Glossary · Metric
What is average order value (AOV)?
Average order value (AOV) is the average amount a customer spends in a single order. You calculate it by dividing total revenue by the number of orders over the same period.
Last reviewed June 7, 2026
AOV is one of the three numbers that set your revenue, alongside traffic and conversion rate. Raising it lifts revenue from the exact same number of orders, which is why it is one of the cheapest growth levers you have.
How to calculate AOV
Divide total revenue by the number of orders over a set period. If a store makes $50,000 from 1,000 orders in a month, its AOV is $50. Track it over time and by traffic source, because a higher-AOV channel can be worth more even if it converts less.
AOV interacts with everything else. A higher AOV means each conversion is worth more, which raises how much you can afford to spend acquiring a customer.
Why AOV matters
Traffic and conversion rate get most of the attention, but they are the expensive levers: more traffic costs ad spend, and conversion gains get harder as you optimize. AOV is the lever you can move on the orders you are already winning.
It also funds acquisition. The more each order is worth, the more you can bid for paid traffic and still stay profitable, which compounds across the whole funnel.
How to increase AOV
The honest ways to raise AOV all add genuine value: recommend complementary products, bundle items that belong together, and help shoppers buy the complete solution rather than a single piece. Cross-selling and upselling are the tactics; a relevant recommendation is what makes them work instead of annoy.
The key word is relevant. A generic add-on prompt gets ignored. A recommended set that actually fits what the shopper is buying gets purchased, because it reads as help, not a sales push.
Average order value (AOV) with RevenueHunt
RevenueHunt raises AOV by recommending a complete set instead of one product. Recommendation slots reserve a place for each role in a routine, stack, or bundle, so the results page returns the whole solution with add-to-cart for the set and an optional discount tied to the answers.
Because each item is matched to the shopper's answers, the larger order feels like a recommendation, not an upsell. You can estimate the revenue impact for your store with the quiz ROI calculator.
Frequently asked questions
How is average order value calculated?
Divide total revenue by the number of orders over the same period. For example, $50,000 in revenue from 1,000 orders is an average order value of $50.
Why is AOV important?
It lifts revenue from the orders you already win, without paying for more traffic, and a higher AOV lets you spend more to acquire each customer while staying profitable. It is one of the cheapest growth levers available.
How can a product quiz increase AOV?
By recommending a complete set rather than a single product. Recommendation slots return a matched routine, stack, or bundle with add-to-cart for the whole set, so each order is larger while still feeling personalized.
Related reading
- Cross-selling and upselling
- Conversion rate optimization
- Bundle builder quiz
- Routine builder quiz
- Quiz ROI calculator
More glossary terms
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Conversational commerce
Conversational commerce is selling through an interactive, two-way conversation instead of a static product grid. Shoppers answer questions, the store responds with tailored recommendations, the way a good salesperson works in a physical shop.
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Product discovery
Product discovery is how shoppers find the right product in your catalog. Good discovery, through search, filters, and guided quizzes, moves a shopper from I have a problem to this is the product with as little friction as possible.
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Product recommendation engine
A product recommendation engine is the software that decides which products to show a given shopper. It takes inputs (browsing behavior, purchase history, or stated preferences) and ranks your catalog to surface the best matches.
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Personalized product recommendations
Personalized product recommendations are suggestions tailored to an individual shopper rather than the same best-sellers shown to everyone. They can be based on browsing behavior, past purchases, or, most directly, on what the shopper tells you.
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Ecommerce personalization
Ecommerce personalization is adapting the shopping experience, the products, content, and offers a shopper sees, to the individual rather than showing everyone the same store. Done well, it lifts conversion and average order value.
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Shoppable quiz
A shoppable quiz is an interactive quiz that ends in a personalized results page where shoppers can add the recommended products straight to cart. The quiz is part of the storefront, not a survey that lives off to the side.
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Quiz funnel
A quiz funnel is a marketing funnel that uses a quiz as the entry point. A shopper takes a quiz, gets a recommendation, gives their email, and enters a segmented follow-up sequence. It turns anonymous traffic into a qualified lead with a known preference.
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Lead generation quiz
A lead generation quiz captures qualified leads: a shopper answers a few questions, gives their email to see the result, and you get a contact tagged with their stated preferences. It is an opt-in with a built-in reason to subscribe.
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Conversion rate optimization (CRO)
Conversion rate optimization (CRO) is the practice of increasing the percentage of visitors who take a desired action, usually a purchase. You measure conversion rate as conversions divided by visitors, then improve it without buying more traffic.
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Cross-selling and upselling
Cross-selling recommends related products that complement what a shopper is buying, like a moisturizer with a cleanser. Upselling recommends a better or larger version of what they already want, like a bigger size or a premium tier. Both raise order value.
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Customer segmentation
Customer segmentation is the practice of grouping customers by shared traits, like goals, behavior, or demographics, so you can market to each group with relevant messaging instead of sending everyone the same thing.