Checkout Benchmarks
Checkout completion benchmarks by industry and device, with bands for interpreting whether your number signals friction — or over-streamlining that's skipping trust cues.
Checkout Benchmarks
Reference ranges for the share of shoppers who complete checkout after starting it, segmented by industry and device.
Checkout benchmarks describe how many shoppers finish paying once they've entered the checkout flow — not the full site-wide conversion rate, but the narrower funnel from 'started checkout' to 'order placed'. Typical completion rates land between 40% and 75% depending on vertical, device, and average order value.
Reading the band matters as much as the number. A rate well below the industry range usually flags concrete friction: forced account creation, surprise shipping costs, payment-method gaps, or slow page loads. A rate well above the range can be a warning too — checkout may be so stripped down that it skips the trust signals (badges, reviews, clear returns) that help higher-AOV or first-time shoppers commit.
Before comparing your number to anything public, make sure you're measuring the same thing. Checkout completion rate is started_checkout → purchase, not session → purchase. GA4's default funnel mixes those two unless you build a proper checkout-scoped exploration.
The other definitional trap: 'started checkout' fires at different points on different platforms. Shopify counts it when the customer reaches the contact-information step; WooCommerce typically fires it on the cart-to-checkout transition. A 5-10 point gap between two stores can be measurement, not performance.
Checkout completion rate by industry and device (started checkout → order placed)
| Industry | Desktop | Mobile | Combined |
|---|---|---|---|
| Apparel & accessories | 68% | 54% | 59% |
| Beauty & personal care | 72% | 61% | 65% |
| Health & supplements | 65% | 52% | 57% |
| Home & furniture | 58% | 42% | 48% |
| Electronics & accessories | 62% | 47% | 53% |
| Food & beverage (DTC) | 74% | 63% | 67% |
| Jewelry & watches | 55% | 39% | 45% |
| Pet supplies | 70% | 58% | 63% |
The desktop-to-mobile gap is the single most consistent finding. On average, mobile completion sits 12-16 percentage points below desktop in the same store — driven by typing friction, smaller payment-method buttons, and harder-to-spot error states. If your gap is wider than 20 points, mobile checkout is the highest-leverage place to test.
Checkout completion: desktop vs mobile, by vertical
Desktop
Mobile
Interpreting your number against the band
Treat the table as three bands per industry, not a single target. Roughly: bottom quartile is 'friction'; middle 50% is 'normal — incremental gains'; top quartile is 'investigate, then defend'. For apparel mobile at 54% median, anything under ~46% is the friction band, 46-62% is normal, and over ~62% deserves a second look.
Why a second look at the top end? Some high-completion stores have engineered checkout for repeat buyers — one-page, Shop Pay default, no upsells, no reassurance copy — which works when 70%+ of orders are returning customers but hurts new-customer commit rate. Segment your completion rate by new vs returning before celebrating a 75% blended number.
An above-band rate can hide a problem
If your checkout completion is 8+ points above the industry median but your new-customer share is dropping, the funnel is probably leaking earlier — high-intent shoppers convert, but the store isn't recruiting enough first-timers into checkout in the first place. Check sessions-to-checkout-start, not just checkout-start-to-order.
What moves checkout completion the most
The recurring high-impact levers across stores in this revenue band are: showing the final delivered price before the payment step, offering at least one express wallet (Shop Pay, Apple Pay, Google Pay), removing the mandatory account-creation step, and surfacing returns policy on the payment page itself. Each one tends to move mobile completion 2-5 points in isolation.
These are diagnostic patterns, not a checklist to ship blind. The point of comparing against checkout benchmarks is to know which lever your store actually needs — a jewelry store with low completion almost always needs more trust signals; an apparel store with the same gap usually needs fewer form fields. The wider checkout optimization workflow connects the benchmark to the right test.
Checkout benchmark FAQ
Conversion rate measures sessions that end in a purchase, across the whole site. Checkout completion rate measures only the narrower funnel from 'started checkout' to 'order placed'. A store can have a healthy 65% checkout completion rate and still have a 1.8% site-wide conversion rate if most visitors never reach checkout.
Build an exploration funnel with begin_checkout as step one and purchase as step two, scoped to the same session. The default GA4 conversion rate report won't give you this — it shows session-to-purchase. On Shopify you can also pull the number directly from the Analytics → Online store conversion over time report.
Mobile loses 12-16 points on average across the industries above. Typing friction, small tap targets, payment-form re-renders on keyboard open, and harder-to-spot validation errors are the usual culprits. Express wallets (Apple Pay, Shop Pay, Google Pay) close most of the gap because they remove the typing entirely.
Not always. One-page tends to win on mobile and for repeat buyers because it reduces taps. Multi-step can win on desktop for high-AOV categories (jewelry, furniture) where shoppers want reassurance between entering personal info and entering payment. Test it against your own AOV distribution, not against a blanket claim.
Shopify's own data and most stores we see in this revenue band show a 5-10 point lift on completion rate for the subset of sessions that use Shop Pay, primarily because there's no typing. The lift on overall completion depends on Shop Pay's share of attempted checkouts — if only 15% of shoppers use it, blended impact is smaller.
Both, in that order. Your own trend tells you if something broke (a payment provider, a theme update, a new checkout extension). The industry band tells you whether the ceiling you're hitting is normal or whether there's still room. Stores that only watch their own number tend to plateau at a comfortable middle of the band.
Inversely, and strongly. Categories with sub-€50 AOV (food, beauty samples, pet consumables) consistently sit in the high 60s and 70s because the financial commitment is low. High-AOV categories (jewelry, furniture, electronics) sit in the 40s and 50s because shoppers comparison-shop and abandon to think it over. Don't compare a furniture store to a beauty store.
Aim for the top of your industry's band on the device that matters most to you. For an apparel store that's ~60% combined and ~62% mobile. Setting a single global target like '70%' across the store usually means either the desktop number is being pulled along by a healthy mobile, or you've over-streamlined and lost new-customer trust.
Quarterly is enough for the comparison itself — the bands move slowly. But re-pull your own number monthly, segmented by device and new-vs-returning, so you spot regressions early. A new checkout app, a Shopify checkout extension, or a payment-provider change can drop completion 5+ points overnight.
Sometimes. Post-purchase upsells (after the order is confirmed) don't affect completion at all. In-checkout upsells before the pay button do — typical drag is 1-3 points. The trade is usually worth it if AOV lift is meaningful, but measure both metrics together rather than celebrating AOV alone.
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