August 29, 2026
Acquisition costs are rising across every major social channel. For most Shopify brands, simply buying more traffic is no longer a sustainable path to scaling profit. Operators are now looking inward at their existing traffic to find efficiency. Average Order Value (AOV) is one of the most direct levers for increasing revenue without increasing your ad spend.
At Videowise, we focus on turning on-site video into a measurable revenue channel, specifically helping brands lift metrics like AOV and Revenue Per Session (RPS). Understanding your Shopify average order value calculation is the first step toward optimizing your store’s unit economics. This guide covers how to calculate AOV accurately, how to interpret the data beyond simple averages, and the specific strategic levers you can pull to encourage larger baskets. We will explore the technical nuances of the Shopify admin and the merchandising strategies that drive real bottom-line growth.
Quick Answer: Shopify calculates Average Order Value (AOV) by dividing total revenue by the number of orders in a specific timeframe. You can find this in your admin under Analytics > Reports > Sales over time, where it is calculated as (Gross Sales - Discounts) / Total Orders.
The basic math for AOV is simple: Total Revenue divided by the Number of Orders. However, for a Shopify operator, the "Total Revenue" part of that equation requires a closer look. If you use the wrong revenue figure, your AOV data will be inconsistent, leading to flawed merchandising decisions.
To get a true reading of your performance, you must define what counts as revenue. Shopify’s internal reporting has specific rules for what is included in the AOV calculation:
Shopify typically calculates AOV as (Gross Sales minus Discounts) divided by the Number of Orders. This excludes shipping charges and taxes in most default reports. It also excludes adjustments made to orders after they are created, such as returns or exchanges.
While you can pull these numbers manually, most operators use the built-in Shopify Analytics dashboard. To find your current AOV:
Key Takeaway: Always ensure you are comparing "apples to apples" when looking at AOV. If one report includes shipping and another doesn't, your data-driven decisions will be based on noise rather than actual trends.
Relying solely on the "Mean" (the average) can be dangerous for a growing brand. A few very large orders—perhaps from a wholesale customer or a single high-ticket "whale"—can artificially inflate your AOV. This creates a distorted view of what a typical customer actually spends.
If you have nine orders of $20 and one order of $500, your Mean AOV is $68. However, 90% of your customers only spent $20. If you set a free shipping threshold at $60 based on that "average," you will likely see a massive drop in conversion because the threshold is unattainable for your core audience.
To build a better merchandising strategy, you need to look at three different measures of central tendency:
The Mode is often the most actionable metric for an ecommerce director. If your Mode is $45 and your AOV is $65, it means most people are buying one hero product and stopping. Your goal shouldn't be to move the "Average" to $75; it should be to nudge those $45 shoppers to add a small accessory or a second item to reach $60.
Bottom line: High-performing operators analyze order distribution histograms to see where the "clumps" of orders are. Optimization happens by moving those clumps toward higher price tiers.
A "good" AOV is entirely dependent on your vertical and your price architecture. A luxury jewelry brand and a beauty brand selling consumables cannot be measured by the same yardstick.
Based on global Shopify data, here is how different industries typically stack up:
| Industry | Typical AOV Range | Key Driver |
|---|---|---|
| Luxury & Jewelry | $230 – $417+ | High-ticket items, personalized products |
| Home & Furniture | $90 – $250+ | Large individual items, room sets |
| Fashion & Apparel | $85 – $170 | Bundling, multi-item baskets |
| Electronics | $80 – $120 | Main unit + accessory attachments |
| Beauty & Personal Care | $15 – $90 | Replenishment, kits, small add-ons |
If you are a beauty brand with an AOV of $75, you are performing well against the industry average. If you are a furniture brand with a $75 AOV, you likely have a significant problem with your product mix or shipping strategy.
Benchmarks should be a starting point, not the goal. Your internal goal should be to improve your own baseline while maintaining or increasing your Conversion Rate (CVR). A higher AOV that causes a massive drop in CVR often leads to lower total revenue.
Increasing AOV is a game of psychology and friction reduction. You want to make it easier and more rewarding for a customer to add "just one more thing" to their cart.
Visual proof is one of the most powerful ways to increase basket size. When customers see a product in motion—especially User-Generated Content (UGC) or a tutorial—they gain the confidence to buy.
We have seen that integrating shoppable video carousels directly on the Product Detail Page (PDP) allows brands to showcase complementary products in a lifestyle context. Instead of a static "You May Also Like" section, a video showing how a top and a pair of pants look together creates a more compelling case for a multi-item order. This approach increases Revenue Per Session (RPS) by shortening the path from discovery to purchase. Explore Videowise’s shoppable video platform for ways to connect video content with product discovery and purchase.
The free shipping threshold is the most common tool for lifting AOV, yet many brands set it incorrectly. If your threshold is too low, you leave money on the table. If it is too high, you hurt your conversion rate.
How to calculate the "Sweet Spot":
If your most common order is $50, set free shipping at $65 or $75. Then, make sure you have $15–$25 accessories prominently displayed in the cart or on the PDP.
Bundling reduces the cognitive load on the shopper. Instead of making three decisions (which cleanser, which toner, which moisturizer), the customer makes one decision (the "Glow Kit").
Effective bundle types include:
The timing of your offer matters as much as the product itself.
Key Takeaway: Post-purchase upsells are highly effective because they do not risk the initial conversion. They only add to the total revenue after the primary sale is secured.
AI is changing how we identify which content and products drive the highest order values. Modern platforms use AI to analyze thousands of customer sessions to see which videos or product placements lead to the largest baskets.
Not all content is created equal. Some videos might be great for "engagement" but terrible for revenue. AI-powered analytics allow operators to see exactly which video assets influenced an order.
For instance, using AI to automatically clip long-form founder videos into short, bite-sized product highlights can help you populate dozens of PDPs with relevant content quickly. By matching the right video to the right product, we help brands increase the likelihood of a multi-item purchase. AI tagging also ensures that every video is properly mapped to the product catalog, making the "shoppable" element work at scale without manual effort. For scalable product-video creation, explore Videowise AI Studio.
AI-driven recommendation engines look at historical data to predict what a customer will want next. Instead of showing the same "Best Sellers" to everyone, AI can show a returning customer a product that complements their previous purchase. This personalization makes the cross-sell feel like a helpful suggestion rather than a sales pitch, which is critical for maintaining brand trust.
There is a hidden relationship between site performance and average order value. If your site is slow, customers are less likely to browse multiple pages. They might buy the one item they came for, but the friction of a slow-loading site prevents them from exploring accessories or bundles.
Core Web Vitals (CWV) are the metrics Google uses to measure user experience. Specifically, Largest Contentful Paint (LCP) and Cumulative Layout Shift (CLS) are vital. If your site "jumps" or takes forever to load a product video, the shopper will bounce.
At Videowise, we built our performance-first infrastructure to ensure that adding rich, shoppable video doesn't slow down the page. By using viewport loading and compressed delivery, we ensure that the video only loads when the user is ready to see it. This keeps your PageSpeed Insights scores high while still providing the high-conversion visual experience that drives AOV.
Bottom line: A fast site encourages exploration. More pages viewed per session almost always correlates with a higher number of items per order.
You cannot improve what you cannot measure. When you implement a new AOV strategy—like a new bundling app or shoppable video—you need to know if the lift is real or just a seasonal fluctuation.
When measuring the impact of visual commerce, we look at two types of revenue:
Content Performance Analytics should give you a full-funnel view. You need to see the attribution from the first video view through to the final purchase. This allows you to double down on the types of content (e.g., "how-to" videos vs. "unboxing" videos) that specifically drive larger basket sizes. For a deeper framework, read how to track shoppable video performance on Shopify.
Never assume a tactic works without testing it.
By running these tests, you can find the optimal balance where AOV increases without hurting your conversion rate.
Even experienced operators can fall into traps that hurt their bottom line.
Mastering your Shopify average order value calculation is about more than just knowing the formula. It is about understanding the distribution of your orders and using strategic merchandising to nudge customer behavior. Whether it is through smarter free shipping thresholds, AI-driven bundles, or high-performance shoppable video, the goal is to maximize the value of every visitor you have already paid to acquire.
Our mission is to help brands turn video into a measurable revenue channel. By focusing on performance and revenue-first delivery, we enable Shopify stores to scale their AOV without compromising on page speed or user experience.
Next Steps for Operators:
"AOV is the multiplier of your acquisition efforts. If you double your AOV, you effectively halve your CAC in terms of revenue impact."
To see how shoppable video can specifically lift your AOV and conversion rates, install Videowise from the Shopify App Store or book a personalized demo with the Videowise team.
By default, Shopify’s AOV calculation in most reports uses net sales, which excludes shipping and taxes. However, you can customize your reports to include these if you want to see the total "out of pocket" amount a customer pays, but for merchandising purposes, it is better to look at product-only revenue.
You should monitor your AOV weekly to spot any sudden dips, but significant strategic changes should be evaluated over a 30-to-90-day window. This allows for enough data to account for seasonal trends and varying traffic sources.
This usually happens when you have a few very large orders that skew the average upward. It often suggests you have a "wholesale" or "bulk" segment of customers and a "retail" segment. You should create separate marketing strategies for these two distinct groups.
Yes, shoppable video increases AOV by providing lifestyle context and social proof, which encourages customers to buy multiple items. By showcasing how products work together or providing "complete the look" suggestions within the video player, you reduce the friction of finding complementary products. See how brands use shoppable video on ecommerce stores and review Dr. Dennis Gross’s AOV case study for examples of video commerce tied to larger baskets.
