DTC Benchmarks 2026: 25 Public Metrics in One Place
25 public ecommerce benchmarks for 2026, from conversion rate to repeat rate, each one linked to the report it came from. Plus the one number no benchmark can hand you.
Most benchmark posts are a pile of numbers with no return address.
You've seen them. "The average conversion rate is 2.5%." Says who? Measured on which stores? In what year? Half the time the number was copied from a post that copied it from a post, and the original study is from 2019.
So here are the DTC benchmarks 2026 founders actually ask me about, all in one place, with a rule I didn't bend once: every number below links to the report it came from, with the source name and the date, and I opened every one of those pages on September 30, 2026. If I couldn't open it, it didn't make the list.
Short answer, if you only have a minute: the big public datasets put ecommerce conversion somewhere between 1.4% and 2.71% depending on who's counting, 70.22% of carts get abandoned, the average retail retention rate is 27.4%, and order value swings so hard by month and category that the only order value benchmark worth trusting is your own last 12 months.
A benchmark is a scoreboard. It tells you the score in other people's games. It never tells you the play.
One honest note before the table. Very little public data is DTC-only. Most of it covers ecommerce broadly, a few reports are Shopify-specific, and one is UK-only. I've labeled every row so you know which yardstick you're holding.
What are the 25 DTC benchmarks for 2026?
Here's the whole set. Read the "Source" column as carefully as the "Benchmark" column. It tells you how much weight each number can carry.
| # | Metric | Benchmark | Source (date) |
|---|---|---|---|
| 1 | Global ecommerce conversion rate | 2.71% | Dynamic Yield, latest monthly reading (August) |
| 2 | Global ecommerce visits that convert, Q1 2026 | 1.4% | Statista, cited by Shopify (Aug 22, 2026) |
| 3 | UK online conversion rate | 2.23% (up from 1.85% a year earlier) | IRP Commerce, August 2026 |
| 4 | Shopify conversion tiers | 1.4% average, top 20% above 3.2%, top 10% above 4.7% | Littledata, 2023 study of 2,800 sites |
| 5 | Conversion rate range by industry, trailing 12 months | 0.7% (luxury and jewelry) to 5.39% (beauty and personal care) | Dynamic Yield |
| 6 | Retail conversion by device | 3.7% desktop vs 2% mobile | Contentsquare 2026 benchmark, cited by Shopify (Aug 22, 2026) |
| 7 | Returning vs new visitor conversion | 2.9% vs 1.7% | Contentsquare 2026 Digital Experience Benchmark |
| 8 | AI-referred traffic conversion | 1.3%, up 55% year over year | Contentsquare 2026 |
| 9 | Global add-to-cart rate | 6.09% | Dynamic Yield, latest monthly reading |
| 10 | Average cart abandonment rate | 70.22% | Baymard Institute, 50 studies (updated Sep 22, 2025) |
| 11 | Checkout abandoners who left over extra costs | 40% | Baymard Institute |
| 12 | Checkout abandoners who left because the site wanted an account | 18% | Baymard Institute |
| 13 | Global average order value | $192 | Dynamic Yield, August reading |
| 14 | Average order value by device | $260 desktop, $172 mobile, $162 tablet | Dynamic Yield |
| 15 | UK average order value | £129.23 (up 6.28%) | IRP Commerce, August 2026 |
| 16 | UK revenue per session | £1.92 (up 24.65%) | IRP Commerce, August 2026 |
| 17 | Share of retail traffic from mobile | 77% | Contentsquare retail guide, 2025 data |
| 18 | Change in cost per site visit | Up 9% in a year, up 30% over 3 years | Contentsquare 2026 (Mar 6, 2026) |
| 19 | Facebook traffic ads, all industries | 1.71% click-through rate, $0.70 cost per click | LocaliQ WordStream, 1,180 campaigns, Apr 2024 to Jun 2025 |
| 20 | Facebook traffic ads, Shopping, Collectibles and Gifts | 4.13% click-through rate, $0.34 cost per click | LocaliQ WordStream 2025 |
| 21 | Retail customer retention rate | 27.4% (19.1% jewelry to 41.2% health and beauty) | Bluecore 2025, cited by Shopify (Sep 4, 2026) |
| 22 | Email flows' share of email revenue | Nearly 41% of revenue from 5.3% of sends | Klaviyo 2026 benchmarks, 183,000+ customers |
| 23 | Abandoned cart email flow | 3.33% placed order rate, $3.65 revenue per recipient | Klaviyo, 143,000+ flows, 2023 data (published May 15, 2024) |
| 24 | SMS placed order rate | 1.9% for flows vs 0.27% for campaigns | Klaviyo 2026 SMS benchmarks |
| 25 | Share of online sales returned | 19.3% | NRF and Happy Returns (Oct 15, 2025) |
That's the reference table. Bookmark it, screenshot it, paste it into your board deck. Everything after this is how to read it without fooling yourself.
What is a good ecommerce conversion rate in 2026?
Here's the thing. Rows 1 through 4 all claim to answer the same question, and they don't agree.
Dynamic Yield says 2.71%. Statista, via Shopify, says 1.4% of global visits converted in Q1 2026. IRP Commerce says 2.23% for UK retailers in August 2026. Littledata's Shopify study says 1.4% was average.
Nobody's lying. They're measuring different stores. Dynamic Yield's data comes from brands running its personalization platform, which skews toward bigger, more mature sites. Statista counts global visits. IRP is UK retailers. Littledata looked at 2,800 sites in 2023, and that's the oldest number in this post, so I'm using it for one thing only: the shape of the tiers.
And the shape is the useful part. The Littledata tiers say the gap between average and the top 20% is more than double (1.4% to 3.2%). The gap from average to the top 10% is more than triple (1.4% to 4.7%).
The average store and the top-20% store get the same visitors. One of them closes more than twice as many.
So when a founder tells me "we're at 1.6%, that's fine, it's above average," my answer is always the same. Above average on which dataset? And why is average the bar?
If you want the deep version of this question, we broke down the 2026 Shopify conversion rate benchmark tiers in their own post. Here, I want to show you the row that matters more.
Why does your category matter more than the average?
Row 5 is the one most founders skip. It shouldn't be.
Across the trailing 12 months of Dynamic Yield's data, conversion rate runs from 0.7% in luxury and jewelry to 5.39% in beauty and personal care. That's a spread of more than seven times. A jewelry brand at 1.5% is crushing its category. A skincare brand at 1.5% is bleeding.
Source: Dynamic Yield conversion rate benchmarks, checked September 30, 2026.
Watch what happens to the "global average" once you see this chart. It's an average of a candle shop, a sofa store and a diamond ring. It describes nobody.
The IRP Commerce UK data says the same thing from another angle. In August 2026, Arts and Crafts converted at 5.81% while Baby and Child converted at 0.57%. Same country, same month, a tenfold gap.
So here's the rule I'd tattoo on every growth dashboard. Compare yourself to your category first. Then to your own last 90 days. The global number goes last, if it goes anywhere.
Where do visitors drop off before they buy?
Now the funnel rows. These are the ones that point at a fixable problem instead of a vanity score.
Start with row 9. Dynamic Yield's global add-to-cart rate is 6.09%. Over the past 12 months, beauty and personal care led at 9.56% and luxury and jewelry trailed at 1.72%. Add-to-cart is the first moment a visitor says "maybe." It's the cleanest read you'll get on whether the product page is doing its job.
Then row 10. Baymard Institute averaged 50 different studies and landed on a 70.22% cart abandonment rate. Seven in ten carts never become orders.
But here's the part people miss. Baymard also found that 42% of US online shoppers have abandoned a cart because they were "just browsing" or not ready to buy. That's abandonment you can't fix with checkout design. The rest you can.
Rows 11 and 12 are the fixable part. Among shoppers who abandoned a checkout (setting aside the window shoppers), Baymard found:
| Reason for abandoning checkout | Share of US abandoners |
|---|---|
| Extra costs too high (shipping, tax, fees) | 40% |
| Delivery was too slow | 20% |
| Didn't trust the site with card details | 19% |
| Site wanted an account | 18% |
| Checkout too long or complicated | 17% |
| Couldn't see the total cost up front | 12% |
Source: Baymard Institute cart abandonment research.
Read the top row twice. Four in ten abandoners left because the total surprised them. That's a page problem dressed up as a checkout problem. If the product page had been clear about shipping and total cost before the cart, the surprise never happens.
Checkout is where the bill arrives. The product page is where you decide whether it's a surprise.
I've written a whole breakdown on cutting Shopify cart abandonment before shoppers ever reach the cart, so I'll keep this short. If your add-to-cart rate is healthy and your checkout completion is weak, start with row 11.
How much do device and visitor type change the numbers?
A lot. More than most founders budget for.
Contentsquare's 2026 Digital Experience Benchmark is one of the biggest public datasets out there: 99 billion web and app sessions across more than 6,000 sites, covering Q4 2024 to Q4 2025. Three of its numbers made the list.
Row 17: mobile is the store now. 77% of retail site traffic came from mobile devices in 2025. Desktop was 23%.
Row 6: mobile closes less. Shopify's August 2026 roundup cites Contentsquare's retail data at 3.7% conversion on desktop and 2% on mobile. Contentsquare's own retail guide says desktop outperforms mobile by 40% to 70% across every retail sub-industry.
Put those two rows side by side and you get the most expensive gap in ecommerce. Three out of four visitors arrive on the device that converts worst.
Row 7: returning visitors close better. Returning visitors convert at 2.9%. New visitors convert at 1.7%. Contentsquare also found returning visitors make up 51% of all retail traffic.
And order value follows the same device split. Row 14, from Dynamic Yield: desktop orders averaged $260, mobile $172, tablet $162.
Most of your traffic shows up on the small screen, in a hurry, meeting you for the first time. Build the page for that visitor.
Here's my take on what this means for a Shopify brand. Your desktop numbers are flattering you. When you review a product page, review it on a phone first, because that's where three out of four of your visitors are judging it. If your page asks a new mobile visitor to scroll through six tabs to find out why it costs what it costs, the 2% number is going to look generous.
What do traffic and ad costs look like in 2026?
Rows 18 through 20 are about what it costs to get the visitor in the first place.
Row 18 is the one that should change how you think. Contentsquare found the cost of each site visit rose 9% year over year, and 30% over the last three years. At the same time, 59% of sites saw traffic decline in 2025. Fewer visitors, each one more expensive.
That's the squeeze every DTC founder feels and few can name.
On Facebook specifically, the LocaliQ WordStream 2025 report (1,180 campaigns, April 2024 to June 2025, medians in US dollars) found:
- All industries, traffic campaigns: 1.71% click-through rate, $0.70 cost per click.
- Shopping, Collectibles and Gifts: 4.13% click-through rate, $0.34 cost per click, the cheapest click of any industry in the report.
Cheap clicks are good news only if the page can close them. A $0.34 click that lands on a page converting at 1% costs you $34 per order before you pay for the product. Same click on a page converting at 3% costs about $11.33 per order.
There's one more traffic number worth knowing, row 8. AI-referred traffic (people arriving from ChatGPT, Perplexity and the like) converted at 1.3% in Contentsquare's data, up 55% year over year. It's still small and it still converts below paid search, which Contentsquare had at 2.8%. But it's the fastest-moving line on this whole list, and it's the one I'd watch through 2027.
Why is average order value the hardest benchmark to trust?
Because it moves like a pinball.
Dynamic Yield's latest global reading is $192 (row 13). The same page shows month-over-month swings above 100% in several categories, and its 12-month view runs from $417 in luxury and jewelry down to $61 in pet care and vet services. That's not a benchmark you plan a business around. It's weather.
Source: Dynamic Yield average order value benchmarks, checked September 30, 2026.
The UK data from IRP Commerce is steadier. August 2026 average order value was £129.23, up 6.28% on a year earlier (row 15). And revenue per session was £1.92, up 24.65% (row 16).
That last row is the most interesting number on the whole list. UK conversion rose about 20% and order value rose about 6%, and the money each session produced rose almost 25%. When both levers move, they compound.
Conversion rate and order value aren't two scores. They're one multiplier with two dials.
That's why I don't think about order value or conversion rate alone. I think about revenue per visitor, which is your conversion rate multiplied by your average order value. If you want the full argument, read revenue per visitor vs conversion rate. For category-by-category order value data, our DTC average order value statistics report goes deeper.
What is a good repeat purchase rate in 2026?
This is where the topic of "dtc metrics benchmarks" gets honest, because repeat rate is the number brands guard the hardest.
The cleanest public figure I found is row 21: Bluecore's 2025 Customer Growth Benchmarks Report, cited in Shopify's September 4, 2026 roundup. Average retail customer retention: 27.4%. Bluecore also found that once someone buys twice, they're 95% more likely to buy again.
But again, the category spread is the real story.
Source: Bluecore 2025 Customer Growth Benchmarks, cited by Shopify on September 4, 2026.
A home goods brand at 25% retention is beating its category. A skincare brand at 25% has a leak somewhere between the first box and the second order.
The email and SMS rows show where repeat revenue tends to come from.
Row 22: Klaviyo's 2026 benchmarks, built on more than 183,000 customers, found automated flows generate nearly 41% of total email revenue from just 5.3% of sends. Campaigns are 94.7% of the volume and the minority of the money.
Row 23: Klaviyo's abandoned cart benchmark (143,000+ flows, 2023 data, the latest it has published on this) found an average 3.33% placed order rate and $3.65 revenue per recipient. It's older than I'd like, so treat it as a floor, not a target.
Row 24: On SMS, Klaviyo's 2026 numbers show flows converting at a 1.9% placed order rate against 0.27% for campaigns. Flows were 7.6% of SMS sends and 45.2% of SMS revenue.
Same pattern on both channels. The message that fires because a customer did something beats the message you blast because it's Tuesday. If your flows aren't built, our guide to Klaviyo flows for Shopify walks through all of them.
And row 25 is the retention number nobody puts on a slide. The NRF and Happy Returns 2025 report estimates 19.3% of online sales get returned. Total US retail returns were projected at $849.9 billion for 2025. A sale that comes back isn't a customer you retained. It's a refund with extra shipping.
Which of these numbers can you actually plan around?
Not all 25 rows carry the same weight. Here's how I'd grade them.
| Grade | Rows | Why |
|---|---|---|
| Solid | 7, 10, 11, 12, 17, 18, 21, 22, 24, 25 | Large published samples, clear dates, measured behavior |
| Useful with care | 1, 3, 5, 9, 15, 16, 19, 20 | Strong datasets, but one platform's customers, one country, or monthly readings |
| Directional only | 2, 4, 6, 8, 13, 14, 23 | Older data, cited secondhand, or numbers that swing hard month to month |
That grading is my opinion, not a finding. But I'd rather tell you which numbers I'd bet on than pretend all 25 are equally sturdy.
Three rules for using any of them:
- Match the sample. A UK all-retail number isn't your US skincare store.
- Check the date. Littledata's Shopify tiers are from 2023. Klaviyo's abandoned cart data is from 2023. Use them for the shape, never the exact target.
- Never mix datasets in one formula. Don't multiply Dynamic Yield's conversion rate by IRP's order value. Different stores, different months, a number that describes nobody.
How do you turn benchmarks into revenue per visitor?
So you've got 25 numbers. What do you do with them on Monday?
You stop treating them as grades and start treating them as gaps. Let's run the math on a store like this, a hypothetical.
A Shopify skincare brand converts at 1.4%, right on the Littledata Shopify average. Its average order value is $85. That means revenue per visitor is $1.19 (0.014 x $85). On 10,000 visitors, that's $11,900.
Now say the same brand reaches the Littledata top-20% line, 3.2%, with the same $85 order value. Revenue per visitor becomes $2.72 (0.032 x $85). On the same 10,000 visitors, that's $27,200.
Same traffic. Same order value. $15,300 more a month, from moving one dial to a line that one in five Shopify stores already clears.
Hypothetical. Conversion rate x $85 average order value x 10,000 visitors.
And remember, that's a beauty brand sitting well under its own category. Dynamic Yield puts beauty and personal care at 5.39% over the last 12 months. The 3.2% line isn't even the ceiling for this store.
Plug in your own numbers and see where your page sits.
What our own numbers look like next to the benchmarks
Everything above is public data. This part is ours, and I'm keeping it separate on purpose.
A bedding brand we worked with started at a conversion rate of 1.0% and an average order value of $125. That's revenue per visitor of $1.25, below the Littledata Shopify average. After we rebuilt its top product pages, conversion rate went to 3.5% and average order value to $231. Revenue per visitor: $8.10. On 10,000 visitors, that's $12,500 before and $81,000 after. See the full before and after numbers on our results page. Real client numbers, not typical results, and not a promise of what your store will do.
Notice where that lands on the benchmark table. A 3.5% conversion rate clears Littledata's top-20% line (3.2%). And both the conversion rate and the order value moved, which is exactly the compounding effect the UK revenue per session row shows at the market level.
The broader library of ecommerce case studies has more of these, with every input on the table.
Where does AI fit into benchmarking your store?
Two places where it's useful today, and one where I'd be careful.
Useful: building your own benchmark sheet. Export 12 months of Shopify sessions, orders and revenue by product, paste it into an AI assistant, and ask it to compute conversion rate, average order value and revenue per visitor per product per month, then flag any month that drops more than 20% from the trailing average. That's an afternoon of spreadsheet work done in minutes, and it gives you the one benchmark no report can: you versus you.
Useful: rebuilding the page the benchmarks point at. If rows 6 and 11 tell you mobile visitors leave over surprise costs, the fix lives on the product page. At RevenueFlows AI we build high-converting product pages in less than 15 minutes, so testing a page that answers the cost question up front doesn't wait on a designer's calendar.
Careful: asking AI for benchmarks. Ask a chatbot "what's the average Shopify conversion rate" and you'll often get a confident number with no date and no sample. That's the exact problem this post exists to fix. Make it give you the source link, then open the link yourself.
Frequently asked questions
What is a good conversion rate for a DTC brand in 2026?
It depends on the dataset and your category. Dynamic Yield's latest global reading is 2.71%, Statista puts Q1 2026 global visits at 1.4%, and Littledata's Shopify study put the average at 1.4% with the top 20% above 3.2%. Compare yourself to your own category first, then to your own last 90 days.
What is the average ecommerce cart abandonment rate?
Baymard Institute's average across 50 studies is 70.22%. The biggest fixable reason is extra costs like shipping, taxes and fees, cited by 40% of US shoppers who abandoned a checkout.
What is a good repeat purchase rate for ecommerce?
Bluecore's 2025 benchmark, cited by Shopify, puts the average retail customer retention rate at 27.4%. It runs from 19.1% in jewelry and accessories to 41.2% in health and beauty, so 25% is strong for jewelry and weak for skincare.
What is the average order value for ecommerce in 2026?
Dynamic Yield's latest global reading is $192, with desktop orders at $260 and mobile at $172. Order value swings a lot by month and category, so use your own trailing 12 months as the baseline.
Where do the most reliable Shopify benchmarks come from?
From reports that publish their sample and their date: Baymard for checkout, Dynamic Yield and Contentsquare for on-site behavior, Klaviyo for email and SMS, and Littledata for Shopify conversion tiers. If a benchmark has no sample size and no date, don't plan around it.
What to do next
Open Shopify analytics today and pull one number: last 90 days of conversion rate and average order value for your single highest-traffic product page. Multiply them. That's your revenue per visitor. Then find your category row in the conversion chart above and write both numbers on one line.
If your page sits below its category, the benchmark just did its job. It told you where the gap is. Now go close it on the page, not in the ad account.
Book Your Profit Audit
Benchmarks tell you the score in other people's games. Book a profit audit and we'll show you what each visitor on your best product page is worth right now, where it sits against these numbers, and how to rebuild a high-converting product sales page in less than 15 minutes.
Or go here to check it out → revenueflows.ai
P.S. Every number in this post describes somebody else's store. The only benchmark that pays your bills is what your own page earns per visitor, and that one you can change this month.
Frequently asked questions
What is a good conversion rate for a DTC brand in 2026?
It depends on the dataset and your category. Dynamic Yield's latest global reading is 2.71%, Statista puts Q1 2026 global visits at 1.4%, and Littledata's Shopify study put the average at 1.4% with the top 20% above 3.2%. Compare yourself to your own category, then to your own last 90 days.
What is the average ecommerce cart abandonment rate?
Baymard Institute's average across 50 studies is 70.22%. The biggest fixable reason is extra costs like shipping, taxes and fees, cited by 40% of US shoppers who abandoned a checkout.
What is a good repeat purchase rate for ecommerce?
Bluecore's 2025 benchmark, cited by Shopify, puts the average retail customer retention rate at 27.4%. It runs from 19.1% in jewelry and accessories to 41.2% in health and beauty, so a 25% rate is strong for jewelry and weak for skincare.
What is the average order value for ecommerce in 2026?
Dynamic Yield's latest global reading is $192, with desktop orders at $260 and mobile at $172. Order value swings a lot by month and category, so use your own trailing 12 months as the baseline.
Where do the most reliable Shopify benchmarks come from?
From reports that publish their sample and date: Baymard for checkout, Dynamic Yield and Contentsquare for on-site behavior, Klaviyo for email and SMS, and Littledata for Shopify-specific conversion tiers. If a benchmark has no sample size and no date, don't plan around it.