Cosmetics
Indexed performance data for Cosmetics 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.
Cosmetics 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: Cosmetics Checkout Insights
Three signals worth acting on this month
Written for Cosmetics operators. Every observation connects to a decision you can make this week.
Cosmetics AOV held at 1.07x in April, its third consecutive month above baseline after a prolonged recovery
Cosmetics AOV came in at 1.07x in April, matching February's reading and just one point below March's 1.08x. The vertical has now held above 1.05x for three consecutive months -- its most sustained run above baseline since the September 2024 peak of 1.20x. That recovery matters because it follows eighteen months of contraction and volatility. The Cosmetics AOV floor appears to be in, and the category is producing consistent above-baseline basket sizes without the promotional support that characterized the 2024 highs.
The mechanism is attachment purchasing. Cosmetics AOV doesn't grow through larger single-item purchases. It grows when buyers add a complementary product to their primary purchase: a serum paired with a moisturizer, a setting spray with a foundation, a travel size alongside a full-size item. The brands sustaining AOV above baseline in this phase are the ones whose checkout surfaces those additions effectively -- at the right moment, with the right framing -- rather than defaulting to a bare order summary page.
What to do: If your Cosmetics AOV has been below 1.05x for the last three months while the vertical has been holding above it, the diagnosis starts at your post-cart experience. Are you surfacing a "complete the routine" or "frequently bought with" prompt before the payment step? Is it tied specifically to what's already in the cart, or is it generic? Generic cross-sell performs poorly in Cosmetics because the buyer is category-educated and will ignore recommendations that don't connect to their specific purchase logic. Cart-specific, routine-coherent suggestions are the lever.
Coupon usage ticked back up to 1.06x after reaching near-baseline in March. The normalization may have stalled.
Cosmetics coupon usage had been falling steadily from its December 2024 peak of 1.51x, reaching 1.02x in March -- its lowest reading since the dataset began. April's reading of 1.06x is a small reversal, four points back up. On its own that's not alarming. But the direction change coming immediately after the lowest reading in the dataset is worth watching closely.
The most plausible explanation is a spring promotional cycle. April is when Cosmetics brands launch new collections, run Earth Month campaigns, and activate influencer codes tied to warm-weather skincare and makeup routines. A vertical that has been pulling back on code mechanics for sixteen months will still have seasonal promotional moments, and April is one of them. If May normalizes back toward 1.02x, the March reading was the floor. If May continues the upward move, the promotional pullback cycle has reversed and brands are re-engaging discount mechanics more broadly.
The context that matters most here is whether the April coupon activity drove new buyer acquisition or discounted existing buyers. Cosmetics has a high repeat purchase rate, and the most common misuse of seasonal codes in this category is applying them to acquisition campaigns that primarily capture buyers who would have purchased anyway.
What to do: Separate your April coupon-attached orders by new versus returning buyer status. If more than 40% of code redemptions came from buyers with zero prior order history, your spring campaign is working as intended. If the split skews heavily toward returning buyers, you've given margin away on loyalty that didn't need the incentive. Adjust your May targeting accordingly before the spring campaign window closes.
Shipping revenue fell to 0.78x, continuing a seventeen-month decline. The free shipping rate held steady at 1.01x.
Cosmetics shipping revenue has been declining since July 2024, and April's reading of 0.78x extends that run to seventeen months. The free shipping rate held at 1.01x in April, roughly matching March, which suggests the shipping revenue decline in April is not being driven by further free shipping expansion -- the rate has stabilized near baseline. Instead, the revenue decline reflects the ongoing reality that Cosmetics buyers are completing at lower shipping revenue per session than they were a year ago, even without additional free shipping expansion.
The more likely driver is structural: Cosmetics AOV above baseline but shipping revenue below it means the category's buyers are spending more on product but less on shipping, a combination that points to threshold dynamics rather than buyer behavior change. Brands that have set free shipping thresholds below their current AOV are absorbing shipping cost on orders that have room to grow. The free shipping is triggering too early, before it has done the basket-stretching work it should be doing.
What to do: Map your free shipping threshold against your current AOV. If your threshold is at or below your April AOV, move it up and add a progress bar. The goal is a threshold that a meaningful share of your buyers are just below at the time they reach checkout, so the progress bar creates a genuine purchase decision: add one more item or pay for shipping. At 1.07x AOV and 1.01x free shipping rate, the Cosmetics vertical has the basket size to support a higher threshold without losing conversion -- it just needs the mechanics to close the gap.
How does your Cosmetics 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: Cosmetics
Every monthly dispatch, indexed and preserved. Use the archive to track how Cosmetics checkout behavior has shifted over time, to validate whether seasonal patterns in your own data match the vertical.
May 2026 {{latest}}
AOV holds at 1.07x for third consecutive above-baseline month; coupon usage ticks back up to 1.06x after March low; shipping revenue continues seventeen-month decline to 0.78x.
Coupon usage falls to 1.02x, lowest reading since baseline; free shipping rate crosses above baseline at 1.01x; shipping revenue hits series low at 0.79x.
AOV returns to 1.08x, highest reading since September 2024; free shipping rate nears baseline recovery; coupon usage pulls back but remains structurally elevated.
Data begins June 2024 (baseline). Earlier dispatches available on request.
Methodology
About this dataset
The Cosmetics dataset within the PDQ Checkout Benchmarks draws from aggregated, anonymized session data across cosmetics-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 Cosmetics cohort spans makeup, skincare, fragrance, haircare, and beauty tools 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.