Cart Abandonment Benchmarks

Metricuno
May 17, 2026
5 min read
Cart Abandonment Benchmarks — Cart abandonment benchmarks by industry and device: apparel, beauty, electronics, and home goods. See where your checkout drop-off sits vs. the DTC median.
Quick answer

Cart abandonment rates sit between 60% and 80% across most online stores. Here's how the number breaks down by vertical, device, and order-value tier — plus how to read your own.

Definition
Conversion benchmarks

Cart Abandonment Benchmarks

Cart abandonment rate is the share of shoppers who add to cart but leave without buying — typically 60-80% across online retail.

Cart abandonment rate measures the percentage of carts that are created but never converted into a completed order. Across direct-to-consumer retail it consistently sits between 60% and 80%, with mobile traffic pulling the average up and high-intent verticals like beauty replenishment pulling it down.

The benchmark matters because abandoned-cart recovery is one of the highest-ROI levers in any checkout funnel. A store running at 78% has roughly twice the recoverable revenue of a store at 56%, even if both have identical traffic and AOV. Reading your number against the right segment — not the overall average — is what makes the comparison useful.

Also known as
Checkout abandonment rate
Cart drop-off rate

The most-cited figure — Baymard's rolling 70.19% average across 49 studies — is a useful anchor but a poor target. It blends desktop with mobile, low-AOV impulse buys with €300 considered purchases, and stores with one-click checkout against stores requiring account creation. Your benchmark is the one for your vertical, device mix, and order-value band.

Two numbers to compute before comparing: your true cart abandonment rate (carts created ÷ orders placed, not sessions) and your checkout abandonment rate (checkouts initiated ÷ orders placed). The first captures intent friction; the second isolates payment, shipping, and form friction. They tell very different stories.

Benchmark

Cart abandonment rate by vertical and device (online retail, 2024)

VerticalDesktopMobileBlended
Apparel & fashion68%78%74%
Beauty & personal care62%72%68%
Consumer electronics72%82%78%
Home & furniture76%84%81%
Food & beverage (DTC)58%68%64%
Health & supplements60%70%66%
Jewellery & accessories74%83%79%
Pet supplies61%71%67%

Three patterns to notice. Mobile is always 8-12 points worse than desktop — small screens, autofill failures, and mid-session interruptions compound. Higher-AOV verticals (furniture, electronics, jewellery) abandon more because the decision genuinely takes longer. Replenishment-heavy categories (food, beauty, supplements) sit lowest because shoppers arrive with intent already formed.

Chart

Mobile vs desktop cart abandonment by vertical

0%20%40%60%80%100%Food & bevHealthBeautyApparelElectronicsJewelleryHomeAbandonment rateVertical

Desktop

Mobile

How to read your number

Start by matching the right row. A Shopify apparel store running 73% blended is sitting at the vertical median — fine, not exceptional. The same 73% on a beauty replenishment store is a five-point red flag suggesting checkout friction or a paid-traffic mix that's pulling in lower-intent shoppers.

Then segment your own data the same way the benchmark does. Split by device first (the single biggest driver), then by traffic source — paid social typically abandons 10-15 points higher than email or direct because intent is lower. If your paid-social cart rate is closer to the blended average, that's actually a strong signal.

Anything under 50% deserves a closer look

A reported rate below 50% usually means the metric is wrong, not that the store is exceptional. Common causes: counting only checkout-initiated sessions as carts, double-counting completed orders, or filtering out abandoned-cart-flow recoveries from the denominator. Audit the definition before celebrating.

Why the gap exists between leaders and laggards

The five-to-eight point gap between a vertical's median and its top quartile almost always comes from the same handful of issues. Surprise shipping costs at checkout is the single largest contributor — Baymard puts it at 48% of abandonments. Forced account creation, slow page loads on the payment step, and limited payment methods (no Apple Pay, no Klarna, no local options) follow.

Top-quartile stores share a common pattern: shipping is shown on the product page or cart drawer, guest checkout is the default, the checkout loads in under 2 seconds on 4G, and there are at least three express payment options above the form. Fix those four and you typically move 4-7 points — which on a €5M store at €80 AOV is €200k-€350k in recovered annual revenue.

Frequently asked

Cart abandonment benchmark FAQs

For most online stores, anything under your vertical's median is good and anything in the top quartile (typically 5-8 points below median) is excellent. A blended rate under 60% is genuinely strong for fashion or electronics; for beauty replenishment it's table stakes.

The most-cited cross-industry average is 70.19% (Baymard, rolling 49-study average). Online retail typically sits between 65% and 75% blended, with mobile around 75-80% and desktop around 65-70%.

Three reasons compound. Sessions are interrupted more often (a notification, a child, a commute ending). Form-filling is slower and autofill fails more frequently. And mobile attracts more top-of-funnel browsing intent, especially from paid social. Expect 8-12 points higher than desktop in almost every vertical.

The standard formula is 1 − (completed orders ÷ carts created). Make sure 'carts created' counts unique carts, not add-to-cart events, and that you're not double-counting orders recovered via abandoned-cart email flows. Track checkout abandonment separately — it's a cleaner signal of checkout friction.

Cart abandonment measures everyone who adds to cart but doesn't buy. Checkout abandonment narrows to people who started the checkout flow but didn't finish. The first reflects price, shipping, and product-page friction; the second isolates form, payment, and trust friction on the checkout itself.

Shopify's native 'Abandoned checkouts' report only counts shoppers who reached the checkout step with an email captured — it under-reports total cart abandonment by 20-40%. For a true cart abandonment rate, use add-to-cart events from your analytics layer as the denominator, not Shopify's abandoned checkout count.

On a store doing €5M annual revenue at 75% abandonment, dropping to 70% is roughly a 20% lift in completed orders from existing cart traffic — about €1M in incremental revenue before factoring in higher-intent traffic effects. Even 2-3 points is usually six figures.

Only as a sanity check. Baymard's number blends every vertical, device, and AOV band into one figure, so it's too coarse for decision-making. Use it to know roughly where you stand, then compare against your vertical-and-device row in a segmented benchmark.

Unexpected costs at checkout — primarily shipping — drive about 48% of abandonments according to Baymard. Forced account creation, complicated checkout flows, and limited payment options round out the top four. Surface shipping costs as early as the product page to compress that loss.

Give checkout changes at least 14 days and 2,000+ sessions per device before reading the new rate — cart abandonment is noisy week-to-week. For seasonal verticals (gifting, fashion), compare year-over-year rather than month-over-month to avoid mixing intent levels.

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