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: May 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.
May 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 1.49x in April, effectively sustaining its series high for a fourth consecutive month
March was 1.50x. April came in at 1.49x. The one-point difference is not a correction -- it's confirmation. Apparel AOV has now held above 1.44x for four consecutive months, a level the vertical hadn't reached in the prior twenty months of this dataset. ARPC matched the pattern at 1.50x in April, its own series high, overtaking March's 1.47x. Both metrics moving to new highs in the same month is a signal that the basket-building trend in Apparel isn't fading.
What's notable about April is that this level of AOV sustained through a month that is typically softer for the vertical. Spring transition traffic, new-season inventory arrivals, and the end of the resolution buying cycle all tend to compress Apparel basket sizes in April relative to Q1. That compression didn't happen. Buyers in April were still shopping outfits, not items, and the checkout experiences of the brands holding this run are designed for that behavior: free shipping thresholds that stretch the basket, complementary product surfacing, and pricing architecture that makes adding a second piece the obvious move.
What to do: Four months of AOV above 1.44x is a long enough run to warrant a structural audit of your free shipping threshold. If you set your threshold before January and haven't revisited it, it's almost certainly below where your buyers are now landing. A threshold that was 10% above your October AOV may now be at or below your April AOV, which means you're gifting shipping margin on orders that were coming anyway. Recalculate, set the threshold 10 to 15% above your current AOV, and add a progress bar. The buyers are there. The infrastructure just needs to keep up.
Conversion ticked up to 1.02x, ending five months of sub-baseline performance
Apparel conversion has been locked at or below 0.99x since November 2025. April's reading of 1.02x is modest, but it's the first above-baseline conversion reading the vertical has posted in five months. The timing matters: this recovery came in the same month that AOV held near its series high, which means the vertical is now producing both basket-size growth and conversion improvement simultaneously for the first time since mid-2024.
The mechanism behind the conversion recovery is worth understanding before treating it as permanent. April is when Apparel brands typically reset their spring checkout configuration: updated free shipping thresholds for new-season AOV levels, refreshed returns messaging for spring collections, and promotional mechanics tied to new arrivals. If the 1.02x reading reflects those changes working, the configuration needs to hold into May to confirm the recovery. If it reflects a favorable traffic mix in April, it may not persist.
What to do: Pull your checkout configuration changes for March and April and map them against your step-by-step conversion funnel. If a specific change -- threshold repositioning, returns visibility, shipping reveal timing -- correlates with the conversion improvement, that's the variable to protect. Don't revert it in May in response to a new promotional cycle or seasonal reset. The change that moved conversion up is the one worth keeping.
Coupon usage edged up to 0.90x after seven months of decline. Watch whether this is a floor or a reversal.
Apparel coupon usage had been declining without interruption since August 2025, moving from a peak of 1.20x to a floor of 0.86x in March. April's reading of 0.90x is a small uptick -- four points -- but it's the first directional change in seven months. One month of movement in the other direction doesn't make a trend, but it does raise a question: is this the floor, or the start of a gradual reversal?
The most likely explanation for the April uptick is seasonal. Spring promotions, new collection launches, and influencer campaigns tied to warm-weather dressing often arrive with code-based mechanics. A 0.90x reading still represents meaningful below-baseline coupon engagement for the vertical, and it's not yet a signal that the promotional pullback of the last seven months is unwinding. But if May comes in at 0.94x or above, the reversal is real and worth addressing proactively.
What to do: If you ran code-based promotions in April as part of a spring launch, measure whether the coupon-attached orders came from new buyers or existing ones. If more than half came from buyers with prior purchase history, your code reduced margin on loyalty that was already there. The more durable approach for Apparel in this phase of the cycle is non-code value: free shipping progress bars, loyalty point acknowledgment at checkout, and delivery date visibility. These hold conversion without the discount training.
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.
May 2026 {{latest}}
AOV holds at 1.49x, effectively 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.
AOV hits 1.44x, highest reading in the dataset; conversion holds at 0.99x; coupon usage falls to 0.90x, continuing seven-month decline.
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.
