Glossary · Concept
What is 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.
Last reviewed June 7, 2026
CRO is about getting more out of the traffic you already have. Doubling your conversion rate has the same effect on revenue as doubling your traffic, but it costs far less.
How conversion rate is calculated
Conversion rate is conversions divided by total visitors, expressed as a percentage. If 1,000 visitors produce 20 purchases, that is a 2% conversion rate. Average ecommerce conversion rates sit in the low single digits, so small absolute gains are large relative ones: moving from 2% to 3% is a 50% lift in orders.
The same math applies to any goal, not just purchases. Email signups, quiz completions, and add-to-carts are all conversions you can optimize.
Where CRO actually focuses
Good CRO finds the specific step where intent leaks away and fixes it. Common leaks: a product page that does not answer the shopper's real question, a checkout with too much friction, or a category page that drops an undecided shopper into a wall of options with no guidance.
It is a loop, not a one-time fix: form a hypothesis, change one thing, measure against a baseline, keep what wins. The discipline is changing one variable at a time so you know what moved the number.
Tactics that move the number
The durable wins are clarity and relevance: faster pages, honest product information, fewer checkout steps, and helping undecided shoppers choose. Discount popups can lift conversion in the short term, but they train shoppers to wait for deals and erode margin.
Helping shoppers choose is the most overlooked lever. A shopper who cannot decide does not convert, and a grid of options does not help them. A guided experience that narrows the catalog to a confident recommendation removes the indecision that quietly kills conversions.
Conversion rate optimization (CRO) with RevenueHunt
A product recommendation quiz is a CRO tactic aimed at the indecision leak. Instead of leaving a shopper to compare a wall of products, it asks a few questions and returns a confident, personalized recommendation, so more shoppers reach a buying decision.
It also captures email and preference data along the way, so the visitors who do not buy on the first visit are not lost. You can size the potential lift for your own numbers with the quiz ROI calculator.
Frequently asked questions
How do you calculate conversion rate?
Divide the number of conversions by the number of visitors and express it as a percentage. For example, 20 purchases from 1,000 visitors is a 2% conversion rate. The same formula works for any goal, like signups or quiz completions.
What is a good ecommerce conversion rate?
Most ecommerce stores convert in the low single digits, often around 1% to 3%. Because the base is small, modest absolute gains are large relative ones: moving from 2% to 3% is a 50% increase in orders.
How does a product quiz improve conversion rate?
It targets the indecision leak. A quiz narrows a large catalog to a confident, personalized recommendation, so undecided shoppers reach a buying decision instead of bouncing off a grid of options.
Related reading
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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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.
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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.