- Ecommerce
- Conversion Rate
- Benchmarks
- GA4
Ecommerce Conversion Rate Benchmarks by Industry
By Olam Sule · Published 4 Sept 2026
TL;DR
Ecommerce conversion rate benchmarks vary far more than any single average suggests, with most stores landing somewhere between one and three percent of visits. Before you compare yourself to any table, check that your own number is measured correctly, because a benchmark gap is often a tracking gap, and that is the work we do for ecommerce clients most weeks.
Olamide Sule, founder of Dolphin Analytics: a digital analytics expert based in London helping agency and in-house teams measure ecommerce properly.
A benchmark comparison usually reaches us as a tracking question. A client sees a conversion rate that looks low against some table they found online, and they want to know whether the store is underperforming or the numbers are wrong. We set up and audit GA4 and Shopify tracking for ecommerce teams most weeks, so this is the benchmark guide we give them: the real published figures by industry, why the sources disagree, and how to tell a genuine gap from a measurement one.
What is a good ecommerce conversion rate?
There is no single good ecommerce conversion rate. Published averages cluster between about 1% and 3% of visits, but the honest answer depends on your industry, device mix, region and price point. Littledata put the average Shopify store at 1.4%, while Dynamic Yield measures a higher cross-brand average of 2.72%. A rate is good when it beats the benchmark for your specific category, on the devices your buyers actually use.
The spread matters more than the average. A rate that would be weak for a beauty brand can be strong for furniture, where high prices and long consideration cycles pull conversion down across the whole category. Comparing your store to a blended, all-industries figure tells you almost nothing; comparing it to your own sector, region and device mix tells you a lot.
Ecommerce conversion rate benchmarks by industry
Ecommerce conversion rates by industry range from under one percent for high-consideration categories to over five percent for low-cost, habitual purchases. Beauty, food and health categories convert highest; furniture, luxury and big-ticket categories convert lowest. The two tables below show a global cross-brand view and a UK sector view, which is part of why the category order shifts between them.
| Industry | Average conversion rate |
|---|---|
| Beauty and personal care | 5.39% |
| Food and beverage | 4.8% |
| Pet care and veterinary | 4.71% |
| Multi-brand retail | 3.01% |
| Fashion, accessories and apparel | 2.77% |
| Consumer goods | 2.47% |
| Home and furniture | 1.22% |
| Luxury and jewellery | 0.72% |
| All industries | 2.72% |
| Source | Dynamic Yield conversion benchmarks, 12-month average to June 2026 |
For a UK-specific view, IRP Commerce publishes conversion rates by sector every month, drawn from live UK stores rather than a global brand panel.
| UK sector | Conversion rate |
|---|---|
| Arts and crafts | 5.23% |
| Health and wellbeing | 3.57% |
| Kitchen and home appliances | 3.34% |
| Pet care | 2.95% |
| Sports and recreation | 2.12% |
| Cars and motorcycling | 1.82% |
| Fashion, clothing and accessories | 1.81% |
| Toys, games and collectables | 1.72% |
| Food and drink | 1.47% |
| Baby and child | 0.55% |
| All sectors | 2.26% |
| Source | IRP Commerce market data, July 2026 |
Look at fashion in both tables. It sits mid-pack globally but near the bottom in the UK sector data, and food ranks high globally yet low in the UK view. Neither table is wrong. They count different stores, in different places, over different windows, which is exactly why a single benchmark number is so easy to misread.
Why do these benchmarks disagree so much?
The benchmarks disagree because each source measures a different population of stores, not because one is right and the others wrong. Littledata covers Shopify stores only, Dynamic Yield covers a panel of enterprise brands across regions, and IRP Commerce reports UK sites monthly. Change the population and the average changes with it.
Five things move an ecommerce benchmark, and most published tables only tell you one or two of them:
- Platform. A Shopify-only panel skews toward small and mid-size stores; an enterprise panel skews toward big brands with heavier traffic.
- Region. Buying habits, payment methods and delivery expectations differ by country, so a UK average and a global average rarely match.
- Device mix. A store with mostly mobile traffic will read lower against a desktop-weighted benchmark.
- Traffic source. Paid social sends browsers; branded search and email send buyers. The channel mix moves the rate before the store does anything.
- Time period. A month that includes a sale or a peak season reads far higher than a quiet month, which is why monthly and annual figures diverge.
There is also a quieter reason the numbers disagree: they do not all count a conversion the same way. Some measure conversions against every session, others against sessions that reached the store, and analytics platforms count sessions differently from ecommerce platforms. That gap is where a benchmark comparison turns into a tracking problem, and we cover it in detail in why Google Analytics and Shopify sales do not match.
Does device change the benchmark?
Device changes the benchmark, and the sources even disagree on the direction. On Shopify stores, Littledata found desktop converting higher than mobile, at 1.9% against 1.2%. Contentsquare’s 2026 data, cited by Shopify, shows the same desktop lead, at 3.7% against 2%. Yet Dynamic Yield, measuring enterprise brands, found mobile slightly ahead, at 2.88% against 2.37%.
The practical rule is to compare like device with like. If most of your traffic is mobile, a blended or desktop-weighted benchmark will make a healthy store look broken. Split your own conversion rate by device first, then compare each against the closest benchmark you can find for that device.
Is your own conversion rate even measured correctly?
Before you trust any benchmark comparison, confirm your own conversion rate is measured correctly. When we audit ecommerce accounts, an unexpectedly low rate is more often a tracking fault than a real slump: a purchase event that stopped firing, consent settings dropping a slice of sessions, or GA4 counting sessions differently from Shopify.
A few checks separate a real gap from a measurement one:
- Does the purchase event fire once per order, not zero times or twice? Test a live checkout in GA4 DebugView and watch the event count.
- Is Google Consent Mode set so declined-consent sessions are still modelled, rather than silently dropped from the count?
- Do GA4 sessions reconcile with Shopify sessions, or is one platform counting far fewer than the other?
- Are refunds and cancellations handled, so completed conversions are not overstated?
This is the work we do for ecommerce clients most weeks. On one engagement, a Shopify Checkout Extensibility upgrade quietly broke the store’s conversion tracking; we restored accurate tracking within 48 hours and avoided an estimated $1.5M in wasted ad spend and mis-optimised Google Ads. Until a fault like that is fixed, the store’s measured conversion rate is fiction, and no benchmark table can tell you anything useful.
If your conversion rate looks off and you are not sure whether it is the store or the tracking underneath it, start with the tell us what’s broken, or book a call. To see what is actually firing on your store first, Sonar scans it from the outside in one click, with no account needed.
Which ecommerce KPIs matter beyond conversion rate?
Conversion rate is one ecommerce KPI, and on its own it can mislead. A rising conversion rate with falling revenue usually means average order value dropped, which no conversion-rate benchmark would ever reveal. Track conversion rate alongside these:
- Average order value: revenue divided by orders. It tells you whether a conversion-rate change is bringing in bigger baskets or smaller ones.
- Revenue per session: revenue divided by sessions. It blends conversion rate and order value into one number that is harder to game.
- Add-to-cart rate: the share of sessions that add an item. A weak conversion rate with a healthy add-to-cart rate points at checkout, not the product pages.
- Cart abandonment rate: the share of started carts that never buy. It isolates friction between the cart and the confirmation page.
- Customer acquisition cost against lifetime value: what a customer costs to win versus what they are worth over time. It stops a cheap conversion from looking better than a profitable one.
Engagement metrics sit underneath all of these. If you are unsure how GA4 reports them, our guide to bounce rate and engaged sessions in GA4 explains what those numbers really measure before you build KPIs on top of them.
A benchmark is a starting point, not a verdict. Use the industry and device tables above to see roughly where you should sit, then make sure your own number is measured cleanly enough to trust the comparison. That second step is usually the one that changes the answer.
Frequently asked
What is a good ecommerce conversion rate?
A good ecommerce conversion rate is one that beats the benchmark for your specific industry, device mix and region, not a universal figure. Most stores land somewhere between one and three percent of visits, with some categories converting much higher and considered-purchase categories much lower. Compare yourself to your own sector, not to a single headline average.
What is the average ecommerce conversion rate by industry?
Beauty, food and health categories tend to convert highest, often above the overall average, because they sell habitual, lower-cost items. Big ticket and considered-purchase categories like furniture, luxury and baby products convert lowest, because buyers research for longer before they commit. The exact order shifts between data sources depending on which stores and regions each one measures.
Why do ecommerce conversion rate benchmarks vary so much between sources?
Each source measures a different population of stores, so the averages differ even when nobody is wrong. Littledata reports Shopify stores only, Dynamic Yield reports enterprise brands across regions, and IRP Commerce reports UK sites monthly. Platform, region, traffic mix, device split and time period all move the number, so the source matters as much as the figure itself.
Is my low conversion rate a real problem or a tracking problem?
Often it is a tracking problem. When we audit ecommerce accounts, an unexpectedly low conversion rate is more frequently a broken purchase event, a consent setup dropping sessions, or GA4 counting differently from Shopify than a genuine slump in performance. Confirm the number is measured correctly before you act on it. If you are not sure, that is what talking to us is for.
What ecommerce KPIs should I track alongside conversion rate?
Conversion rate on its own can mislead, so track it with average order value, revenue per session, add-to-cart rate, cart abandonment rate, and customer acquisition cost against lifetime value. Together these show whether a conversion-rate change is helping the business or just moving the mix of who buys and what they spend.