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: April 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.
April 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 just crossed 1.50x baseline, a new series high and the third consecutive monthly record
February was 1.44x. Then 1.47x. Now 1.50x. Apparel AOV has broken its own record three months in a row, and the trajectory shows no sign of plateauing. This is no longer a post-holiday blip or a promotional anomaly. It is a structural shift in how Apparel buyers are building their baskets, and operators who haven't repositioned their checkout experience to match it are leaving measurable revenue behind.
The mechanism hasn't changed: Apparel buyers are shopping outfits, not items. They arrive at checkout having made the styling decision elsewhere, and they're completing transactions at higher per-session value than at any point in this dataset. ARPC followed the same pattern, reaching 1.47x in March, its own series high. Both metrics moving together confirms this isn't just a pricing story. Buyers are adding more units, and the checkout experience of the brands capturing that lift has made it easy for them to do so.
What to do: If your free shipping threshold was set six months ago, it's almost certainly below where your buyers are now landing. A threshold that sat 10% above AOV in September is now at or below March's reading. Recalculate, adjust, and add a progress bar to close the gap. At 1.50x AOV, even a modest stretch of 8 to 12% on a meaningful share of sessions compounds into significant incremental revenue.
Conversion is flat for the fifth consecutive month, and the gap it's creating is getting harder to ignore
Apparel conversion came in at 0.99x for March, the same reading it posted in February, January, and most of the prior quarter. The vertical has been locked in a narrow band fractionally below baseline for five months while AOV and ARPC have been hitting record after record.
The math on this divergence is uncomfortable. When basket size is growing at its fastest pace in the dataset but conversion is stuck below baseline, the revenue you're generating is coming from a narrower set of buyers than it should be. You're leaving transactions on the table at exactly the moment when the buyers who do complete are spending more than ever.
The friction pattern in Apparel hasn't changed. Shipping reveal and returns uncertainty are where buyers exit. What's changed is the cost of not fixing it. A vertical where AOV is 1.50x baseline and conversion is 0.99x is a vertical with a specific and solvable problem: buyers who arrive with high intent but encounter a checkout experience that doesn't meet the expectations set by the product and brand experience that preceded it.
What to do: Pull your checkout funnel step by step and identify where the drop rate is highest among sessions with two or more items in cart. These are the basket-builders driving your AOV gains, and they're the ones most sensitive to shipping friction. If the exit is at shipping reveal, your threshold is either too high or not communicated early enough in the flow. If it's post-shipping, check whether your returns policy is visible before the payment step.
Coupon usage has been declining for six months and is now approaching its lowest point in the dataset
Apparel coupon usage hit 0.86x in March, down from 0.90x in February and continuing a steady decline that began at the vertical's coupon peak of 1.20x in August 2025. That's a 34-point drop over six months, and the trend line is still moving in the same direction.
For most verticals, declining coupon usage would be worth a footnote. In Apparel, where promotional culture has historically been structural, it deserves more attention. The simplest read is that Apparel brands have been pulling back on discount-led acquisition and retention, which is healthy for margin. The more nuanced read is that buyers in this vertical are completing at 0.86x coupon engagement because they don't feel like they need a code to justify the purchase. At 1.50x AOV, that's a meaningful shift in buyer psychology.
The risk in this environment is not coupon dependency. It's the opposite: brands who have leaned so far away from promotional mechanics that they've removed any checkout-native value signal. A buyer spending $150 on an outfit who sees no free shipping progress bar, no return policy visibility, and no loyalty acknowledgment is a buyer who may be converting, but is doing so with less confidence than they should have.
What to do: As you pull back on code-based promotions, make sure you're replacing the value signal, not just removing it. Free shipping at a stretched threshold, a visible return window, and a loyalty point confirmation at checkout all do the same psychological work as a discount code without the margin cost. Audit what a buyer sees between cart and payment, and ask whether the trust signals are there even when the promo field is empty.
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 checkout behavior has shifted over time, to validate whether seasonal patterns in your own data match the vertical.
April 2026 {{latest}}
AOV reaches 1.50x, third consecutive series high; coupon usage continues six-month decline to 0.86x; conversion holds flat below baseline.
AOV hits 1.47x, another series high; ARPC follows to 1.47x; conversion stays locked at 0.99x for fourth consecutive month.
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.