AOV (Average Order Value) Calculator
Use our AOV Calculator to calculate your average order value and see how much customers spend per order, helping you make better pricing, bundle, and revenue decisions.
AOV Calculator
Calculate your average order value and estimate the revenue impact of increasing it.
Formula: AOV = Total Revenue ÷ Total Orders
How to Calculate AOV (Average Order Value)
Average Order Value, or AOV, shows how much customers spend per order on average. It is one of the most useful ecommerce metrics because it helps you understand the value of each transaction, not just your total sales. The formula is simple: AOV = Total Revenue ÷ Total Orders.
For example, if your store generates $5,000 in revenue from 100 orders, your AOV is $50. That means the average customer spends $50 per transaction. If you increase that average without needing more orders, your revenue can grow much faster.
This calculator uses your total revenue and total orders to work out your current AOV. It can also compare that number against a target AOV, which is simply the average order value you want to reach. If your current AOV is $50 and your target AOV is $70, the gap is $20. That tells you how much more, on average, each customer would need to spend for you to hit your goal.
Once you enter a target, the calculator also shows the revenue impact. Using the same example, if you keep 100 orders but raise your average order value from $50 to $70, your projected revenue increases from $5,000 to $7,000. That creates $2,000 in potential extra revenue without relying on more traffic or more orders.
The calculator also includes a suggested free shipping threshold. This is not part of the AOV formula itself. It is simply a practical benchmark based on your current AOV, designed to help you encourage larger baskets. If your AOV is $50, a suggested threshold of $60 means you may want to test offering free shipping only when a customer spends $60 or more. The goal is to give shoppers a reason to add one more item to their cart.
AOV matters because improving it can make your store more efficient. If customers spend more per order, you can often absorb costs like shipping, payment fees, and acquisition costs more easily. That is why AOV is such an important metric for pricing, bundling, upsells, cross-sells, free shipping offers, and product recommendations.
In simple terms, this calculator helps you answer three important questions: what your average order value is now, what you want it to be, and how much extra revenue that increase could create. For ecommerce brands, that makes AOV one of the clearest ways to measure order quality and identify opportunities to grow revenue from the traffic you already have.
Frequently Asked Questions
Quick answers to common questions about our services, pricing, and process. If you have a specific goal, contact us and we will recommend the best next step.
What Is a Good Aov for Ecommerce?
There is no single “good” AOV for every store. Competitor guides repeatedly frame AOV as category-dependent, not universal. Replo positions AOV against industry averages, while Omniconvert says ecommerce AOV often sits somewhere around $50 to $150, but varies heavily by product type, price point, and business model.
That means the better question is not “Is my AOV high enough?” but “Is my AOV healthy for my category, price point, and margin structure?” A fashion, luxury, or electronics store will usually have a very different baseline from a beauty or low-ticket consumables brand, so your best benchmark is a mix of industry context + your own trend over time.
Should I Track Aov Daily, Weekly, or Monthly?
For most stores, monthly AOV is the default because it smooths out day-to-day noise and makes trend analysis easier. Competitor content from EcomHint, Triple Whale, Count, and Klipfolio all points to monthly tracking as the most common cadence, while daily tracking is more useful when you are actively watching promotions, launches, or seasonal swings.
A practical setup is to review AOV monthly for strategy, weekly during campaigns, and daily only when a major promotion or merchandising change is live. The important thing is to stay consistent with your time window so you are comparing like with like rather than mixing promotion periods with normal trading periods.
Should I Segment Aov by Device, Channel, or Customer Type?
Yes. Competitor and analytics guides consistently suggest that AOV becomes much more useful when you break it down by customer type, device, traffic source, campaign, or product group. Salesforce explicitly recommends segmenting by customer, device, channel, or campaign, and Porter Metrics recommends segmenting by time, channel, audience, campaign, and product.
This matters because a single store-level AOV can hide big differences. Your mobile traffic may convert into smaller baskets than desktop, one paid channel may bring in lower-value orders than email, and certain product collections may drive a much stronger basket size than others. Segmentation turns AOV from a basic metric into something you can actually act on.
Should Discounts Be Included in Aov?
In many ecommerce reporting setups, discounts do affect AOV, because the goal is to reflect what the customer actually paid per order. Shopify’s sales report definition uses (gross sales – discounts) / orders and excludes post-order adjustments such as edits or exchanges. That definition is useful because it makes AOV more reflective of real checkout behavior rather than list-price behavior.
The key is consistency. If you calculate AOV before discounts in one report and after discounts in another, the numbers stop being comparable. Growth Suite’s discount analysis also shows why this matters commercially: discounts can lift orders or conversion while still pulling down AOV and squeezing margins, so the definition you use should match the decision you are trying to make.
Should Returns, Refunds, Exchanges, and Cancellations Be Excluded from Aov?
For many merchandising and onsite optimization decisions, teams use AOV as an order-time metric, which means they focus on the basket at checkout and exclude later changes. Shopify’s reporting definition excludes post-order adjustments such as edits or exchanges, and Omniconvert’s metric explainers distinguish gross order-value type metrics from net earnings metrics that are affected by returns, refunds, and cancellations.
That said, AOV should not be treated as a full profitability metric. If you want a more realistic commercial view, use AOV alongside return rate, refund rate, and profit metrics. A store can have a healthy AOV and still struggle financially if too much of that order value is later lost to returns, refunds, or margin erosion.
Is a Higher Aov Always Better?
Not always. Growth Suite’s testing guidance makes the trade-off very clear: AOV maximizes value per order, but it can also reduce total orders if the tactic used to raise basket size introduces friction. Their A/B testing guide says AOV is best when margins are thin or acquisition costs are high, but total revenue is often the safer KPI when you want balanced growth.
It is also possible to raise revenue while harming profit. Growth Suite’s discount example shows a case where a blanket 20% discount increases orders and revenue, but lowers AOV and reduces monthly gross profit. So the better mindset is not “highest AOV wins,” but “higher AOV is useful when it improves the economics of the order without damaging conversion or margin too much.”
Is It Better to Improve Aov or Conversion Rate First?
Competitor content increasingly argues that improving AOV is often easier and faster than chasing marginal conversion gains. Growth Suite’s AOV guide says merchants tend to obsess over conversion rate, but raising AOV can be easier, faster, and more impactful, especially for stores that already have traffic but want more value out of each order.
But the right choice depends on the bottleneck. If your store has strong traffic and acceptable conversion but small baskets, AOV work often makes sense first. If your checkout is leaking users or your traffic quality is weak, conversion optimization may deserve priority. In other words, fix the constraint that is doing the most damage, rather than assuming AOV should always come first.
What Are the Best Ways to Increase Aov Without Hurting Conversion?
The most common competitor recommendations are bundles, relevant upsells, cross-sells, volume discounts, checkout offers, and post-purchase offers. EcomHint’s calculator page highlights free shipping thresholds, product bundles, volume discounts, and checkout upsells, while Growth Suite’s AOV resources emphasize free shipping thresholds, frequently bought together recommendations, and post-purchase upsells. Shopify’s AOV guide also points to upselling, cross-selling, and larger-purchase incentives.
The safest way to increase AOV is usually through relevance, not blanket discounting. Helpful product recommendations, well-built bundles, and targeted add-ons tend to be less risky than sitewide discounting. Growth Suite’s discount analysis shows why broad discounts can raise volume while cutting AOV and profit, so the best AOV tactics are the ones that grow basket size without training customers to only buy when everything is on sale.
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