Key statistics
- The average ecommerce conversion rate was 2.23% in August 2026, up from 1.85% a year earlier. IRP Commerce
- Dynamic Yield's rolling 12-month benchmark puts the global ecommerce conversion rate at 2.68% (October 2025 to September 2026). Dynamic Yield
- The median Shopify store converted 1.4% of sessions between July and October 2026, and the top 20% of stores converted above 2.7%. Littledata
- Arts and crafts stores converted at 5.81% in August 2026, the highest of any category, while baby and child stores converted at 0.57%. IRP Commerce
- Beauty and personal care sites have the highest conversion rate in Dynamic Yield's data, at 5.38% over 12 months, and luxury and jewelry the lowest, at 0.69%. Dynamic Yield
Your store's conversion rate connects the traffic you attract with the orders you receive. It's one of the most useful measures of ecommerce performance, but looking at your own percentage can leave you wondering how well you're doing.
Industry benchmarks give you a starting point for that comparison. Looking at stores selling similar products can help you judge whether your rate is healthy and where there might be room to improve.
This guide covers current ecommerce conversion benchmarks, including industry averages, and explains how to use them to assess your store and identify where the buying journey could improve.
What's the average ecommerce conversion rate?
Recent ecommerce benchmarks put the average conversion rate between about 1.5% and 3%, depending on which stores are measured and how:
2.23%
Average conversion rate in IRP Commerce's UK and Irish benchmark, August 2026
2.68%
Global average over the 12 months to September 2026
1.4%
Median across 426 Shopify stores, July to October 2026
IRP Commerce reports 2.23% for August 2026, up from 1.85% a year earlier. Dynamic Yield's rolling 12-month benchmark sits at 2.68%, while Littledata's median Shopify store converts 1.4% of sessions, with the top 20% of stores above 2.7%.
The differences come from who's in each sample and how conversion is counted. Littledata reports a median across mostly smaller Shopify stores, so a few high-converting brands can't pull it upward. Dynamic Yield's figure covers larger retailers and is calculated per user rather than per session.
Conversion also moves with the calendar. IRP's monthly figures show the holiday peak clearly, with the rate climbing in November before settling back in the new year:
Average ecommerce conversion rate by month, September 2025 to August 2026
Show the data
| Sep 2025 | 1.68% |
|---|---|
| Oct 2025 | 1.63% |
| Nov 2025 | 2.25% |
| Dec 2025 | 2.20% |
| Jan 2026 | 1.62% |
| Feb 2026 | 1.68% |
| Mar 2026 | 1.66% |
| Apr 2026 | 1.73% |
| May 2026 | 1.94% |
| Jun 2026 | 2.04% |
| Jul 2026 | 2.26% |
| Aug 2026 | 2.23% |
Compare your own rate with the same months a year earlier, rather than with the month before, so seasonal swings don't look like a problem or a win.
How to calculate your store's conversion rate
Your store's purchase conversion rate tells you what percentage of visits result in an order. You can calculate it using:
Purchase conversion rate = sessions with a purchase ÷ total sessions × 100
If 200 of 10,000 sessions include a purchase, the conversion rate is 2%.
Shopify uses this session-based approach, counting a visit once even if it contains more than one order. Other reports use orders divided by sessions, as IRP does, or measure conversions against visitors, as Dynamic Yield describes. Keeping the calculation consistent makes comparisons more useful.
If you're using GA4, make sure the report focuses on purchases. Its broader key-event metrics can also include actions such as email signups.
Average ecommerce conversion rates by industry
The overall average hides large differences between product categories. In IRP Commerce's August 2026 data, arts and crafts stores converted at 5.81%, compared with 1.86% for fashion and 0.57% for baby and child products:
Ecommerce conversion rate by category, August 2026
UK and Irish stores
Dynamic Yield's global data, drawn from larger retailers over 12 months, shows a similar pattern. Everyday categories like beauty, pet care and food convert far more often than furniture or jewelry, where purchases are bigger and more considered:
Ecommerce conversion rate by industry, October 2025 to September 2026
A category label still covers a range of businesses. A specialist selling expensive baby furniture will have different buying behavior from a brand selling everyday baby consumables.
Use the category average as context, then narrow the comparison to your product, price and customer mix.
Why two similar stores can convert differently
Several factors can move conversion rate without a change in the quality of the storefront.
Traffic source and customer intent
A visitor clicking a refill reminder already knows the product and has a reason to buy. Someone discovering your brand through a social ad may still be deciding whether they need it.
If you expand into prospecting campaigns, your blended conversion rate can fall while you acquire more customers. Separate the performance of those campaigns from returning-customer traffic before concluding that the site got worse.
New versus returning customers
Customers who've bought before have less uncertainty to resolve. They may know their size, recognize the product and trust the delivery process.
That makes retention relevant to conversion, but a high returning-customer share can also conceal weak acquisition performance. Reviewing both groups shows whether growth depends on a healthy mix of new demand and repeat business.
Device and purchase journey
Device averages differ across datasets. Your mobile audience may contain more first visits, while desktop attracts customers completing a considered purchase. Some customers move between devices.
Compare mobile and desktop within similar traffic sources and customer groups. Our mobile ecommerce conversion guide covers the current benchmarks and the practical reasons those rates can diverge.
Price, product and timing
A sofa, a supplement refill and a limited-edition T-shirt involve different levels of consideration. Stock availability, payday, seasonal demand and promotional activity can also shift the rate.
Comparing the same period year over year, alongside recent weeks, gives you more context than a single month in isolation.
Where to look when conversion rate falls
When your conversion rate falls, looking at each stage of the shopping journey helps you decide where to investigate. A drop in cart additions points to different problems from a drop in successful payments:
| What you're seeing | What to investigate |
|---|---|
| Fewer shoppers add products to cart | Product relevance, stock, variant selection, information and offer clarity |
| Cart additions hold up, but fewer visitors start checkout | Delivery costs, delivery timing, cart errors and unexpected charges |
| Checkout starts hold up, but purchases fall | Payment failures, form problems, account requirements and missing payment options |
| The overall rate falls, but individual channels look stable | Changes in the traffic or device mix |
Customer questions and recordings of the affected journeys can help you work out what's happening. If shoppers are leaving product pages without choosing anything, looking more closely at your add-to-cart rate can help you narrow down the problem.
Measuring conversion improvements
A discount can increase purchases while reducing the contribution from each order. Removing a product recommendation might speed up checkout while lowering average order value. Stopping prospecting activity can lift the blended rate while starving the business of new customers.
That's why conversion belongs alongside revenue per session, order value, acquisition costs and the quality of the customers you acquire.
The same applies to experiments. A useful test improves a commercial outcome under comparable conditions. A small movement in a percentage, on a small sample, isn't enough to establish that a change worked.
Final thoughts
Ecommerce conversion benchmarks help you put your store's performance in perspective. Comparisons with similar products and audiences are especially useful because they bring you closer to understanding how well your store serves the people visiting it.
From there, the opportunity is to make buying easier. Answering a product question, clarifying delivery or fixing a payment problem can help someone complete an order they already wanted to place.
