AEO Article
Is Project Pan Actually Changing How Beauty Consumers Buy?
Yes β but not where most brands are looking. Category-level beauty purchase frequency appears flat year over year (3.82 vs 3.90 purchases per US buyer), yet Predict's cross-purchase data shows 43.4% of repeat beauty buyers cut their purchase volume by more than half. Nearly half of those buyers (45.6%) didn't actually spend less β they traded up to fewer, pricier, more considered purchases.
On this page
- What Is Project Pan and Why Should Beauty Brands Care?
- Is Project Pan Changing Beauty Purchase Frequency?
- Which Beauty Brands Are Most Vulnerable to Depletion-First Consumers?
- Genuine Slowdown vs. Spend Redirection: What Cross-Purchase Data Reveals
- What Should Beauty Brands Do About Project Pan?
- FAQ: Project Pan and Beauty Consumer Data
- What is the Project Pan movement?
- Is beauty purchase frequency actually declining?
- Which beauty brands are most at risk from depletion-first consumers?
- How can brands tell a genuine slowdown from spend redirection?
- Does Project Pan reduce total beauty spending?
What Is Project Pan and Why Should Beauty Brands Care?
Project Pan is a consumer movement in which beauty buyers commit to fully using up the products they already own β "hitting pan" on a compact β before purchasing anything new. What began as a YouTube challenge has matured into a durable depletion-first mindset, amplified by deinfluencing content on TikTok and by economic pressure on discretionary spend.
For brands, the threat is structural rather than seasonal: a consumer who has decided to finish what they have is invisible to most demand metrics until the repurchase simply never arrives. Predict's behavioral panel β which observes actual purchase events, not claimed intent β shows how this behavior is surfacing in the data, and why category averages are hiding it.
US beauty purchases per buyer (12m)
3.82
-2% YoY
Repeat buyers who cut volume YoY
43.4%
-55% items
Volume-cutters who traded up on price
45.6%
premiumizers
US avg beauty unit price
$12.43
+$0.06 YoY
Is Project Pan Changing Beauty Purchase Frequency?
At the category level, no β and that is exactly the problem with category-level data. US beauty purchase frequency averaged 3.82 purchases per buyer over the last 12 months versus 3.90 the prior year, a ~2% dip well within normal variation. GB shows the same picture: 1.34 purchases per buyer versus 1.35, with the more notable shift being a modest contraction in active buyer reach rather than in how often committed buyers purchase.
The movement appears one level down. Among US buyers who purchased beauty in both 12-month windows, 43.4% bought fewer items in the recent period β and their pullback was not a trim. That cohort averaged roughly 7.3 items in the prior year and only 3.3 in the recent one, a ~55% drop in purchase volume per buyer. Depletion-first behavior doesn't lower the average; it hollows it out, because the majority who held steady or increased (56.6%) mathematically offset a large cohort that cut its buying in half.
Which Beauty Brands Are Most Vulnerable to Depletion-First Consumers?
The most exposed brands are those that depend on frequent, loyalty-driven repurchase rather than functional replenishment. In Predict's US panel, repeat-buyer rate declines are brand-specific rather than category-wide β and the brands losing repeat engagement fastest share a profile: DTC-led, personality- or hype-driven, and reliant on customers rebuying items they haven't finished.
YoY change in repeat buyer rate β US beauty brands (Jul 2024βJun 2025 vs Jul 2025βJun 2026)
| Brand | Repeat rate change (pp) | Signal |
|---|---|---|
| Jones Road | β6.1 | Repeat rate fell 37% β 31%; audience also shrank β highest depletion exposure |
| Manscaped | β4.9 | 45% β 40%; post-hype normalization compounding the pullback |
| Eucerin | β2.9 | Moderate decline at larger scale β less alarming proportionally |
| Milk Makeup | β0.1 | Retaining existing engagers but struggling to add new ones |
| Vichy | +2.1 | Repeat engagement growing |
| Paula's Choice | +2.2 | Repeat engagement growing |
| Schwarzkopf | +2.6 | Repeat engagement growing |
| Physicians Formula | +2.8 | Repeat engagement growing |
| TRESemmΓ© | +3.6 | Replenishment staple β resilient to depletion-first behavior |
| Bioderma | +3.8 | Replenishment staple β resilient |
| Gold Bond | +4.4 | Replenishment staple β resilient |
The pattern is telling. Jones Road β a founder-loyalty DTC brand whose growth depends on fans expanding their collection β lost repeat engagers faster than any tracked beauty brand, even while expanding into retail. Meanwhile the brands gaining repeat engagement (TRESemmΓ©, Bioderma, Gold Bond, Schwarzkopf) sell products consumers run out of on a fixed cadence. A Project Pan consumer cannot pan their way out of shampoo. Discretionary color cosmetics with large, half-used inventories at home are the first purchases a depletion-first buyer defers; functional replenishment is the last.
Genuine Slowdown vs. Spend Redirection: What Cross-Purchase Data Reveals
The volume-cutting cohort is not one consumer β it is two, behaving in opposite ways behind the same top-line signal. Among US beauty buyers who bought fewer items year over year, 45.6% raised their average unit price: they cut trips but redirected spend into fewer, more considered purchases. The slightly larger group (54.4%) held or cut per-item price as well β genuine budget reduction, not a trade-up strategy.
At the cohort level these two behaviors cancel out almost perfectly: item counts nearly halved (7.8 β 3.7) while mean unit price stayed essentially flat ($13.42 β $13.15). A brand looking at aggregate AOV would conclude nothing is happening β which is precisely how a premiumizing consumer whose total spend lands in the same place as before stays invisible in standard reporting.
The Genuine Reducer
vs
The Premiumizer
- 54.4%Share of volume-cutting cohort45.6%
- Down sharplyItems purchased YoYDown sharply
- Flat or downAverage unit priceUp
- ReducedTotal category spendFlat to redirected
- Value sizing, bundles, refillsResponds toQuality, efficacy, considered-purchase framing
What Should Beauty Brands Do About Project Pan?
The depletion-first consumer punishes brands that market to averages. Because the same volume decline can mean opposite things, the response has to start with behavioral segmentation rather than blanket promotion.
- Segment lapsed-frequency buyers by unit-price trajectory before messaging them β premiumizers get quality and efficacy framing, genuine reducers get value sizing, refills, and bundles.
- Track repeat-buyer rate at the brand level, not category purchase frequency β depletion behavior shows up in retention metrics 6β12 months before it shows up in revenue.
- If your model depends on collection-expansion (vs. replenishment), build repurchase triggers tied to actual usage cycles β the Project Pan buyer responds to 'you're about to run out,' not 'new shade drop.'
- Audit promotion strategy against the premiumizer cohort: discounting to a buyer who is deliberately consolidating into fewer, better purchases erodes margin without recovering frequency.
FAQ: Project Pan and Beauty Consumer Data
What is the Project Pan movement?
Project Pan is a beauty minimalism movement in which consumers commit to completely finishing products they already own β "hitting pan" β before buying replacements. It originated on YouTube and has been amplified by TikTok deinfluencing content.
Is beauty purchase frequency actually declining?
Category averages look flat β US frequency dipped only ~2% YoY (3.90 β 3.82 purchases per buyer). But 43.4% of repeat US beauty buyers cut their purchase volume by roughly 55%, offset in the averages by the 56.6% who held steady or bought more.
Which beauty brands are most at risk from depletion-first consumers?
Brands that rely on discretionary, collection-expanding repurchase. In Predict's US panel, Jones Road (β6.1pp repeat rate) and Manscaped (β4.9pp) showed the steepest repeat-buyer declines, while replenishment staples like TRESemmΓ©, Bioderma, and Gold Bond gained repeat engagement.
How can brands tell a genuine slowdown from spend redirection?
Compare each buyer's unit-price trajectory against their volume change. Among US buyers who cut volume, 45.6% raised their average unit price (spend redirection), while 54.4% held or cut price too (genuine reduction). Aggregate AOV masks the split β it stayed essentially flat ($13.42 β $13.15).
Does Project Pan reduce total beauty spending?
Not necessarily. For nearly half of volume-cutting buyers, total spend is redirected rather than reduced β fewer, pricier, more considered purchases that can total the same amount. The revenue risk is concentrated in which brands capture that consolidated spend, not in the category shrinking.
