Ecommerce Conversion Rate Benchmarks by Industry (2026)

There is no single "average ecommerce conversion rate". The dated retail benchmarks cited in this article mostly land between about 1% and 4%, and the spread between industries is wider than the spread between "good" and "bad" stores in the same industry. The most recent dated figures we could verify: IRP Commerce measured an overall session conversion rate of 1.97% for UK and Irish B2C stores in September 2026, with categories ranging from 0.44% (Baby and Child) to 5.76% (Arts and Crafts). Use benchmarks like these as context, not as targets, and only after you have made your own number comparable.

This guide shows the figures with their sample and date, explains why benchmark sources disagree, and gives a step-by-step method to compare your own rate fairly.

Benchmarks by industry, with sample and date

The table below uses IRP Commerce's published Ecommerce Market Data for September 2026, the latest month on the page as checked on November 1, 2026. The change column is calculated from the two rounded figures shown. IRP is one of the few sources that publishes category figures monthly, states its formula and says where the data comes from. Its sample is B2C stores in Great Britain, Northern Ireland and Ireland that trade on the IRP platform, and the metric is transactions divided by sessions. IRP does not publish the number of merchants or sessions in the sample, so treat the categories as directional.

Two things stand out. First, a single month can swing a category by a full percentage point, so one month of data is a weak comparison. Second, low-ticket, repeat-purchase categories tend to convert higher than considered purchases. A 1.1% rate can be healthy for toys in a slow month and weak for craft supplies.

Other dated reference points

Contentsquare counts the share of visits that include a conversion, so its figures are not directly comparable with IRP's. Personalization and analytics vendors, including Dynamic Yield and Shopify, also publish benchmarks. They are useful, but each describes its own customer base, so always note who was measured before you quote a number.

Why benchmark sources disagree

Two reports can describe the same market and still differ by a full point. The usual reasons:

• Denominator. Orders divided by sessions gives a lower number than orders divided by unique visitors, because one visitor often has several sessions before buying.
• Sample. A platform's benchmark describes that platform's merchants. Enterprise analytics vendors skew toward larger brands with strong repeat traffic; small-store platforms skew the other way.
• Region and season. IRP's numbers are UK and Ireland only. November and December figures are inflated by gifting and promotions.
• Bot and internal traffic. Sources that filter bots aggressively report higher rates. So will your own analytics if you start filtering better.
• What counts as a conversion. Some vendors count any tracked goal; ecommerce benchmarks should count completed orders only.

How to compare your own rate fairly

This is the part most benchmark lists skip. Before comparing, make your number match the benchmark's definition. Then segment it, because a blended rate hides the problems you can actually fix.

1. Match the formula. If the benchmark uses transactions divided by sessions, use the same. In GA4, compare purchases with sessions, not with users, and use the same date range.
2. Use at least three months, and compare year over year. Compare September with last September, not with August. Exclude unusual promotion spikes or call them out.
3. Check data quality first. Confirm that every completed order fires one purchase event. Missing tags from payment redirects or consent banners can understate conversion by a large margin. A server-side setup can help; see our guide to server-side tracking for ecommerce.
4. Split by device. Mobile usually converts below desktop while bringing most of the traffic. Compare mobile with mobile.
5. Split by traffic source. Email and returning direct traffic convert far higher than paid social or broad prospecting. If you doubled top-of-funnel spend this year, your blended rate will drop even if nothing on the site changed.
6. Split new versus returning visitors. Contentsquare's 2026 retail data showed new-visitor conversion falling faster (-8.9%) than returning-visitor conversion (-4%), which is a reminder that the mix matters.
7. Compare within category and price band. A store selling $1,500 furniture should not be measured against a $20 consumables benchmark.

A simple fair-comparison worksheet

For channels where no fair public benchmark exists, your own history is the best benchmark you have.

What to do when you are below the range

A low rate is a symptom, not a diagnosis. Work through the funnel in order and find the step with the biggest drop:

• Landing to product view: search relevance, navigation and category pages. Slow or unstable pages lose people here. Google's "good" Core Web Vitals thresholds are LCP at or under 2.5 seconds, INP at or under 200 milliseconds and CLS at or under 0.1 at the 75th percentile. Our Magento Core Web Vitals guide explains how to hit them on Magento.
• Product view to add-to-cart: price clarity, stock and delivery information, images, reviews.
• Cart to checkout to order: unexpected costs, forced account creation, missing payment methods and form errors. With average documented cart abandonment around 70%, small fixes here pay off. See Magento checkout optimization.

Then test changes properly. Our guide to ecommerce conversion rate optimization covers how to prioritize and run experiments without fooling yourself.

FAQ

What is a good ecommerce conversion rate?

One that beats your own comparable figure from last year in the same segments. In IRP's September 2026 UK and Ireland data, eight of the ten categories fell between 1% and 3%, but category, price point and traffic mix move that a lot.

Why did my conversion rate drop when sales went up?

Usually because traffic grew faster than orders, often from new paid or social campaigns that bring colder visitors. Check conversion by channel before assuming the site got worse.

Should B2B stores use these benchmarks?

No. B2B buyers often research online and order later, by quote or by account. Track quote requests, reorders and account logins alongside online orders instead.

How often are these benchmarks updated?

IRP updates monthly; Contentsquare and Baymard update roughly yearly. Recheck the source before quoting a figure in a board report.

Turning the benchmark into a plan

Benchmarks tell you whether to look harder; your funnel tells you where. Speed and stability are a frequent cause of drop-off on large Magento catalogs, and Mistri's Magento performance optimization work starts with exactly that funnel and Core Web Vitals review. If the gap is at the top of the funnel instead, our Magento SEO services focus on bringing in visitors who are more likely to buy.

Sources

Ecommerce Market Data, September 2026 (IRP Commerce); Retail digital experience: conversions, 2026 Digital Experience Benchmarks (Contentsquare); Cart abandonment rate statistics (Baymard Institute); Web Vitals (web.dev).