What is a Good eCommerce Conversion Rate?
- eCommerce conversion rate = (transactions / sessions) x 100; 50 orders from 2,000 sessions is 2.5%.
- Dynamic Yield's benchmark gives a global eCommerce average of 2.72% (12-month average, checked September 2026).
- Industry matters: Dynamic Yield reports 5.39% for beauty and personal care but 0.72% for luxury and jewelry.
- Product type, order value, traffic source, device, platform and location all change what a good rate is for your store.
- Conversion rate optimization lifts sales from traffic you already pay for, which lowers your customer acquisition cost.
A good eCommerce conversion rate is one at or above the average for your industry and device mix, and one that keeps improving against your own past results. For orientation, Dynamic Yield's conversion rate benchmark puts the global eCommerce average at 2.72% (12-month average, checked September 2026). Below you will find the formula, the current averages by industry and device, the factors that move the number, and the tactics that raise it.
Conversion rate is still one of the most important metrics for measuring the real success of an online store. It shows the percentage of people who not only visit your website or landing page but also convert, and so contribute directly to your revenue. There are many types of conversion, but if you run an eCommerce store, the one you care about most is a completed purchase.
Together with other metrics, your conversion rate tells you how efficient your marketing campaigns and your product and site design are. It also keeps you aware of the performance and competitiveness of your online store. A higher conversion rate usually means better customer value and a lower cost to acquire each customer, because you get more sales from the same traffic.
Keep in mind that a conversion is not always a purchase. A signup or an add-to-cart is also a conversion, but the final goal of an eCommerce business is revenue. A high conversion rate on steps that do not lead to sales does not help the business. If you want the general definition of the metric and its types, see our glossary entry on conversion rate.
How do you calculate the eCommerce conversion rate?
Worked example: your store had 2,000 sessions last week and 50 completed orders. 50 ÷ 2,000 = 0.025, and 0.025 × 100 = 2.5%.
You can track conversions directly in most advertising and analytics platforms. Because there are many such platforms, it helps to know the simple formulas behind the numbers. Pay attention to these levels of conversion rate, as together they give you a clear picture of your store's performance:
- The overall conversion rate
- Marketing channel conversion rate
- Page-level conversion rate
- Campaign conversion rate
- Individual ad conversion rate
- Keyword conversion rate
Why you will find more than one formula
Online you will see several versions of the conversion rate formula. The reason is that the right one depends on what you want to control. To fine-tune your marketing budget and help more visitors reach the end of the sales funnel, you may need more detailed views.
This version divides the conversions in a fixed period by the total number of people who reached your landing page or homepage. It works for any goal, not only purchases.
Use the click conversion rate to find the percentage of visitors from a paid campaign who converted, no matter how many times each one converted. It is the right metric for judging an ad or a campaign.
Conversion rate data is flexible. It is acceptable to count several conversions by the same customer, and tracking more than one type of conversion helps you improve your marketing over time. For eCommerce, though, the number that matters most is transactions per session. To go deeper into reading these numbers, see our guide to conversion rate analysis and our explanation of micro-conversions.
What is the average eCommerce conversion rate in 2026?
Reliable conversion rate data is hard to get. Most companies protect this information, because few store owners gain anything from publishing their performance. The public benchmarks that exist come from platform and technology vendors who see data from many client sites. Dynamic Yield, a personalization platform, publishes a monthly-updated eCommerce conversion rate benchmark, and it is the source we use in this article.
Two points help you read any average correctly:
- Check the definition. A rate calculated per session is lower than a rate calculated per user, because one person often visits several times before buying. Compare like with like.
- Check the date. Averages move with seasons, promotions and economic conditions. A figure from a report several years old tells you little about your store today.
Improving your rate has a large effect even when the numbers look small. Moving from 2% to 3% means 50% more orders from the same traffic.
What is the average eCommerce conversion rate by industry and device?
Lower-priced products that people buy often convert at higher rates. Expensive products with a long decision process convert at lower rates. Compare your store with your own industry, not with the overall average.
| Industry | Average conversion rate |
|---|---|
| Beauty & Personal Care | 5.39% |
| Food & Beverage | 4.8% |
| Pet Care & Veterinary Services | 4.71% |
| Multi-Brand Retail | 3.01% |
| Fashion, Accessories, and Apparel | 2.77% |
| Consumer Goods | 2.47% |
| Home & Furniture | 1.22% |
| Luxury & Jewelry | 0.72% |
| Global average | 2.72% |
By device, Dynamic Yield's benchmark shows mobile at 2.88%, tablet at 2.85% and desktop at 2.37%. Your own store can show a different pattern, so always segment your rate by device before you decide where to optimize. These figures update monthly on the Dynamic Yield page, so check the source for the latest numbers.
What affects your eCommerce conversion rate?
A good conversion rate is specific to your products and to the campaigns that bring visitors to them. These are the variables that change it most:
- Product type. Everyday, repeat-purchase products convert more easily than considered purchases.
- Product cost or average order value. The higher the price, the longer customers research and the lower the rate per session.
- Traffic source. Returning visitors and branded search usually convert better than cold traffic from social ads.
- Device. Mobile, tablet and desktop visitors behave differently on the same site.
- Platform. Windows, Mac, iOS and Android users can show different results, often because of rendering or payment issues.
- Location. Shipping costs, delivery times, currency and local payment methods all affect whether people buy.
Knowing how these variables affect you helps you build conversion rate optimization tactics. It also pays to know your customers well and to segment them, which we cover below.
How can you increase your eCommerce conversion rate?
CRO helps both short-term campaigns and ongoing improvements, such as a better site UX/UI and better landing pages. Without it, much of the traffic you pay for leaves without buying. Here are the main strategies.
Remember that CRO lowers your CAC
CRO converts a greater share of the sessions you already have. You do not need to buy more traffic to sell more, so each new customer costs less to acquire, and more of your revenue becomes profit.
Improve your customer journey
A better customer journey keeps visitors on your site longer and makes them more likely to recommend it. The investment starts with long-term improvements to your store's UX/UI. Our guide to conversion funnel analysis shows how to find the steps where visitors drop off.
Improve your UX, especially at checkout
A better user experience produces a better customer journey. Give your potential customers something outstanding, especially in the checkout process, where many transactions are abandoned. See our guide to eCommerce checkout optimization and our article on shopping cart conversion rate.
Optimize your landing pages
If you already have good traffic, sending it to a page designed specifically to sell a product increases the chance of a transaction. CRO works well on landing pages, and A/B testing proves which version performs better.
To A/B test a page, follow these steps:
- Write a hypothesis. Name the change you want to make and the metric it should improve, such as conversion rate.
- Create two variants. Keep the current page as the control (A) and build the changed version (B).
- Split your traffic. Usually half of your visitors see page A and half see page B.
- Wait for enough data. Let the test reach its planned sample size before you read the result.
- Implement the winner. Make the better version the new default, then plan the next test.
For the full process, read how to create an A/B test.
Segment your customers into actionable groups
To raise conversion rates and keep them high, you need to know how different customers prefer to be approached. What makes each group buy, and how can you meet its specific needs? Which channels reach it, and what are your conversion rates by channel? Customer segmentation answers these questions and lets you personalize offers for each group. Our RFM segmentation guide explains a practical way to start.
Which tools help improve eCommerce conversion rates?
Omniconvert Explore is the testing and on-site experience tool. Use it to run A/B and multivariate tests on landing pages, product pages and checkout, to personalize the site for different segments, and to run on-site surveys that tell you why visitors do not buy. Explore has powered more than 70,000 experiments across 7,000+ websites, with a 23.2% average uplift.
Nexus by Omniconvert is the customer data and value tool. It uses RFM (Recency, Frequency, Monetary value) segmentation to show you who your best buyers are, which customers are at risk, and how your customer base divides into segments you can target. Nexus pushes RFM segments directly to Meta Ads, Google Ads and Klaviyo, so your campaigns reach the right groups. When you know your segments, you can test and personalize for them in Explore.
For many more ideas, see ConvertCart's article on how to increase eCommerce conversion rates, and our overview of conversion rate optimization.
Frequently Asked Questions
A good eCommerce conversion rate is one at or above the average for your industry and device mix, and one that keeps rising against your own history. As a reference point, Dynamic Yield's benchmark puts the global average at 2.72% (12-month average, checked September 2026), with industries ranging from 0.72% for luxury and jewelry to 5.39% for beauty and personal care.
Divide the number of completed transactions by the number of website sessions in the same period, then multiply by 100. eCommerce conversion rate = (transactions / sessions) x 100. For example, 50 orders from 2,000 sessions is a 2.5% conversion rate.
Dynamic Yield's conversion rate benchmark gives a global eCommerce average of 2.72%, based on a rolling 12-month average (figure checked September 2026). The number changes every month, and averages hide large differences by industry, device and traffic source, so use it as orientation rather than a target.
The online conversion rate is the share of visitors to a website who complete a goal online, such as a purchase, a signup or a form submission. It does not include people who research online and then buy in a physical store. For an online store, the main online conversion is a completed purchase.
In Dynamic Yield's benchmark (12-month averages, checked September 2026), beauty and personal care leads at 5.39%, followed by food and beverage at 4.8% and pet care at 4.71%. Home and furniture (1.22%) and luxury and jewelry (0.72%) have the lowest rates, because their products are more expensive and customers take longer to decide.
Not always. In Dynamic Yield's benchmark (checked September 2026), mobile converted at 2.88%, tablet at 2.85% and desktop at 2.37%. Your own store can show a different pattern, so segment your conversion rate by device in your analytics before you decide where to optimize.
Both are valid, but pick one and use it consistently. A session-based rate (transactions per session) is the eCommerce standard and matches what most analytics tools report. A user-based rate is higher, because one person can visit several times before buying. Do not compare a session-based rate with a user-based benchmark.
Find where visitors drop off, then test changes that remove the friction. The usual high-impact areas are the customer journey, the checkout, landing pages and product pages. Segment your customers so you can personalize offers, and prove each change with an A/B test before you roll it out. Omniconvert Explore supports this loop with A/B testing, personalization and surveys.
Calculate your conversion rate for the last 90 days, then break it down by traffic source, device and landing page. Compare each segment with your own history first and with a cited industry benchmark second. The weakest segment with meaningful traffic is where to start: research why visitors leave, write a hypothesis, and A/B test the fix. A good eCommerce conversion rate is not a fixed number. It is a rate that keeps going up, one proven change at a time.
Lift your conversion rate with Omniconvert Explore
Run A/B and multivariate tests, personalize the on-site experience and survey visitors to learn why they do not buy. Omniconvert Explore has powered 70,000+ experiments with a 23.2% average uplift.