What Are Good ROAS Benchmarks for Ecommerce Brands in 2026?

“What is a good ROAS?” is one of the most common questions ecommerce teams ask, and one of the hardest to answer cleanly. The honest answer is that good ROAS depends on four variables: channel, category, funnel position, and — most importantly — the measurement methodology used to calculate it. This article gives the current 2026 benchmark ranges and explains how to read them without drawing the wrong conclusions.

Why “Good ROAS” Depends Entirely on Context

Four variables determine whether a given ROAS figure is strong, average, or weak:

• Channel. Branded search will always look better on ROAS than TikTok prospecting, not because it is a better channel but because it captures existing demand rather than creating new demand.
• Category. Fashion and beauty brands have higher median ROAS than home goods or CPG because of higher margins and shorter consideration cycles. Comparing ROAS across categories is misleading.
• Funnel position. Lower-funnel campaigns typically report higher ROAS than upper-funnel campaigns. This is structural, not a performance signal.
• Measurement methodology. The same campaign will report different ROAS on last-click, modeled attribution, and MMM. These differences are often 30 to 50 percent — large enough that comparing across methodologies is not meaningful.

Any benchmark that does not specify these variables is close to useless. Any benchmark that specifies them clearly can be a useful sanity check.

Benchmark Ranges by Channel (2026)

The ranges below reflect top-quartile retail ecommerce brands based on aggregated measurement data from 2025 into early 2026. They are intended as directional context, not targets.

Channel	Last-click ROAS (reported)	MMM-based ROAS (incremental)	Notes
Branded search (Google)	8–15x	1.5–3x	High reported, low incremental — captures existing demand
Google Shopping	4–8x	2.5–5x	Strong for product-led brands; narrower gap
Google prospecting / P-Max	2–5x	2–4x	Variable by audience configuration
Meta prospecting	1.5–3x	2.5–4.5x	MMM number higher because it includes Amazon halo
Meta retargeting	6–12x	1–2.5x	Classic retargeting trap
TikTok (prospecting)	1.0–2.5x	2–4x	Largest gap between last-click and MMM; Amazon halo significant
TikTok Shop (GMV Max)	Native reported, not comparable	2–4x on full-funnel	Requires third-party measurement to be comparable
YouTube	0.8–2x	1.5–3x	Heavily exposure-led; last-click systematically undercredits
Snap	0.8–2.5x	1.8–3.5x	Often 2x higher on MMM than last-click
Connected TV	Not reliably measurable via last-click	1.2–2.5x	MMM is the only credible measurement for CTV

Two observations that matter more than the specific numbers:

1. The MMM column is the closer-to-reality column for every channel except branded search and retargeting, where MMM usually shows a lower but more honest figure.
2. The gap between last-click ROAS and MMM ROAS is largest for upper-funnel and exposure-led channels. This is exactly where most budget decisions are being made wrong.

Category Context

ROAS expectations vary significantly by category:

• Beauty and skincare. Typically higher ROAS due to high margins, strong brand loyalty, and Amazon influence. Top-quartile brands often see Unified ROAS 30 to 40 percent above the all-category average.
• Fashion and apparel. Highly seasonal with sharp ROAS differences between peak and off-peak. Discount cadence significantly affects benchmarks.
• CPG and consumables. Lower margin, repeat purchase, so ROAS benchmarks are lower but LTV economics matter more. Benchmark reading requires incorporating repeat purchase value.
• Home goods and furniture. Long consideration cycles mean last-click understates performance more than in most categories. MMM and incrementality testing are particularly important here.
• Health and wellness. Varies widely by sub-category and regulatory context. Benchmarks should be drawn from peer brands, not across the full health category.

Comparing ROAS to a cross-category benchmark is a common mistake. The relevant comparison is to brands of similar scale, similar margin profile, and similar channel mix.

The Measurement Methodology Caveat

The single most important point about ROAS benchmarks in 2026 is that methodology matters more than channel. A brand measuring on last-click will report higher ROAS on branded search and retargeting than a brand measuring on MMM. A brand measuring on MMM will report higher ROAS on TikTok and YouTube than a brand measuring on last-click.

Both sets of numbers come from the same campaigns. The difference is the lens.

Which is correct? MMM-based ROAS, properly calibrated with incrementality tests, is closer to the truth because it measures causal contribution. Last-click ROAS measures attribution, which is a reporting convention, not a business outcome.

Brands measuring on last-click that compare themselves to MMM-based benchmarks will look like they are underperforming — but the comparison is apples to oranges. The right response is usually to upgrade the measurement, not to chase the benchmark.

How to Use Benchmarks

Three practical rules:

1. Benchmarks are context, not targets. A brand with a 2.1x TikTok MMM ROAS against a 2.0 to 4.0 benchmark range is within the range, which is useful to know. Setting 4.0x as a target is a mistake if the brand’s margin structure or audience maturity does not support it.
2. Compare within methodology. Do not compare your last-click ROAS to somebody else’s MMM ROAS. The numbers are different by construction.
3. Track your own trend more closely than the benchmark. A brand whose TikTok ROAS improved from 1.8 to 2.4 year-over-year is doing well regardless of where the industry benchmark sits, because the internal trend reflects changes the brand actually controls.

How Fospha’s Benchmark Data Is Generated

Fospha’s benchmarks — drawn from analysis of $4B in annual spend across hundreds of retail ecommerce brands — show that brands achieving top-quartile measurement practice achieve 30 percent higher ROAS than the market average. “The gap isn’t in the channels they’re using,” noted Fospha’s research team. “It’s in the measurement foundation that tells them where to put the next dollar.”

The aggregate benchmarks are constructed by anonymizing and pooling brand-level measurement outputs across Fospha’s client base. Other sources for benchmark data include Measured’s incrementality database, Analytic Partners’ enterprise MMM benchmarks, and platform-published data from Meta and TikTok — each with its own methodology. Using multiple sources and triangulating is generally more useful than relying on any single benchmark dataset.

The Practical Takeaway

Good ROAS benchmarks are useful as context for your own performance. They are not targets to hit and they are not evidence that a particular channel does or does not work for your brand. The benchmark that matters most is the one you can construct from your own measurement: what did this channel do last quarter, what did it do this quarter, and is the trend moving the way the business needs?

If the answer to those questions is unclear, the measurement methodology is the place to start — not the benchmark range.