ROAS Benchmarks by Industry Benchmarks
Average ROAS varies 3-5x across DTC verticals and channels. Here are realistic ranges for apparel, beauty, supplements, and home goods on Meta, Google, and TikTok — plus how to read them without misleading your budget.
ROAS Benchmarks by Industry
Typical return-on-ad-spend ranges by DTC vertical (apparel, beauty, supplements, home) and channel (Meta, Google, TikTok).
ROAS benchmarks by industry are the typical revenue-per-ad-dollar ranges a store can expect, segmented by what it sells and where it advertises. They exist because a 2.0x ROAS that looks weak for a beauty brand on Meta can be excellent for a supplement brand on TikTok prospecting — vertical variance runs 3-5x.
The ranges below combine vertical (margin profile, repeat rate, AOV) with channel mechanics (auction density, intent, creative format). Use them to sanity-check whether your numbers are a strategy problem, an execution problem, or just the category you operate in.
ROAS benchmarks fail when readers compare across categories. A jewelry store hitting 4.0x on Google Shopping is underperforming; a low-margin apparel store hitting the same number is winning. The vertical sets the ceiling — the channel sets the slope.
Before reading the table, decide whether you're benchmarking blended or channel ROAS. The two answer different questions and have different reference ranges, which is why most benchmarking arguments are really blended-vs-channel-ROAS arguments in disguise.
Typical ROAS ranges by DTC vertical and channel (paid prospecting + retargeting blended within channel)
| Vertical | Meta Ads | Google Search + Shopping | TikTok Ads | Blended (all paid) |
|---|---|---|---|---|
| Apparel & Fashion | 1.8x – 3.2x | 3.0x – 5.5x | 1.2x – 2.4x | 2.0x – 3.5x |
| Beauty & Skincare | 2.2x – 4.0x | 3.5x – 6.5x | 1.5x – 3.0x | 2.5x – 4.2x |
| Supplements & Wellness | 1.5x – 2.8x | 2.5x – 4.5x | 1.3x – 2.5x | 1.8x – 3.0x |
| Home & Kitchen | 2.0x – 3.5x | 3.5x – 6.0x | 1.4x – 2.8x | 2.3x – 3.8x |
| Jewelry & Accessories | 2.5x – 4.5x | 4.0x – 7.5x | 1.6x – 3.2x | 2.8x – 4.5x |
| Electronics & Gadgets | 1.2x – 2.2x | 2.0x – 3.8x | 0.9x – 1.8x | 1.5x – 2.5x |
| Food & Beverage (DTC) | 1.4x – 2.5x | 2.2x – 4.0x | 1.1x – 2.2x | 1.6x – 2.8x |
Google Search and Shopping consistently outperforms social on first-purchase ROAS because the intent is already there — someone typed your category. Meta and TikTok pay you back through repeat purchases and LTV, which is why a 2.0x Meta ROAS with a 60% repeat rate often beats a 4.0x Google ROAS with a 15% repeat rate.
Median blended ROAS by DTC vertical (paid channels combined)
How to read these numbers without misleading your spend
Benchmarks are reference points, not targets. The right ROAS for your store depends on contribution margin, repeat rate, and how aggressively you're trying to grow. A brand at 70% gross margin can profitably run prospecting at 1.5x ROAS; one at 30% margin cannot.
Two numbers fix most benchmark misuse: break-even ROAS (1 ÷ contribution margin) and target ROAS (break-even × your growth multiplier). If your apparel store has a 40% contribution margin, break-even is 2.5x — meaning the 1.8x bottom of the Meta range is loss-making at first purchase and only works if 90-day LTV closes the gap.
Don't compare your channel ROAS to someone's blended ROAS
The most common benchmarking mistake is reading a competitor's tweet about '4x ROAS' as a Meta number when it's their blended figure across Google, email, and organic. Always check the denominator. A useful blended ROAS for a growing DTC brand sits 30-60% higher than its paid-only ROAS, because branded search and email rides for free in the numerator.
Why your ROAS may sit outside these ranges
If you're materially above the range, check attribution. Meta and TikTok pixel-attributed ROAS routinely overstates by 20-40% versus a clean post-purchase survey or MMM. If you're materially below, the usual culprits are creative fatigue, an AOV mismatch with your CPM, or a checkout leak that no amount of ad optimisation fixes.
Seasonality also distorts comparisons. Q4 ROAS for apparel and jewelry runs 40-70% above the annual average; January routinely collapses to 50-60% of it. Benchmark on rolling 12 months, not last week, and segment new-customer ROAS from returning-customer ROAS before drawing conclusions.
ROAS benchmark FAQs
Across DTC verticals, a blended paid ROAS of 2.5x-3.5x is healthy for a growing store with 40-60% contribution margin. Below 2.0x usually means break-even or worse on first purchase; above 4.0x often signals under-investment in top-of-funnel rather than excellent media buying.
Three structural factors: contribution margin (jewelry and beauty have 65-80%, electronics 15-30%), repeat-purchase rate (supplements 50%+, home goods under 20%), and auction density (saturated categories like supplements push CPMs up). Together these produce the 3-5x spread you see across verticals.
Industry benchmarks usually refer to channel-specific ROAS (Meta only, Google only). Blended ROAS divides total revenue by total paid spend across all channels. The blended vs channel ROAS distinction matters because they answer different questions — channel ROAS evaluates a buying team, blended ROAS evaluates the business.
Track both, but weight Google more heavily for first-purchase profitability and Meta more heavily for incremental new-customer acquisition. Google ROAS tends to run 1.5-2x higher than Meta in the same vertical because it captures existing demand rather than creating it.
TikTok prospecting ROAS typically lands 30-50% below Meta in the same vertical — 1.2x-2.5x for most DTC categories. It can still be profitable on an LTV basis, especially for visual-first verticals like apparel and beauty, but expect lower attributed first-purchase efficiency.
Higher AOV stores tolerate lower ROAS because the absolute contribution per order is larger. A €200 AOV brand at 2.0x ROAS earns €100 in revenue per €50 ad spend — often enough to cover fulfillment and still profit. A €40 AOV brand at the same ROAS is usually underwater.
Yes. Retargeting ROAS typically runs 3-5x higher than prospecting because you're paying to close demand you already created. Blending them hides whether your top-of-funnel is actually working. Most healthy DTC brands see prospecting at 1.5x-2.5x and retargeting at 5x-10x.
Re-baseline quarterly at minimum, and re-baseline immediately after major iOS/Android privacy changes, platform attribution updates, or shifts in your product mix. Benchmarks from 2021 are no longer useful — Meta attribution alone has changed three times since.
Probably. A ROAS that consistently sits above the top of your vertical's range usually means you're harvesting existing demand rather than creating new customers. Test scaling prospecting budget by 20-30% and accept a temporary ROAS dip if new-customer count grows proportionally.
Check three things: sample size (under 200 brands is noise), how they handle attribution (platform-reported vs MMM-corrected give very different numbers), and whether they segment by AOV tier. Reports that quote a single ROAS figure for 'ecommerce' without segmentation are not useful for decision-making.
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