Short answer. There is no public checkout conversion benchmark for enterprise brands. The published numbers are all-ecommerce averages. As of November 2026, about 1.6% of visits to ecommerce sites worldwide end in a purchase (Statista, Q3 2026) [S1], and the median store converts 47% of sessions that start checkout (Littledata, 438 Shopify stores, Aug–Oct 2026) [L1]. Baymard puts average cart abandonment at 70.22% [B1]. For an enterprise brand, the useful benchmark is your own checkout-stage rate, split by device and by new versus returning shoppers, and tracked against a control.
Three numbers that all get called "conversion rate"
Most disagreement about benchmarks comes from comparing different metrics. Before you compare your number to anyone else's, check which of these it is.
- Site conversion rate. Orders divided by sessions (or by visitors). This is the 1–3% figure most articles quote. IRP Commerce, for example, defines it as transactions divided by sessions [I1].
- Checkout completion rate. Of the sessions that start checkout, the share that place an order. Littledata uses this definition [L1]. This is the number a checkout change moves most directly.
- Cart abandonment rate. The share of carts created that never become orders. Baymard's 70.22% is this metric [B1].
A rate per visitor and a rate per session aren't comparable, and neither is comparable to a checkout-stage rate. That's why "Is a 20% conversion rate good?" has two answers. As a site conversion rate, 20% would be far above every average in the table below. As a checkout completion rate, it would be far below the Littledata median.
Benchmark table
Each row gives the figure as its source states it, with the sample and period. Source IDs are listed under Sources.
| Metric | Figure | Sample | Period | Source |
|---|---|---|---|---|
| Site conversion rate, worldwide | 1.6% of visits | Statista Research Department | Q3 2026 (page updated Nov 6, 2026) | [S1] |
| Site conversion rate, UK and Ireland | 1.97% of sessions | Retailers on the IRP Commerce platform (count not stated) | September 2026 | [I1] |
| Conversion, returning vs new visitors | 2.9% vs 1.7% | 99 billion sessions, 6,000+ sites, across industries | 2026 benchmark (published Mar 9, 2026) | [C1] |
| Desktop vs mobile conversion | Desktop 74% higher than mobile | Same as above | Same as above | [C1] |
| Checkout completion rate | Median 47%; top 20% at 65%; top 10% at 73% | 438 Shopify stores using Littledata | Aug 3 – Oct 31, 2026 | [L1] |
| Cart abandonment rate | 70.22% average | 50 studies, 2006–2025 | Page updated Oct 28, 2026 | [B1] |
| Checkout UX quality | 65% of sites "mediocre" or worse | 344 top-grossing US and EU sites | Baymard's latest benchmark (undated) | [B2] |
| Average checkout length | 5.1 steps; 11.3 form fields (8 needed) | Baymard UX benchmark | Published Jun 26, 2024 | [B3] |
| Smartphone share of online transactions | 56.4% | Over 1 trillion visits to US retail sites | Nov 1 – Dec 31, 2025 | [A1] |
| Mobile share of US online orders | 70% | 1.5 billion+ shoppers, global data | Cyber Week, Nov 25 – Dec 1, 2025 | [F1] |
| Mobile wallets' share of US orders | 29% | Same as above | Same as above | [F1] |
What the averages hide for enterprise brands
None of these sources publishes a checkout conversion rate for enterprise or large-brand sites as a separate group. Statista, IRP Commerce and Contentsquare report all-site averages. Littledata's checkout benchmark comes from Shopify stores, and it doesn't break out results by store size. If you see a number labeled "enterprise checkout conversion rate" without a named sample and date, treat it with caution.
Two sources come closest to an enterprise view, and neither publishes a conversion rate:
- Baymard's checkout benchmark scores the checkout UX of 344 top-grossing US and EU ecommerce sites. 65% rate "mediocre" or worse, and the average site has 32 checkout improvements left to make [B2]. Baymard estimates that the average large ecommerce site can gain a 35.26% increase in conversion rate through better checkout design [B1]. That is Baymard's model of what's recoverable, not a measured result.
- Adobe's holiday data covers over 1 trillion visits to US retail sites, and Adobe says its Analytics product is used by the majority of the top 100 US internet retailers [A1]. Its public releases report sales and device share, not conversion rates.
So the honest enterprise answer is a method, not a number: measure your own checkout-stage rate the same way every period, and compare it against your own control.
Where checkouts lose orders
Baymard's survey of US online shoppers lists why they abandoned a purchase, after excluding the 42% who were "just browsing" [B1]:
- Extra costs too high (shipping, tax, fees): 40%
- Delivery too slow: 20%
- Didn't trust the site with credit card information: 19%
- Site wanted an account created: 18%
- Too long or complicated checkout: 17%
- Website had errors or crashed: 17%
Several of these are checkout problems, not merchandising problems. Forced account creation and long forms show up directly. Baymard's 2024 count of 11.3 form fields in the average checkout, against the 8 most sites need, shows how much typing is still left in a typical flow [B3].
Mobile is where the gap is
Most orders now happen on phones. Adobe reports that 56.4% of US online transactions in the 2025 holiday season went through a smartphone [A1]. Salesforce reports that mobile devices drove 70% of US online orders in Cyber Week 2025, and that mobile wallets were used on 29% of US orders [F1]. Yet Contentsquare's 2026 benchmark found desktop conversion 74% higher than mobile across the sites it measures [C1].
For an enterprise checkout, that combination makes mobile checkout completion the first number to break out. It's also where returning-shopper recognition matters most, since retyping an address and card on a phone is where long forms hurt.
How to benchmark your own checkout
- Pick one definition and keep it. Use checkout completion (orders divided by sessions that start checkout) for checkout decisions. Report site conversion separately.
- Split by device. Desktop and mobile behave differently enough that a blended number hides the problem [C1].
- Split new from returning shoppers. Returning visitors convert at a higher rate in Contentsquare's data [C1], so a shift in traffic mix can move your blended rate without any change to checkout.
- Compare like periods. Holiday traffic converts differently. Compare Cyber Week with last Cyber Week, not with October.
- Use a control. When you test a checkout change, run an A/B test on live traffic rather than a before-and-after read. Vendor figures, including ours, are self-reported, so measure on your own store.
What Bolt customers measured
Bolt adds one-click checkout for over 100 million shoppers in the Bolt network, so returning shoppers skip the forms. Bolt account holders convert 50% better than guest shoppers, based on Bolt internal tests and data. Bolt runs on Shopify (through Bolt's hosted checkout), Salesforce Commerce Cloud, Adobe Commerce, BigCommerce, WooCommerce and custom stacks via API / Embeddable Checkout, and works with Bolt Payments or your existing processor, including Stripe. Two Bolt customers ran tests on their own traffic:
- REVOLVE: 10% lift in checkout conversion and 4% higher revenue.
- FWRD: a 9.92% conversion lift in a mobile A/B test, November to December 2023. Read the FWRD case study.
These are results from two stores, not a benchmark, and your results will depend on your traffic. You can try the checkout yourself in the Bolt demo.
Bolt also offers a conversion guarantee: a 10–20% conversion rate lift, guaranteed. How it works: if you don't get the results you like, you can terminate at any time and get out of any lock-in contracts. It is not a money-back guarantee. Lift is measured as the change in your conversion rate with Bolt, on your store.
Methodology
- Every third-party figure was read on the source page on November 9, 2026. Figures are quoted as each source states them, with its own definition, sample and period. We did not combine, average or adjust any of them.
- Where a source doesn't state a sample size or date, the table says so.
- The IRP Commerce figure covers retailers in Great Britain, Northern Ireland and Ireland. It's included because its definition (transactions per session) is stated, not as a US figure.
- Littledata's checkout benchmark covers Shopify stores only.
- Bolt's own figures are customer results, not part of the benchmark table.
Sources (all read November 9, 2026):
- [S1] Statista, "Conversion rate of online shoppers worldwide from 3rd quarter 2025 to 3rd quarter 2026, by country and region," last updated Nov 6, 2026. https://www.statista.com/statistics/439576/online-shopper-conversion-rate-worldwide/
- [I1] IRP Commerce, eCommerce Market Data, September 2026 (conversion = transactions ÷ sessions). https://www.irpcommerce.com/en/gb/ecommercemarketdata.aspx
- [C1] Contentsquare, 2026 Digital Experience Benchmark, Conversions, published Mar 9, 2026. https://contentsquare.com/guides/digital-experience-benchmark/conversions/
- [L1] Littledata, Shopify benchmarks, checkout completion rate, 438 stores, Aug 3 – Oct 31, 2026 (generated Nov 4, 2026). https://www.littledata.io/benchmarks
- [B1] Baymard Institute, "Cart Abandonment Rate Statistics," updated Oct 28, 2026. https://baymard.com/lists/cart-abandonment-rate
- [B2] Baymard Institute, Checkout UX research and benchmark (no date stated on the page). https://baymard.com/research/checkout-usability
- [B3] Baymard Institute, Edward Scott, "Checkout flow average form fields," Jun 26, 2024. https://baymard.com/blog/checkout-flow-average-form-fields
- [A1] Adobe, "Holiday Shopping Season Drove a Record $257.8 Billion Online," released Jan 7, 2026 (the PDF's dateline misprints the year as 2025). https://news.adobe.com/news/downloads/pdfs/2026/01/010726-2025-holiday-shopping-season.pdf
- [F1] Salesforce, Cyber Week 2025 press release, Dec 5, 2025. https://www.salesforce.com/news/press-releases/2025/12/05/cyber-week-ai-agents-sales/
FAQ
What is a good checkout conversion rate?
It depends on the definition. For checkout completion (orders divided by sessions that start checkout), Littledata's Aug–Oct 2026 data from 438 Shopify stores shows a 47% median, 65% for the top 20% and 73% for the top 10%. No public source reports this rate for enterprise brands separately.
What is a good checkout conversion rate for an enterprise brand?
No public source publishes one. Statista, IRP Commerce and Contentsquare report all-site averages, and Littledata's checkout benchmark covers Shopify stores. Enterprise teams should track their own checkout completion rate by device and by new versus returning shoppers, and test changes against a control.
How do you calculate checkout conversion rate?
Divide orders by the number of sessions that started checkout, then multiply by 100. Site conversion rate uses all sessions (or visitors) instead. Keep one definition across periods, and report desktop and mobile separately.
Is a 20% conversion rate good?
As a site conversion rate, 20% would be far above published averages, such as Statista's 1.6% (Q3 2026) and IRP Commerce's 1.97% (September 2026). As a checkout completion rate, 20% would be far below Littledata's 47% median.
What is the average cart abandonment rate?
Baymard Institute puts it at 70.22%, the average of 50 studies published between 2006 and 2025 (page updated October 28, 2026). Extra costs, slow delivery and forced account creation are among the top reasons US shoppers give.
Why is mobile checkout conversion lower than desktop?
Contentsquare's 2026 benchmark found desktop conversion 74% higher than mobile across 6,000+ sites, even though most US online transactions now happen on smartphones (56.4% in Adobe's 2025 holiday data). Long forms and retyping card and address details are harder on a phone.
Talk to Bolt
See how one-click checkout would measure on your store. Talk to sales or see the checkout demo.
Going deeper: Shopping cart abandonment statistics by industry · What is a good ecommerce conversion rate? · One-click checkout providers
Bolt is not affiliated with or endorsed by the companies named in this article.