Apparel & Fashion
Indexed performance data for Apparel & Fashion brands on Shopify: conversion rate, AOV, free shipping behavior, and shipping revenue, tracked against a consistent baseline month over month.
Part of the PDQ Checkout Benchmarks: 130M+ checkout sessions across 500+ Shopify merchants, indexed to June 2024 = 1.0x.
Apparel & Fashion Checkout Performance Index: June 2026
An index of 1.15x means that metric is 15% above baseline. 0.92x means it's 8% below. We publish relative change rather than absolute numbers because absolute rates vary too much by merchant size and category to be meaningful as cross-merchant benchmarks.
June 2026: Apparel & Fashion Checkout Insights
Three signals worth acting on this month
Written for Apparel & Fashion operators. Every observation connects to a decision you can make this week.
Apparel AOV held at 1.44x in May, sustaining five consecutive months above that level
May's AOV reading of 1.44x is the fifth consecutive month Apparel has held at or above this level, a run that began in January 2026 and has shown no sign of breaking. ARPC came in at 1.46x, just below April's 1.50x series high but still well above anything the vertical produced in the prior eighteen months of this dataset. The basket-building behavior that defined Q1 has carried through spring without the seasonal compression that typically follows.
What's notable is the resilience. May is typically when Apparel shifts from outfit-building to individual summer item purchases, a transition that historically compresses AOV as buyers shop for standalone pieces rather than layered looks. That compression didn't materialize in May. The brands sustaining this run share a common checkout architecture: a free shipping threshold set above current AOV, a progress bar that surfaces the gap to buyers, and complementary product suggestions that make adding a second item feel like a routine decision rather than an upsell.
What to do: Five months above 1.44x is a structural shift, not a streak. If your free shipping threshold hasn't been updated since Q4 2025, it's almost certainly below where your buyers are landing. A threshold set 10 to 15% above your current AOV, paired with a visible progress bar, will continue to do the work that has driven this vertical's basket-size performance. The buyers are there. The checkout just needs to keep asking.
Coupon usage jumped to 0.99x in May, the largest single-month gain in the Apparel dataset and nearly back to baseline after eight months of decline
Apparel coupon usage had been falling without interruption since August 2025, moving from a peak of 1.20x down to a floor of 0.86x in March. April ticked up slightly to 0.90x. May came in at 0.99x -- a 9-point jump that is by far the largest single-month gain in the Apparel coupon series. The vertical is now one point away from baseline coupon engagement after eight months of steady promotional pullback.
The timing points clearly to a Memorial Day effect. Apparel is one of the categories most likely to run aggressive code-based promotions around the Memorial Day weekend, and May's data captures the full month impact of those campaigns. The question for operators is whether the Memorial Day codes drove net-new buyer acquisition or discounted existing buyers who were going to purchase anyway. A month where AOV held at 1.44x alongside a coupon usage spike to 0.99x is a month where some buyers got a discount on a basket they were already building at full price.
What to do: Pull your May coupon-attached orders and split them by new versus returning buyer status. If more than 50% of code redemptions came from buyers with prior order history, your Memorial Day campaign subsidized loyalty at margin cost. Before running the same mechanic in June or July, model what a loyalty-specific code -- available only to buyers with two or more prior purchases -- would produce versus a blanket site-wide offer. The basket is there. The margin doesn't need to leave with it.
Conversion held at 1.02x for the second consecutive month, confirming the recovery from five months of sub-baseline performance
Apparel conversion came in at 1.02x in May, matching April's reading exactly. Two consecutive months above baseline -- the first back-to-back above-baseline readings since September and October 2024 -- is the confirmation that April's recovery wasn't a one-month artifact. The vertical has genuinely broken out of the flat 0.99x band it occupied from November 2025 through March 2026.
The conversion recovery is happening alongside, not because of, the AOV strength. These are separate signals. AOV is driven by basket composition -- what buyers put in the cart before they reach checkout. Conversion is driven by checkout experience -- what happens between cart and payment confirmation. The fact that both are improving simultaneously suggests the brands performing well in May have the full picture right: high-intent buyers building large baskets, meeting a checkout experience that doesn't introduce friction between them and completing.
What to do: If your conversion recovered in April and held in May, identify the configuration that enabled it and protect it through summer. June and July bring a different buyer mix -- more tourist traffic, more gifting, more one-time purchasers -- and the checkout experience that converts a loyal repeat buyer may need adjustment to capture the summer occasional buyer. Specifically, make sure your returns policy and delivery date certainty are visible before the payment step. These are the signals that convert buyers who are less familiar with your brand.
How does your Apparel store's checkout compare?
Checkout Index tells you where your store sits inside this vertical: personalized Health Score, shipping signal analysis, and a revenue impact estimate based on your actual checkout behavior.
Archive
Monthly archive: Apparel & Fashion
Every monthly dispatch, indexed and preserved. Use the archive to track how Apparel & Fashion checkout behavior has shifted over time, to validate whether seasonal patterns in your own data match the vertical.
June 2026 {{latest}}
AOV holds at 1.44x for fifth consecutive month above that level; coupon usage spikes to 0.99x, largest single-month gain in the series; conversion holds at 1.02x for second consecutive month.
AOV holds at 1.49x, sustaining the four-month series high; ARPC reaches 1.50x; conversion recovers to 1.02x, first above-baseline reading since October 2024.
AOV reaches 1.50x, third consecutive series high; coupon usage continues six-month decline to 0.86x; conversion holds flat at 0.99x.
Data begins June 2024 (baseline). Earlier dispatches available on request.
Methodology
About this dataset
The Apparel & Fashion dataset within the PDQ Checkout Benchmarks draws from aggregated, anonymized session data across apparel-categorized merchants on Shopify's platform. Merchants are classified using Shopify's standard industry taxonomy and must meet a minimum session threshold for inclusion. The Apparel & Fashion cohort spans clothing, footwear, accessories, and fashion lifestyle categories.
All figures are indexed to June 2024 = 1.0x. Figures exclude bot traffic, draft orders, and point-of-sale transactions. Data refreshes monthly, typically in the first week, reflecting the prior month's activity. Absolute conversion rates are not published; all metrics represent relative indexed change against the baseline cohort.
To compare your store's actual performance against this vertical, use Checkout Index.
