Part ofPDP Optimization

Add-to-Cart Rate by Industry Benchmarks

Metricuno
November 1, 2026
6 min read
Add-to-Cart Rate by Industry Benchmarks — Add-to-cart rate by industry, device and region, from Dynamic Yield and Littledata data. See what a good ATC rate is for your vertical and how it predicts conversion.
Quick answer

Sourced add-to-cart rates for food and beverage (13.14%), beauty (10.14%), fashion (7.12%), luxury (3.23%) and other verticals, plus Shopify percentiles and mobile vs desktop splits. Also covers how add-to-cart rate turns into overall conversion.

Definition
Conversion benchmarks

Add-to-Cart Rate

Add-to-cart rate is the share of sessions (or product-page viewers) that add at least one item to the cart.

Add-to-cart (ATC) rate tells you how well your product pages turn browsing into buying intent. The usual formula is sessions with at least one add_to_cart event divided by total sessions. Some benchmark providers, including Dynamic Yield, count only visitors who viewed a product page, so check the denominator before you compare. It is the first micro-conversion in the purchase funnel, and it reacts to changes much faster than revenue. If ATC rate is low, the problem usually sits on the product page: price presentation, imagery, variant selection, delivery promise. If ATC rate is healthy but orders are not, the leak is in the cart or checkout.

Also known as
ATC rate
Cart conversion rate
Add-to-cart conversion rate

Across retail, the average add-to-cart rate sits at around 6%. Dynamic Yield's rolling benchmark puts the global average at 6.04% over a trailing 12-month window. Its November 2024 to mid-2025 series averaged 6.34%.

The vertical you sell in moves the number more than almost anything you change on site. Food and beverage stores regularly clear 13% because baskets are cheap and repeat buying is common. Luxury and jewelry rarely pass 3.5%. Compare against your own category first and the global average second.

Benchmark

Add-to-cart rate by industry (share of sessions with at least one add-to-cart)

VerticalATC rate, Nov 2024Trailing 12-month noteTypical buying cycle
Food and Beverage13.14%Best month of the year; low of 10.4% in Aug 2024Low consideration, replenishment
Beauty and Personal Care10.14%Highest 12-month average among verticals (9.6%)Low to medium, repeat SKUs
Fashion, Accessories and Apparel7.12%Peaked at 7.69% in Dec 2023Medium, size and fit anxiety
Consumer Goods5.98%Up 0.65 pp month on monthMedium
Home and Furniture4.36%Long research cycles, high AOVHigh consideration
Luxury and Jewelry3.23%Lowest 12-month average (1.7%)Very high consideration
All retail (global)7.46% (Nov peak)6.04% to 6.34% annual averagen/a
Source: Dynamic Yield by Mastercard benchmarks, November 2024 (as reported by Oberlo, Dec 2024); trailing-12-month figures from the Dynamic Yield benchmark page, 2025.

November figures come from the peak-season month. The global rate reached 7.46% in November 2024 and dropped to 5.85% by July 2025. When you benchmark a summer month against the table, take roughly 1 to 1.5 points off. A fashion store adding to cart at 6% in July is in line with its peers, not behind them.

Chart

Add-to-cart rate by device (global retail)

0%1%2%3%4%5%6%7%MobileTabletDesktopAdd-to-cart rateDevice
Source: Dynamic Yield by Mastercard add-to-cart benchmark, trailing 12 months (accessed 2025).

Mobile wins at the add-to-cart step and loses at checkout. In Dynamic Yield's data, mobile visitors add to cart at 6.33% against 5.03% on desktop. Smart Insights' 2025 analysis of the same 2024 dataset finds desktop converts to an order about 1.7x better than smartphone, because many mobile shoppers save items to the cart and never complete the purchase.

Definitions change the picture. DRIP Agency's GA4 dataset of 117 European brands and 486 million sessions measures the step differently and reports 38.0% on desktop against 31.4% on mobile. The two sources share one finding: the bigger device gap is at checkout. Mobile checkout abandonment was 62.4% against 50.5% on desktop.

Benchmark

Add-to-cart rate by region

RegionATC ratevs global average (6.04%)
EMEA6.40%+0.36 pp
Americas5.99%-0.05 pp
APAC3.46%-2.58 pp
Source: Dynamic Yield by Mastercard add-to-cart benchmark, trailing 12 months (accessed 2025).

Shopify add-to-cart benchmarks and percentiles

Cross-platform benchmarks lean towards large enterprise retailers with strong brand demand. Shopify-only data runs lower. In Littledata's dataset of about 2,800 Shopify stores (2023), the average add-to-cart rate is 4.6%. Above 7.5% puts a store in the top 20%, and above 9.6% puts it in the top 10%.

The same Littledata funnel gives 45% checkout completion and a 1.4% session-to-order conversion rate. That means about 30% of Shopify sessions that add to cart end in an order (1.4 divided by 4.6). That ratio connects ATC rate to the conversion rate you report to finance.

Benchmark

Shopify funnel benchmarks: where add-to-cart sits

Funnel metricAverageTop 20%Top 10%
Sessions that add to cart4.6%7.5%+9.6%+
Checkout completion45%n/an/a
Session-to-order conversion1.4%n/an/a
Implied cart-to-order rateabout 30%n/an/a
Global cart abandonment (all platforms)70.19%n/an/a
Source: Littledata Shopify benchmarks, 2,800-store dataset (2023); cart abandonment from Baymard Institute, 2024.

Conversion rate is roughly ATC rate x cart-to-order rate

Take an apparel store on Shopify adding to cart at the 7.12% fashion benchmark. At Littledata's implied 30% cart-to-order rate, it would convert at about 2.1%. Lifting ATC to 8% while cart-to-order stays at 30% gets you about 2.4%, roughly 13% more orders from the same traffic. A 2-point ATC gain only shows up in revenue if checkout holds. Track both rates side by side, not just the headline conversion rate.

What moves add-to-cart rate and what good looks like

Product mix and price are the main drivers of add-to-cart rate. After those, the levers sit on the product page: image quality and count, size and variant selection, a visible delivery date and returns promise, reviews near the button, and a sticky add-to-cart bar on mobile. These are the core of PDP optimization, and most of them can be tested without a developer.

Traffic quality matters as much as page quality. Paid social prospecting traffic often adds to cart at half the rate of email or branded search. Segment ATC rate by channel before deciding your PDP is broken. A new Meta campaign can drag the blended rate down while every product page performs exactly as before.

Aim for your vertical's benchmark, adjusted for season, as the floor. Use the Shopify top-20% line (7.5%) as the stretch target if you sell fashion, beauty or consumables. Home and luxury stores should benchmark within their category and pay more attention to cart-to-order rate, where high order values make each recovered cart worth more.

Don't chase ATC rate at the expense of orders

Tactics that make adding to cart easier, such as quick-add on collection pages, auto-added free gifts or one-tap add without picking a variant, can raise ATC rate while cart abandonment climbs. Make completed orders per session your primary A/B test metric and keep ATC rate as a diagnostic metric.

Frequently asked

Add-to-cart rate benchmarks: FAQ

Across all retail, about 6% is average: 6.04% globally in Dynamic Yield's trailing 12-month data. On Shopify, Littledata puts the average at 4.6%, with 7.5% marking the top 20% and 9.6% the top 10%. What counts as good depends heavily on your vertical.

Food and beverage, at 13.14% in November 2024 (Dynamic Yield), followed by beauty and personal care at 10.14%. Both sell low-price, frequently repurchased products that need little consideration.

Luxury and jewelry, at 3.23% in November 2024 and as low as 1.7% on a trailing 12-month basis. Long consideration cycles and high prices mean shoppers browse a lot before they commit.

Mobile is usually higher at the add-to-cart step: 6.33% against 5.03% on desktop in Dynamic Yield's data. Desktop still converts to orders about 1.7x better, because mobile shoppers often use the cart as a wishlist and drop out at checkout.

Divide sessions with at least one add_to_cart event by total sessions, then multiply by 100. Some tools divide by product-page sessions instead, which produces a higher figure. Use one definition consistently and note which one a benchmark uses before comparing.

Conversion rate is roughly ATC rate multiplied by cart-to-order rate. Littledata's Shopify averages (4.6% ATC, 1.4% conversion) imply that about 30% of sessions that add to cart end in an order. If ATC rate is healthy but conversion is weak, look at the cart and checkout before the product page.

Your shoppers are showing intent and then leaving at the cart or checkout. Common causes are unexpected shipping costs, forced account creation, slow mobile checkout and missing payment methods. Global cart abandonment is 70.19% (Baymard, 2024), so check checkout completion against Littledata's 45% Shopify benchmark.

Start with PDP optimization. Test better product imagery, a sticky mobile add-to-cart button, clearer size or variant selection, delivery-date messaging and reviews placed close to the button. Check results per traffic channel so a shift in channel mix doesn't hide a real lift.

Yes. The global rate peaked at 7.46% in November 2024 and fell to 5.85% in July 2025. Compare against the same month last year or a seasonally adjusted benchmark, not a single annual average.

GA4 records add_to_cart as a recommended e-commerce event, and most Shopify, WooCommerce and Magento integrations send it automatically. Build a funnel exploration from session_start to add_to_cart to purchase, then break it down by device and channel to compare against the benchmarks above.

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