What is a good conversion rate for an online store?
Published averages run from about 1.4% to 2.7%, and the right target depends on your category, device mix and traffic. This guide shows the current benchmarks, how to calculate your own rate and what to fix first.
By Cognito IT Consultancy, Whitefield, Bangalore · Updated 12 October 2026 · 7 min read
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What published averages say
Short answer: Published averages range from 1.4% to 2.66% depending on the dataset, and Shopify says global averages tend to sit around 2% to 3%. Treat them as reference points, not targets.
| Source | Average conversion rate | What it measures |
|---|---|---|
| Statista | 1.4% | Share of global ecommerce visits that became purchases in Q1 2026 |
| Dynamic Yield | 2.66% | Benchmark across more than 400 brands, no period given on Shopify's page |
| Shopify's guide | About 2% to 3% | The range Shopify says global averages tend to sit in |
Figures as cited on Shopify's ecommerce conversion rate guide, checked on 12 October 2026. Datasets use different methods and traffic, so they are not directly comparable.
Shopify's own advice is that a good rate depends on context: industry, price point, device mix and traffic source. It also says a higher number is not always better.
Rates by industry
Short answer: Industry matters more than the global average. In the Dynamic Yield figures Shopify cites, rates run from 0.63% for luxury and jewelry to 5.7% for pet care and vet services.
| Industry | Conversion rate |
|---|---|
| Pet care and vet services | 5.7% |
| Beauty and personal care | 5.32% |
| Food and beverage | 4.58% |
| Fashion, accessories and apparel | 2.77% |
| Consumer goods | 1.76% |
| Home and furniture | 1.29% |
| Luxury and jewelry | 0.63% |
Dynamic Yield data as cited by Shopify. Shopify's own FAQ lists slightly different figures for food and beverage (5.29%) and luxury and jewelry (0.94%), which shows how much these numbers move by dataset and month. Use them as ranges.
Comparing a furniture store with a beauty brand makes little sense. Pick your own category, then track your rate against your own history month by month.
Mobile vs desktop
Short answer: Desktop converts higher than mobile in the retail data Shopify cites: 3.7% against 2%. Mobile made up 69.9% of website visits in 2026, so mobile is where most visitors, and most of the upside, sit.
| Device | Conversion rate | Share of visits |
|---|---|---|
| Desktop | 3.7% | Not stated |
| Mobile | 2% | 69.9% of all website visits in 2026 |
Contentsquare retail data and its Digital Experience Benchmark Report, as cited by Shopify.
If most of your visitors are on phones, a small gain in mobile conversion often moves your overall rate more than a large gain on desktop. Check your mobile speed and checkout first. See our store speed guide and checkout optimization guide.
How to calculate it
Short answer: Divide orders by sessions and multiply by 100. Use sessions, not users, and use the same time period for both numbers.
Conversion rate = ( orders ÷ sessions ) × 100
For example, 200 orders from 10,000 sessions is a 2.0% conversion rate. Counting users instead of sessions inflates the rate, so keep one definition and use it every time you compare.
Find where visitors drop out
Short answer: Break the rate into funnel steps. The step with the lowest rate for your type of store shows where to look first.
The table is a worked example with made-up numbers, not a benchmark:
| Funnel step | Sessions or events | Step rate |
|---|---|---|
| Sessions | 10,000 | Start |
| Product page views | 4,000 | 40% of sessions |
| Add to cart | 600 | 15% of product views |
| Checkout started | 300 | 50% of carts |
| Orders | 200 | 66.7% of checkouts, and 2.0% of all sessions |
- Few product views: look at traffic quality, landing pages, navigation and tracking
- Few add-to-carts: look at price, shipping information, offers, trust and product pages
- Checkout drop-off: look at surprise shipping costs, payment options, trust and form friction
If visitors browse but do not buy, our guide on traffic but no sales walks through the checks in order.
Why one blended rate misleads
Short answer: A single store-wide rate hides big differences between segments. Always split it before you decide something is wrong.
Compare your rate across these cuts, each in the same time period:
- Device: mobile against desktop
- Visitor type: new against returning visitors
- Traffic source: organic search, email, direct and paid social
- Landing page: the page the session started on
A store running heavy cold paid traffic will show a lower blended rate than one fed by email and repeat buyers, even when nothing on the site has changed. Segment first, then fix. Our guide to CRO metrics that matter explains what to track.
What to fix first
Short answer: Confirm your tracking is correct, then fix mobile speed and checkout, then trust and product pages, then test offers. Do not redesign until you know where visitors drop out.
- Check that purchases, add-to-carts and checkout steps are recorded correctly
- Fix mobile page speed and the checkout path
- Show shipping cost, delivery time and returns clearly before checkout
- Strengthen product pages with clear photos, reviews you can verify and plain answers to common questions
- Test one change at a time and compare against the same period
Running ads? Work through our Shopify CRO checklist before you run ads first, so you do not pay for traffic that your store cannot convert. Selling in India? See ecommerce conversion rate in India. We also work with brands in the US and the UK, and we offer conversion rate optimization services.
Frequently asked questions
What is a good conversion rate for an online store?
There is no single number, but many stores sit between about 2% and 3%. Statista reported 1.4% of global ecommerce visits converting in Q1 2026, Dynamic Yield's benchmark across more than 400 brands is 2.66%, and Shopify says global averages tend to sit around 2% to 3%. A good rate for you depends on your category, price, device mix and traffic source.
Is a 1% conversion rate bad?
Not necessarily, because 1% is normal in some categories. Home and furniture averages 1.29% and luxury and jewelry 0.63% in the Dynamic Yield figures Shopify cites. A 1% rate can still be profitable when order values and margins are high, so judge it against your category and your costs.
Is a 3% conversion rate good?
A 3% rate is a strong result for many categories. It is above both the 1.4% and 2.66% dataset averages and at the top of the 2% to 3% range Shopify mentions. It is still below the beauty and pet care averages, so compare it with your own category.
How do I calculate ecommerce conversion rate?
Divide orders by sessions, then multiply by 100. For example, 200 orders from 10,000 sessions is 2.0%. Count sessions, not users, and use the same time period for both numbers. Counting users instead of sessions inflates the rate.
Why is my conversion rate falling?
A fall usually comes from a change in traffic, the store experience or tracking. Check your traffic mix first, because more cold paid traffic lowers the blended rate. Then compare mobile and desktop, look at where visitors drop out of the funnel, and confirm your analytics still records purchases correctly.
Do mobile and desktop convert differently?
Yes, desktop converts higher than mobile in the retail data Shopify cites. Contentsquare's retail data shows 3.7% on desktop and 2% on mobile, and mobile made up 69.9% of website visits in 2026. That makes mobile the biggest place to look for gains.
Does a higher conversion rate always mean more profit?
No, because margin and order value matter as much as the rate. A higher rate bought with deep discounts or low-quality traffic can reduce profit. Shopify also notes that a higher number is not always better, so read the rate alongside average order value, margin and acquisition cost.
Sources
All benchmark figures were checked on 12 October 2026. Shopify updates them regularly, so open the source for the latest numbers before you set a target.
- Shopify: ecommerce conversion rate guide: the Statista, Dynamic Yield and Contentsquare figures used above
Related guides
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