How to Increase Average Order Value (AOV): A Practical Guide for Ecommerce Merchants

Every store has three ways to grow

You can bring in more customers, get customers to buy more often, or get each customer to spend more per order. That's the whole list.

Most teams spend almost all of their energy on the first lever. Ad costs climb every quarter, the acquisition funnel gets more crowded, and the payback period on a new customer stretches out. So the response is usually the same: raise the ad budget, then reach for a discount to protect conversion. Both moves cost margin, and neither one changes how much a customer is worth when they arrive.

The third lever, how much each customer spends per order, is the one that tends to sit untouched. It works on people who are already on your site, already have a cart open, already decided to buy. The incremental cost of a well-placed upsell or a bigger basket is close to zero. That's what makes average order value one of the most efficient numbers in your store to move.

This guide covers what AOV is, why it often beats spending more on acquisition, the strategies that reliably move it, and how a trade-in program turns a one-time sale into a larger basket and a returning customer.

Key takeaways

• AOV is the fastest growth lever to move. It works on customers you already have, so revenue rises without touching ad spend or acquisition volume.
• Placement and framing decide whether a tactic works. Bundles, cross-sells, and spend thresholds only lift AOV when they map to what the customer actually needs. A generic "you might also like" rarely does.
• Purchasing power beats discounts. Giving a customer store credit for the item they're replacing raises their budget without cutting your margin, so they buy up instead of buying cheaper.
• Protect the gains at checkout. A slow or complicated checkout quietly erases the AOV you worked to build.
• Segment before you celebrate. Track AOV by new versus returning customer and by channel, or you'll misread what's actually driving the change.

What is average order value (AOV)?

Average order value is the average amount a customer spends each time they place an order with your store. You calculate it by dividing total revenue by the number of orders over a set period:

Average order value = total revenue ÷ number of orders

If your store earns $80,000 in a month across 2,000 orders, your AOV is $40. Track it over a consistent window (monthly is a sensible baseline, daily during a big sale) so you can compare like with like and see whether a change actually moved the number.

How merchants measure it

Two refinements make the metric more honest:

• Watch for outliers. A handful of very large orders can pull the average up and hide the fact that most baskets are much smaller. Looking at the modal order value, the amount that shows up most often, tells you what a typical customer really spends, which is usually the number your strategies need to move.
• Segment it. A single blended AOV hides more than it reveals. Break it out by new versus returning customers, by acquisition channel, and by mobile versus desktop. Returning customers almost always spend more per order, so a blended figure can flatter or mask what's happening underneath.

Common misconceptions

• "Higher AOV always means more profit." Not on its own. If you lift AOV with a deep discount or a costly free gift, you can grow revenue while shrinking margin. AOV is a revenue metric; you still have to watch what each order costs to fulfill.
• "AOV and conversion rate move together." They can pull against each other. A spend threshold set too high, or an upsell that creates decision fatigue, can raise AOV while quietly suppressing conversion. Track both.
• "It's a vanity metric." Far from it. Because it responds quickly and works on existing traffic, AOV is often the most controllable input to revenue you have.

Why average order value matters more than it looks

The clearest way to see the value of AOV is to put it next to the cost of acquiring a customer.

Say you're running paid acquisition at $35 per new customer and your current AOV is $55. Every acquisition dollar returns roughly $1.57 in revenue. Now raise AOV to $68 (about a 24% increase) without changing your ad spend or order volume. That same acquisition dollar now returns $1.94. You're finding customers exactly the same way; what changed is how much each one is worth when they land.

That contrast is the whole argument. Acquisition gets more expensive and more competitive over time. AOV optimization works on transactions that are already happening, and the incremental cost of the tactics that move it is close to nothing.

The knock-on effects compound:

• Faster payback and healthier unit economics. A higher AOV shortens the time it takes to recover what you spent acquiring a customer, which frees up cash to reinvest.
• More room to grow lifetime value. AOV and customer lifetime value aren't the same thing, but a bigger first order and a reason to come back feed directly into how much a customer is worth over time.
• Less dependence on discounting. When you can grow revenue per order through value rather than price cuts, you protect margin instead of training customers to wait for a sale.

You find customers exactly the same way. What changes is how much each one is worth when they arrive.

Strategies to increase average order value

The tactics below are ordered roughly from the most familiar to the most differentiated. You don't need all of them. Pick one or two, run them cleanly, and measure before you stack the next. Applying everything at once makes it impossible to know what actually worked.

1. Bundle and cross-sell around genuine need

Most stores cross-sell with a generic "customers also bought" row that shoppers have learned to ignore. It adds clutter without adding basket size.

Best practices:

• Start from purchase context: what does someone buying this item actually need to use it? Build the bundle outward from there.
• Make the value obvious. If the individual prices are visible and buying together doesn't clearly save money or effort, customers skip it.
• Match cross-sells to cart contents. Someone with running socks in their cart should see insoles, not your best-selling jacket.
• Place suggestions where the decision is easy: a "frequently bought together" module near the add-to-cart button, an add-on on the cart page, or a one-click add-on on the confirmation screen after the card is already charged.

2. Set spend thresholds that give customers a goal

A spend threshold (free shipping, a gift, or bonus credit once a basket passes a set amount) gives shoppers a concrete target to reach for. Handled well, it nudges the near-misses over the line without discounting the whole order.

Best practices:

• Set the threshold 20–30% above your current AOV, so it's a reasonable stretch rather than a leap most carts can't make.
• Show progress toward it in the cart ("You're $8 away from free shipping") so the goal stays visible while the customer shops.
• Reward the stretch with something that doesn't erode margin: free shipping or store credit toward the next order beats a straight percentage off.
• Watch conversion alongside AOV. A threshold set too high raises the average on the orders that clear it while quietly turning away the ones that don't.

3. Give customers more to spend with trade-in and store credit

Price is the quietest reason carts get abandoned. A customer wants the upgraded model but talks themselves into the cheaper one, or leaves entirely, because the number at checkout is higher than they wanted to spend. Meanwhile the item they're replacing sits unused in a drawer.

Best practices:

• Offer the trade-in at the moment of hesitation: on the product page and in the cart, where a higher price is doing the most damage to conversion.
• Show the credit as spendable now, not as a rebate that arrives later. Instant store credit changes the basket in front of you; a mail-in cheque doesn't.
• Frame it as extra purchasing power ("trade in your old item and put the store credit toward this one"), so it reads as a bigger budget rather than a coupon.
• Keep the logistics invisible to the customer. The trade-in should feel like a simple step in checkout, not a separate errand.

4. Personalize upsells instead of pushing them

Blanket upsells ("customers also viewed") feel like noise. Worse, a poorly targeted upsell erodes trust and makes the next one easier to ignore.

Best practices:

• Use purchase and browsing history to suggest the next logical item, not the most expensive one.
• Recommend the upgraded version of what they're already considering, and make the reason to trade up concrete: longer battery, more storage, a better warranty.
• Cap it. One strong suggestion converts better than five that create decision fatigue.

Common mistakes: upselling on price alone; ignoring the data you already have; stacking so many suggestions the customer stalls.

5. Remove checkout friction so bigger baskets convert

Optimization doesn't stop at the cart. Every extra step is another moment for a customer to reconsider a bigger order. Protecting the AOV you've built means making the final stretch effortless.

Best practices:

• Offer guest checkout or single sign-on. Forced account creation mid-purchase is a needless barrier.
• Support saved payment details and the payment methods your customers actually use. Re-entering a card is one more chance to rethink the cart.
• At higher price points, flexible options, including buy-now-pay-later, can lift both conversion and AOV.
• Keep any trade-in or store-credit step inside the same flow, so applying credit never means leaving checkout.

Merchant takeaway: a bigger basket is fragile. Every removed step at checkout is AOV you keep.

6. Build a repeat upgrade cycle

When customers know they can trade in this year's purchase toward next year's upgrade, buying becomes a cycle rather than a one-off. Store credit from a trade-in only spends in your store, so it pulls the next purchase back to you and lifts the value of that order too.

Best practices:

• Tell customers at the point of sale that the item they're buying holds trade-in value later. It reframes the purchase as the first step in an upgrade path.
• Reach out when a natural upgrade window arrives, with the trade-in value ready to apply.
• Treat store credit as a retention loop, not a one-time promotion.

Example: a customer who traded in a phone for store credit last year gets a timely note when the new model lands, showing the credit their current phone would earn toward it. The upgrade closes without a new acquisition cost, and the credit nudges the basket higher.

How to measure and iterate on AOV

AOV is a ratio, so it can move for reasons that have nothing to do with your work. Measure it properly before you draw conclusions.

• Segment first. Break AOV out by new versus returning customers, by acquisition channel, and by mobile versus desktop. If new-customer AOV is rising, your acquisition and onboarding are working. If it's flat while returning AOV climbs, you're leaning on loyalty rather than improving the first purchase. If mobile trails desktop, that's usually a checkout-experience gap, not a pricing one.
• Test one change at a time. Run each tactic on its own for at least two to four weeks to absorb normal variation, and track AOV alongside conversion rate. It's easy to lift AOV while suppressing conversion: a threshold set too high, or an upsell that overwhelms, does exactly that.
• Set a review cadence. Monthly is a reasonable baseline. Compare rolling 30-day AOV against the same period last year to account for seasonality. If it drops more than 5–10% with no clear cause, treat it as a signal worth investigating.
• Keep AOV in context. Read it next to conversion rate, customer lifetime value, customer acquisition cost, and churn. AOV in isolation can send you chasing short-term basket size at the expense of the customer relationship.

A quick health check: set your free-shipping or store-credit threshold 20–30% above your current AOV, then look at how many orders land in the gap just below it. A cluster of near-misses is a live opportunity. Almost none means the bar is set too high to change behaviour.

How SELLIT9 Trade helps you raise AOV

Several of the strategies above point to the same idea: the most durable way to raise AOV is to give customers more to spend and a reason to return, without cutting your price. That's what SELLIT9 Trade is built to do.

SELLIT9 Trade is a trade-in engine for ecommerce. You add it to your store, and your customers can trade in the items they're replacing for instant store credit they apply to a new purchase. You offer the program; SELLIT9 handles the assessment, the logistics, and the resale behind it. Here's how each piece maps to a merchant outcome:

• Trade-in. Customers turn something they already own into purchasing power at the exact moment they're deciding what to buy. You take in the trade; SELLIT9 handles collection, assessment, and everything downstream.
• Store credit. The value comes back as store credit that only spends with you. It raises the customer's effective budget without touching your margin, so they buy up instead of buying cheaper, a direct lift to AOV.
• Upgrade programs. Position each purchase as the first step in an upgrade path. Customers who know they can trade in later commit more confidently now, which turns hesitation into checkout.
• Customer retention. Store credit is locked to your store, so the next purchase comes back to you. Trade-in becomes a retention loop rather than a one-time promotion.
• Higher AOV. Purchasing power plus a reason to trade up moves basket size in the direction you want: through added value, not discounting.
• Repeat purchases. A trade-in cycle gives customers a standing reason to return each time they're ready to upgrade, so a single sale seeds the next one.
• Circular commerce. Every trade-in keeps a working item in use instead of a drawer or a landfill. You build a more sustainable store while you grow revenue, a message today's shoppers respond to.

The throughline: discounts lower your price and train customers to wait. Trade-in raises the customer's budget, keeps the value inside your store, and brings them back. That's how you grow AOV and loyalty at the same time.

Ready to raise your AOV?

If you want to see how a trade-in program lifts basket size in your store, book a demo with SELLIT9 Trade. We'll walk through how trade-in and store credit fit your checkout, and what to expect for your AOV.