ROAS benchmarks show how much revenue e-commerce advertisers generate for each unit of ad spend. This page gives citable reference points for Meta, Google and blended ROAS, plus notes on breakeven ROAS and margin-based targets.
Back to the hub: E-commerce Statistics.
This page belongs to the Traffic & Marketing silo. For channel context, compare it with
organic search share of traffic,
paid search share of traffic,
social share of traffic,
email share of revenue,
ROAS benchmarks
and MER benchmarks.
Benchmarks
ROAS benchmarks for e-commerce
ROAS measures revenue attributed to ad spend. It is useful for campaign optimization, but it should not be used alone because platform attribution, margin and customer mix can make a high ROAS look better than it really is.
1.93×
Eightx summarized Triple Whale’s full-year 2025 ecommerce cohort with Meta median ROAS at 1.93×.
3.68×
The same summary reported Google median ROAS at 3.68× across the broader ecommerce cohort.
2.87×
Eightx reported blended ecommerce ROAS at 2.87× average, with a lower median.
| Benchmark | Observed level | Interpretation |
|---|---|---|
| Meta median ROAS | 1.93× | A discovery-heavy platform where performance varies strongly by category and campaign type. |
| Google median ROAS | 3.68× | Often higher because search and shopping capture stronger commercial intent. |
| Blended ROAS median | 2.04× | A broad ecommerce reference point across paid channels. |
| Blended ROAS average | 2.87× | Average can be pulled upward by stronger performers; median is often safer for operators. |
| Breakeven ROAS at 40% margin | 2.5× | ROAS target should be derived from contribution margin, not from generic rules. |
Channel context
ROAS by platform and intent
A single ROAS target across all platforms usually creates bad decisions. Prospecting, retargeting, brand search, shopping ads and creator campaigns do different jobs.
| Channel / campaign type | Typical role | ROAS interpretation |
|---|---|---|
| Google search / shopping | Demand capture | Can justify a higher ROAS target because intent is closer to purchase. |
| Meta prospecting | Demand creation and discovery | May have lower last-click ROAS but still support total revenue and branded search. |
| Retargeting | Conversion assistance | Often reports high ROAS but can over-credit customers who were already close to buying. |
| Brand search | Demand harvesting | Can inflate blended paid search ROAS if not separated from non-brand acquisition. |
Usage
How to use ROAS benchmarks
ROAS formula: ROAS = attributed revenue ÷ advertising spend.
Breakeven ROAS formula: breakeven ROAS = 1 ÷ contribution margin percentage.
For ecommerce, compare platform ROAS with MER benchmarks, gross margin benchmarks and repeat purchase rate benchmarks. A campaign can have a low first-order ROAS and still be acceptable if LTV and payback period support it.
Methodology
Methodology note
ROAS benchmarks depend on attribution window, platform attribution model, inclusion of taxes and shipping, new vs returning customers, margin and campaign objective. Separate platform-reported ROAS from blended ROAS and compare results over consistent time windows.
Sources
Sources and notes
Use these sources as directional benchmarks. Traffic and marketing performance data should be normalized by channel definition, attribution window, geography, seasonality and product category.
- Eightx ecommerce ROAS by vertical 2026 — Meta, Google and blended ROAS reference points based on 2025 ecommerce benchmark summaries.
- WordStream 2025 Google Ads benchmarks — search advertising cost, conversion and campaign performance context.
- Triple Whale 2025 Ecommerce Benchmarks Report — large ecommerce ad-spend cohort context referenced by third-party summaries.
Cite this page
How to cite this dataset
E-commerce ROAS Benchmarks. Best For Ecommerce. Updated 2026-05-31. Available at: https://bestforecommerce.com/ecommerce-statistics/traffic-marketing/roas-benchmarks/