
Average order value (AOV) is the average dollar amount a customer spends per transaction in your store.
It is one of three fundamental revenue levers in ecommerce - alongside traffic volume and conversion rate - and it's arguably the easiest of the three to move without significant additional investment.
Traffic growth requires more ad spend, more content, more SEO work. Conversion rate optimization requires testing cycles and UX effort. AOV can be moved in days with a well-structured threshold offer or a relevant cross-sell - and the gains compound directly into revenue.
If 1,000 customers visit your store and 3% convert, that's 30 orders. If your AOV is $50, you generate $1,500. Raise your AOV to $75 - without touching traffic or conversion rate - and that same set of sessions generates $2,250. That's a 50% revenue increase with zero additional acquisition cost.
Scale that across a month of traffic and the impact becomes significant.
This is why experienced Shopify operators watch AOV closely alongside customer acquisition cost (CAC) and customer lifetime value (LTV). A store with a high AOV can afford to spend more acquiring each customer and still maintain healthy margins.
AOV is most useful when broken down by segment rather than tracked as a single store-wide number. A customer who arrived through paid social often has a different AOV than one who came through email or organic search. Understanding those differences tells you where to focus - and which of the 20 strategies below will have the highest impact for your specific store.
The formula is straightforward:
AOV = Total Revenue ÷ Number of Orders
Example: Your store generated $50,000 in revenue from 500 orders last month. Your AOV is $100.
You can find this in your Shopify admin under Analytics > Overview, where AOV appears as a standard dashboard metric. For more detailed breakdowns - by product, customer segment, or traffic source - go to Reports > Sales over time.
The mean AOV is a useful reference point, but it can mislead. A handful of high-value orders can inflate the number and mask the reality that most customers spend far less.
It's worth looking at all three measures:
If your mean AOV is $80 but the modal order value is $35, that's a very different optimization problem. Most of your customers are spending $35, and moving that number - even by $10 - will have more impact than chasing the occasional $200 order.
Marketing agency Common Thread Collective has highlighted this point extensively: focusing on the most common transaction size, rather than the inflated average, leads to more actionable AOV strategy.
AOV varies significantly by product category. A furniture brand and a cosmetics brand should not be targeting the same number.
Here are some AOV benchmarks by industry:
These are directional benchmarks. AOV in your niche will vary based on price points, product mix, customer demographics, and geography.
The global AOV across all industries sits around $145, according to Dynamic Yield benchmark data. But the number itself matters less than the trend. A $60 AOV growing month-over-month is more valuable than a stagnant $90 AOV with shrinking margins.
A below-benchmark AOV typically means one of three things. First, your catalog is too narrow - customers can't find enough relevant items to add, so they check out with one product. Second, your store lacks upsell and cross-sell mechanics - products exist but aren't surfaced at the right moments. Third, your price-point mix skews toward lower-ticket items without a natural path to bundle or trade up.
Each has a specific fix. The strategies below address all three.
This is the highest-ceiling strategy on this list - and the most underused.
A narrow catalog creates a hard ceiling on AOV. No bundle offer, threshold mechanic, or upsell logic can compensate for a store that doesn't have enough relevant products for customers to add in a single session. If a customer can only choose from 40 SKUs, the average cart size has a structural limit.
The traditional answer to this problem is buying more inventory. That carries obvious risks: upfront capital, warehousing overhead, and the possibility that a new product line doesn't sell. Most stores accept this ceiling rather than take on the financial risk.
A better model: catalog expansion through brand partnerships.
Carro is a dropship platform built specifically for Shopify retailers that want to grow their assortment without holding inventory. You connect with vetted brand partners, list their products on your storefront, and when a customer buys, the order routes automatically to the supplier for fulfillment.
You keep your margin. The customer gets the product. You never touch the stock.
Carro's network includes over 1.5 million products from established brands across categories including apparel, home goods, health, beauty, outdoor, and more. Account managers hand-match retailers with complementary brands - so you're not sorting through a generic catalog, you're being introduced to partners whose products fit your audience and category.
The results speak directly to AOV. Retailers using Carro have seen up to 180% AOV growth, because a broader, more relevant catalog gives every customer more items to add in a single session. VYSN, one of Carro's retail partners, described the impact: they can now grow their product assortment across multiple platforms from one centralized place - improving customer experience and offering a broader, more compelling selection without adding operational friction.
Carro's infrastructure manages the full supplier lifecycle - from onboarding and catalog ingestion to order routing, fulfillment tracking, and payouts - all from a single platform. This means expanding your catalog doesn't require expanding your team.
Bundling lets you increase transaction size by packaging related products together at a combined price that's more attractive than buying each item separately.
The psychology is straightforward. Customers feel they're getting more value from the same purchase, which reduces friction and increases cart size. You raise AOV without discounting individual products.
Effective bundles share a few traits:
On Shopify, apps like Bold Bundles or Frequently Bought Together let you build and display bundle offers without custom development. When combined with Carro's expanded catalog, bundles become significantly more powerful - you can build "complete kits" using your own products and a partner brand's complementary items in a single bundle offer.
Cross-selling surfaces complementary products at the point of highest buying intent - the product page and the cart.
"Customers who bought this also bought" works because it frames recommendations as social-proof signals rather than upsells. The key variable is relevance. A cross-sell that makes logical sense (a phone case on a phone accessories page) converts far better than an algorithmically random pairing.
If you've expanded your catalog through brand partnerships, cross-sells become more powerful - you have more genuinely related products to surface across every category. Place cross-sell recommendations on product pages below the add-to-cart button, in the cart drawer before checkout, and in post-purchase emails for subsequent orders.
An upsell encourages a customer to purchase a higher-tier version of what they're already buying - more units, a premium variant, or an upgraded configuration.
Common upsell formats on Shopify:
Timing matters.
Pre-checkout upsells that interrupt the payment flow can reduce conversion if poorly structured. Post-purchase upsells carry far less risk - the original order is confirmed, and a one-click add-on requires no additional payment friction.
Free shipping thresholds are among the most consistent AOV drivers across Shopify stores. Set a minimum order value above your current AOV and offer free shipping as the reward.
If your current AOV is $55, a threshold at $75 gives most customers a clear, value-driven reason to add one more item. Shipping costs rank among the top reasons for cart abandonment - removing that friction at a spend threshold turns a potential exit into an AOV increase.
Here are some of the best practices:
Tiered pricing rewards customers who buy more with progressively better per-unit pricing. This works especially well for consumables, supplements, home goods, and any product a customer buys repeatedly.
Here’s an example of structure:
The customer who was going to buy one now has a concrete financial reason to buy three. Your AOV increases, your cost per fulfilled order decreases relative to revenue, and margins hold even with the discount applied.
Email sign-up discounts are a standard acquisition tool. The AOV-aware version adds a spend floor.
Instead of "Get 10% off your first order," try: "Get $15 off orders over $75."
This filters for customers already willing to spend, brings them above a meaningful AOV threshold, and still grows your email list. The discount feels more like a reward than a price cut - which is better for brand perception and margin.
Loyalty programs increase AOV by giving repeat customers a reason to consolidate spending at your store - and to add more per order to accumulate points faster.
Points-per-dollar structures work well for this: if a customer has 180 points and a free product unlocks at 200, they'll find something to add to their cart. That's an AOV increase that costs you only the margin on the redemption - not the additional revenue from the cart add.
Some Shopify apps let you integrate directly and handle points tracking, rewards fulfillment, and customer-facing displays without custom development.
Some key considerations:
Urgency drives action. When a promotion has a genuine end date, customers who were on the fence about adding another item make the decision faster - and at a higher cart value.
Formats that work well for AOV:
The critical word there is "genuine." Countdown timers on evergreen offers erode trust quickly. Promotions should have real end dates, announced clearly, on a cadence that doesn't condition customers to wait for the next sale.
Manual merchandising has a ceiling - your team can only curate so many "you might also like" sections. AI-powered recommendation engines analyze purchase history, browsing signals, and real-time behavior to surface the most relevant products for each individual visitor.
On Shopify, some product recommendation plugins use behavioral data to optimize recommendations in real time. The AOV lift from well-tuned AI recommendations is consistent across store categories - and the output is only as good as the catalog it's drawing from.
This is another reason catalog breadth matters: a recommendation engine can only suggest what exists in your store.
Payment structure affects how customers think about order size. Buy Now, Pay Later options - like Klarna, Afterpay, and Shopify's native installments feature - remove the psychological barrier of large upfront payments.
A customer who hesitates at $150 in a single charge often has no hesitation at $37.50 per installment. Their budget math changes, and AOV rises accordingly.
BNPL is most impactful in categories with higher average price points: furniture, electronics, fitness equipment, and fashion. In lower AOV categories, the conversion lift may not justify the processing fees - worth testing before committing.
Scarcity messaging works at the product level, but it also works at the order level when tied to a threshold offer.
Example: "Only 3 spots left for same-week delivery on orders over $75."
This layers two motivators - urgency and a spend threshold - in a way that makes adding to the cart feel both urgent and rewarded. The messaging needs to be accurate to be credible, but when it is, it consistently moves AOV at the cart stage.
This is a design and UX strategy rather than a promotional one.
When a customer opens their cart, the default experience shows what they've added. A higher-AOV cart experience also shows what they're missing - complementary products, the item needed to unlock free shipping, or a "complete the look" module based on what's already in the cart.
Frameworks that work:
Each keeps customers engaged rather than routing straight to checkout, and every additional moment of engagement is a chance to add another item.
The moment immediately after a completed purchase is underused. The customer has already made a buying decision - their purchase intent is at its peak - and a one-click add-on doesn't require re-entering payment details.
Shopify supports native post-purchase pages, and some plugins allow you to build customized thank-you pages with product recommendations, bundle offers, and replenishment prompts. Post-purchase upsells don't increase the AOV of the original transaction, but they increase total revenue per customer visit - which is the underlying metric you're working to move.
Abandoned cart emails are table stakes. AOV-focused email and SMS strategy goes further.
Segmented campaigns targeting customers by historical order value can make a meaningful difference:
SMS performs particularly well for time-sensitive threshold promotions: "Your cart is $12 away from free shipping - checkout ends soon." Open rates and click-through rates on SMS far exceed email for direct conversion messages like this.
Gift-with-purchase promotions are more effective AOV drivers than equivalent discount offers. The perceived value of the gift is often higher than its actual cost, which makes the threshold feel like a bonus rather than a hurdle.
Here’s an example: "Spend $85 and receive [product] free."
Choose the gift deliberately. It should be something your customers already want but might not buy independently - a sample of a new product, a branded item, or a popular accessory. The goal is to make the threshold feel rewarding, not transactional.
Subscriptions don't directly increase per-order AOV in the traditional sense, but they raise the total value of each customer relationship - and subscribers tend to add one-time products to their recurring order at a higher rate than first-time buyers.
For consumables, auto-replenishment at a subscriber discount encourages customers to consolidate purchases: instead of reordering one item, they build a full replenishment order.
This strategy, when combined with complementary catalog expansion through a dropship platform, subscribers have more reasons to add to their regular order each cycle - which is where the AOV impact becomes meaningful.
Reviews, ratings, and "X people bought this today" signals at checkout reduce friction and increase buyer confidence. Confident customers complete larger orders - and are more likely to accept a recommendation to add one more item before checking out.
Consider these effective placements:
Static product images create doubt. Doubt creates hesitation. Hesitation leads to smaller carts.
When a customer can't clearly assess the size, material, or finish of a product from a flat photo, they default to the safer choice: buy one item, see how it goes, maybe come back later. That "maybe" is lost AOV.
3D product experiences - interactive viewers, 360° spins, and augmented reality (AR) try-on - remove that doubt at the product page stage, where the buying decision is made. A customer who can rotate a bag to inspect every angle, or place a piece of furniture into their actual room using AR, has already mentally committed to the purchase.
That confidence translates directly into larger carts: they're more likely to add a second item, upgrade to a bundle, or include a complementary product without second-guessing.
The data supports this. Shopify has reported that products with 3D and AR content see conversion rates up to 94% higher than products with standard images. Higher confidence at the product level means fewer exits before the cart stage - and more opportunities for upsells and cross-sells to land.
This is a longer-term structural play.
By deliberately expanding into categories adjacent to your core products - through brand partnerships rather than inventory purchases - you create a store architecture where customers naturally browse across multiple categories in a single session.
A pet food brand that adds grooming tools, supplements, and accessories through Carro's dropship network gives every customer multiple categories to explore. The customer who came for food often leaves with food plus at least one more item. That structural expansion - not a single promotion - is what moves AOV at scale.
Understanding how to align your supply chain strategy with this kind of growth is covered in our guide on how to choose an inventory management software.
Tracking AOV in Shopify is built in. Go to Analytics > Overview and you'll find it as a standard metric alongside conversion rate and total revenue.
For more granular analysis:
The most effective approach to increasing AOV is systematic, not one-off.
A repeatable cycle looks like this:
1. Establish a baseline: Pull your current AOV, modal order value, and median order value from Shopify Analytics. Note the date and use this as your starting benchmark.
2. Identify the bottleneck: Is your catalog too narrow? Are relevant products not being surfaced? Is your checkout process creating friction before customers can add more items? Diagnosing the root cause determines which strategies to try first.
3. Run two or three strategies for 30-60 days: Give each tactic enough time to generate meaningful data. Shorter windows can be distorted by seasonal variation or a single promotional spike.
4. Measure AOV change against the baseline: Calculate the delta, and - critically - also measure gross margin per order to confirm that the AOV increase is profitable.
5. Retain what works, replace what doesn't: The strategies that move your number become your standard playbook. The ones that don't move the needle get swapped out for the next round of tests from this list.
6. Raise the bar: As your AOV improves, revisit your free shipping threshold, your bundle price architecture, and your loyalty reward tiers. These numbers should evolve with your store's performance.
One important note: don't optimize AOV in isolation. A promotion that lifts AOV but compresses margins isn't a win.
Always track AOV alongside gross margin per order to confirm that revenue growth is translating into profitability. The goal is higher revenue per order and higher profit per order - not one at the expense of the other.
Most AOV tactics work at the margins.
A free shipping threshold might add $10 to the average cart. A bundle promotion moves the needle by 15%. These gains matter - but they compound most when you have a broader catalog for customers to shop from.
Carro gives Shopify retailers access to over 1.5 million products from established, vetted brand partners - without purchasing inventory, managing warehouses, or adding headcount. Orders route automatically. Suppliers fulfill. You keep the margin.
Retailers using Carro have seen up to 3.5x revenue growth and 180% AOV increases - not from a single tactic, but because a more relevant, broader assortment gives every customer more to add in every order.
Book a demo with Carro and see how catalog expansion works for your Shopify store.
AOV stands for Average Order Value - the average dollar amount spent per transaction in your store. It is calculated by dividing total revenue by the number of orders in a given period. For example, $10,000 in revenue from 200 orders equals a $50 AOV. Shopify displays this metric natively in your Analytics dashboard under the Overview report, and it is one of the three primary levers for growing ecommerce revenue alongside traffic and conversion rate.
Average order value is important because it measures revenue efficiency - how much you earn from each transaction, not just each visitor. Increasing AOV generates more revenue from the same customer base without additional acquisition spending. According to Dynamic Yield benchmark data, the global AOV across all industries is approximately $145, making it a useful reference point. A higher AOV also means you can afford a higher customer acquisition cost and still maintain healthy margins.
Average order value is affected by product assortment breadth, price points, bundle availability, checkout friction, shipping incentives, and upsell placement. Stores with narrow catalogs have a structural ceiling on AOV because customers have fewer relevant items to add. Free shipping thresholds, product bundles, cross-sells, and payment structure options like Buy Now Pay Later each influence how much a customer spends before checking out. The most significant single factor is catalog breadth - it determines the upper limit of what any other tactic can achieve.
To find average order value on Shopify, go to Analytics > Overview in your Shopify admin - AOV appears as a standard metric on the dashboard. For more detailed breakdowns by traffic source, product, or customer segment, navigate to Reports > Sales over time. Third-party analytics tools like Peel Insights provide additional cohort-level segmentation if your Shopify plan does not include advanced reporting.
A good AOV on Shopify depends heavily on your product category - apparel stores typically see AOVs between $75 and $150, while home goods stores range from $150 to $300, and food and beverage stores average $35 to $75. Rather than targeting a fixed number, benchmark your AOV against your specific category and focus on month-over-month improvement. An AOV trending upward at $60 is more strategically valuable than a flat $90 AOV with shrinking margins.
To increase AOV on Shopify, start by expanding your product catalog - Carro's dropship platform connects Shopify retailers with 1.5M+ products from vetted brands without inventory risk, and has driven up to 180% AOV growth for retailers using it. Then layer in tactical improvements: set a free shipping threshold 20–30% above your current AOV, create product bundles with clear savings messaging, add cross-sell recommendations at the product page and cart stage, and run spend-threshold promotions like "spend $75, get a free gift." Combining catalog expansion with these on-site mechanics is what produces compounding AOV gains rather than one-time lifts.





