) works as a market thermometer, not a target: a supplements store and a custom furniture shop live on different planets. The right yardstick is internal and relative: does your order value cover CAC with room to spare? Do order value, margin, and acquisition cost add up? Is it trending up or down against your own previous quarter?

In practice, a "good" AOV is one that makes each sale profitable after product costs, shipping, fees, and acquisition. If your CAC is $120 and gross margin is 40%, a $250 order leaves you at break-even. That calculation, not your neighbor's benchmark, is what sets the target.

8 ways to increase average order value

1. Cross-sell: offer the complement

Suggest the product that naturally pairs with what's already in the cart: the case with the phone, the filter with the coffee maker. In a case documented by McKinsey, an online retailer that built data-driven cross-category recommendations grew annual sales by roughly 20%. The detail almost nobody executes: cross-selling works when the suggestion is obvious to the customer, not to your overstocked warehouse.

2. Upsell: offer the better version

Move the customer to the higher plan or model at the moment of decision. It works best when the price gap is small relative to the perceived gain (the classic "for $30 more you get twice as much"). Above 25-30% of the original price, acceptance rates collapse.

3. Bundles and kits

Group products with a slight discount off the sum. A bundle raises the order value and simplifies the decision. The trap is building bundles around your inventory convenience; good bundles come from basket data, from pairs customers already buy together on their own.

4. Free shipping above a minimum

Set the threshold 15-25% above your current AOV. With a $300 average, free shipping from $349 nudges customers to complete the cart. Free shipping below your current average is pure subsidy: you're paying for behavior that already existed.

5. Price architecture and anchoring

Offering three tiers (basic, mid, premium) shifts choices toward the middle and up. Without the premium option, the mid tier becomes a ceiling; with it, it becomes the "sensible" pick. Pricing is the fastest way to move order value, and the most neglected.

6. Loyalty and conditional cashback

Cashback that only unlocks above a minimum spend, double points on larger orders. Incentives change behavior at the margin: someone who would spend $260 stretches to $320 to earn the perk.

7. Installments and payment options

In markets like Brazil, installments fit the wallet before the price fits the budget. Offering interest-free installments on higher price bands unlocks bigger orders, but run the numbers on financing fees first: this formula breaks when the financial cost swallows the margin on the extra value.

8. Personalization with your own data

The seven tactics above earn more when they're targeted: the dog-food buyer gets a treats offer, not an aquarium. That requires crossing order history, categories, and purchase frequency per customer. It's analysis work, not intuition, and it's where most mid-sized operations stall for lack of hands.

The mistakes that distort the analysis

Three traps come up constantly. The first is reading the average without the distribution: two or three outlier orders (a B2B sale, a customer stocking up) inflate the month's number and trigger undeserved celebration. The second is raising order value at the expense of conversion rate: higher prices or aggressive bundling can lift the average while total revenue falls. The two metrics must be read together.

The third is ignoring margin. AOV is a revenue metric, not a profit metric. A heavily discounted bundle raises order value and can shrink profit per order. If your operation already tracks the core financial indicators, cross order value with contribution margin per order before declaring victory.

Frequently asked questions

What is average order value?

It's the average amount spent per sale (or per customer) in a period. It shows how much each transaction is worth on average and is one of the three revenue levers, alongside number of customers and purchase frequency.

How do I calculate average spend per customer?

Divide the period's revenue by the number of unique customers who bought in that period, not by the number of orders. If 220 customers generated $90,000 in a month, average spend per customer is $409, even if they placed 300 orders.

Is a higher average order value always better?

No. A higher average with falling conversion can mean lower total revenue. It also doesn't guarantee profit: heavily discounted bundles lift the average while eroding margin. Read order value, conversion, and margin as a set.

What's the difference between average order value and LTV?

Average order value measures the worth of one purchase; LTV measures the worth of all of a customer's purchases over the relationship. A business can have low order values and high LTV if customers reorder often, as in pharmacies or pet supplies.

How can a store increase its average order value?

The most effective tactics are cross-selling and upselling at checkout, data-driven bundles, free-shipping thresholds set above the current average, price anchoring, and perks conditioned on higher spend. Start by measuring order value per channel to see where the room is.

Measuring well comes before raising it

Almost every company knows its revenue; very few know their average order value by channel, by category, and by customer type, which is where the real decisions live. Without those slices, the eight tactics become trial and error. With them, you know whether the problem is paid traffic attracting single-item buyers or a CRM that never prompts the second purchase.

If that cross-analysis currently means exporting spreadsheets and building pivot tables, Sherlok shortens the path: connect your data sources (sales platform, ad accounts, CRM), ask in plain language, "what was my average order value by channel in the last 90 days?", and get the analysis ready, with trends and the slices that matter. The time you save is better spent executing the tactics than computing the average.