Every beauty founder wants to know: how does my brand compare?
The problem is that most benchmarks floating around the industry are either outdated, too generic, or based on enterprise brands whose economics have nothing to do with yours. A 500-employee L'Oreal subsidiary and a 3-person DTC skincare brand do not share useful benchmarks.
These numbers are specific to indie and scaling beauty brands — the kind doing between ten thousand and five hundred thousand pounds per month. They are drawn from Beauty 2.0's operational analysis work across dozens of beauty brands and cross-referenced with industry data sources.
Retention benchmarks
Retention is the single most important lever for beauty brands after product-market fit. These are the numbers that separate brands that compound from brands that plateau.
| Metric | Skincare | Cosmetics | Haircare | Wellness | |--------|----------|-----------|----------|----------| | Repeat purchase rate | 32% | 22% | 38% | 25% | | Average repurchase cycle | 75 days | 120 days | 55 days | 90 days | | Churn rate (monthly) | 3.5% | 5.2% | 2.8% | 4.1% | | Email-attributed revenue | 28% | 22% | 32% | 26% | | Post-purchase flow conversion | 8-12% | 5-8% | 10-15% | 6-10% |
Skincare and haircare have a structural advantage in retention because most products are replenishable. Cosmetics brands need to work harder on cross-sell because individual products last longer. Wellness brands sit in the middle — supplements replenish but the purchase decision is more considered.
The gap that matters most: The difference between the top quartile and the median in repeat purchase rate is 12-15 percentage points. That gap, applied to a brand doing 50,000 per month, represents 6,000-7,500 in monthly revenue that the median brand is leaving on the table.
Content production benchmarks
Content is where most beauty brands bleed money without realising it.
| Metric | Median | Top quartile | |--------|--------|-------------| | Monthly content spend | £3,200 | £2,100 | | Assets produced per month | 25 | 48 | | Cost per asset | £128 | £44 | | Content pieces with performance data | 15% | 80% | | Time from brief to publish | 12 days | 3 days |
The top quartile spends less and produces more. Not because they have cheaper talent, but because they have better systems: batched production, templatised briefs, reusable components, and AI-assisted workflows that eliminate the gaps between concepting, producing, editing, and publishing.
The hidden cost: 73% of beauty brands we audit cannot tell you which content assets drove the most revenue. They produce content, publish it, and hope. The brands that track performance per asset make fundamentally different allocation decisions.
Paid media benchmarks
| Metric | Google Ads | Meta Ads | TikTok Ads | |--------|-----------|---------|------------| | CTR (beauty average) | 2.1% | 1.4% | 1.0% | | CPC | £0.95 | £0.65 | £0.45 | | CPM | £12.50 | £8.50 | £6.00 | | ROAS (skincare) | 4.2x | 3.8x | 2.8x | | ROAS (cosmetics) | 3.5x | 3.2x | 2.4x |
TikTok has the lowest CPM but also the lowest ROAS. This is consistent with its role as a top-of-funnel awareness channel rather than a direct response platform. The brands getting the best TikTok ROAS are those using Spark Ads (boosted organic content) rather than traditional ad creative.
Seasonal note: Q4 CPMs on Meta rise 35-40% for beauty brands due to holiday gifting competition. Brands that front-load their Q4 spend into October rather than waiting for November see 20-30% lower CPMs at similar reach.
Operational efficiency benchmarks
| Metric | Median | Top quartile | |--------|--------|-------------| | Hours per week on reporting | 4.2 | 0.5 | | Days to identify a stock risk | 14 | 1 | | Manual processes per order | 3.1 | 0.4 | | Time from audit to action | 21 days | 3 days | | Decisions made from data (vs intuition) | 35% | 78% |
The operational efficiency gap is where AI makes the most measurable difference. The top quartile brands are not necessarily more skilled — they have systems that surface the right information at the right time without requiring manual assembly.
AOV and order economics
| Metric | Skincare | Cosmetics | Haircare | Wellness | |--------|----------|-----------|----------|----------| | Average order value | £48 | £38 | £35 | £65 | | Gross margin | 72% | 68% | 65% | 75% | | Discount rate | 12% | 18% | 10% | 8% | | Return rate | 3.2% | 8.5% | 2.1% | 1.8% |
Cosmetics has the highest return rate and discount rate — both of which erode the already-lower margin compared to skincare. Shade matching issues drive most cosmetics returns. Brands with virtual try-on or strong PDP guidance see return rates 40-50% lower.
Wellness has the highest AOV and lowest discount rate, reflecting the trust-driven purchase dynamic where discounting can actually reduce perceived quality.
How to use these benchmarks
- Pick three metrics from this report that are most relevant to your current stage.
- Measure your own numbers honestly. If you cannot measure them, that is the first problem to solve.
- Compare against the median, not the top quartile. The median is where most brands sit. Beating the median consistently is a strong position.
- Identify the biggest gap between your numbers and the benchmark. That gap represents your highest-ROI improvement opportunity.
- Track quarterly. Benchmarks are useful for direction-setting, not daily monitoring.
These numbers will evolve. We will update this report quarterly as we gather more operational data across the brands we work with.
This benchmark data is drawn from Beauty 2.0 operational analysis across multiple beauty brands, cross-referenced with industry sources including platform-reported data from Shopify, Klaviyo, and Meta. Segment benchmarks reflect DTC-focused beauty brands in the UK and EU market. Individual brand performance varies based on category, price point, marketing maturity, and team size.