Cosmetics

Cosmetics coupon usage fell to 0.90x in May, the sharpest single-month decline in the dataset

In April, Cosmetics coupon usage had ticked back up to 1.06x, raising the question of whether the sixteen-month normalization from the December 2024 peak of 1.51x had stalled. May answered that question decisively: coupon usage dropped to 0.90x, a 16-point fall in a single month and the largest single-month decline the Cosmetics coupon series has produced. The vertical is now 10 points below baseline on coupon engagement for the first time since this dataset began.

The April uptick was almost certainly a seasonal promotional blip -- spring collection launches and Earth Month campaigns -- and May's sharp reversal confirms it. The more durable trend is the one that has been running since December 2024: Cosmetics brands are systematically reducing code-based promotional dependency, and buyers are adjusting. A vertical that was running 51 points above baseline on coupon usage seventeen months ago is now running 10 points below it. That's a complete behavioral reset at the category level.

What to do: If your Cosmetics coupon usage fell in May and your conversion held at or near 1.00x, you've confirmed what the vertical-level data suggests: your buyers don't need the discount to complete. The next question is what's replacing the value signal at checkout. Free shipping at a well-set threshold, a loyalty point acknowledgment, and a visible return policy are the mechanics that sustain conversion without the margin cost of a blanket code. Audit what a buyer sees between cart and payment, and make sure at least two of those signals are present.

Cosmetics AOV ticked up to 1.11x in May, its highest reading since September 2024

Cosmetics AOV has been on a quiet but consistent recovery since bottoming out at 0.94x in January 2025. May's reading of 1.11x is the highest the vertical has posted in twenty months, and it arrives in a month where coupon usage collapsed to 0.90x. Those two signals moving in opposite directions simultaneously -- AOV up, coupon engagement down -- are the clearest possible evidence that the category's basket growth is organic rather than promotion-driven.

The mechanism is attachment purchasing, the same driver that has underpinned Cosmetics AOV recovery for the past six months. May is a natural attachment moment in this category: summer skincare routines differ from winter ones, buyers are adding SPF, lighter serums, and setting products to routines built around different textures and coverage. The brands capturing AOV growth in May are the ones whose checkout surfaces those routine transitions -- a "switch to your summer routine" framing for complementary products rather than a generic cross-sell.

What to do: If your Cosmetics AOV is below the vertical's 1.11x reading, check whether your cross-sell and upsell logic is seasonally relevant. A recommendation engine that doesn't adjust for seasonal product affinity is leaving AOV on the table in a category where buyers are highly attentive to formulation and use-case fit. May and June are when summer skincare transitions drive attachment purchasing. A "for summer" framing on the right complementary product at checkout will outperform a generic recommendation by a meaningful margin.

Free shipping rate reached 1.04x in May, its highest reading in the dataset. The category has crossed a structural threshold.

Cosmetics free shipping rate hit 1.04x in May, crossing above baseline for the third consecutive month and reaching its highest point in the dataset. The trajectory since the December 2024 low of 0.63x has been one of the most consistent upward runs in any metric across any vertical tracked here: sixteen months of almost uninterrupted free shipping expansion.

The context matters for interpreting this milestone. Cosmetics brands have been replacing code-based value with free shipping at threshold as the primary checkout value signal, and May's data confirms that shift is now structurally embedded. A free shipping rate at 1.04x alongside coupon usage at 0.90x means the category has done the full rebalancing: less discount dependency, more shipping-based value delivery. The conversion data at 1.00x baseline suggests this equilibrium is broadly stable.

The risk worth monitoring is threshold creep in the wrong direction. A 1.04x free shipping rate is only healthy if the threshold is set above current AOV and doing the work of stretching the basket. If brands have achieved 1.04x by setting thresholds at or below where buyers are already landing, the free shipping is providing value without generating it.

What to do: With free shipping rate at a dataset high, this is the moment to stress-test your threshold. Calculate what percentage of your May orders qualified for free shipping versus the percentage that were just below the threshold. If fewer than 15% of orders were within $10 of your threshold, it's set too low -- buyers are qualifying without being stretched. Move it up by 10% and add a progress bar. You'll maintain the free shipping rate while getting the AOV lift the threshold should be generating.