Hey Sage · Public benchmark interpreter · Australian ecommerce
Benchmarks
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Paid ads benchmark index for Australian ecommerce brands
Compare one metric with a transparent public global cohort, convert source-dollar costs to AUD and put the result beside your own break-even economics. Useful context—never a substitute for margin, incrementality or account history.
Use the benchmark as context. Use economics as the decision.
The default range is a static snapshot from Triple Whale’s public benchmark explorer: global Apparel & Accessories brands with annual revenue of source-normalised USD $1m–$10m, any AOV, over the displayed rolling 90-day window.
The public methodology describes anonymised shop-day-channel observations, source currency normalisation to USD, cohort filters, percentile bands, daily refresh and a privacy threshold. This page does not call or reproduce an undocumented live API.
For cost metrics, p25 is the lower value and p75 is the higher value. The tool reverses the strength interpretation when lower is better, but never converts a quartile band into a made-up exact percentile.
Platform ROAS, attributed CPA and blended MER are different measures. Compare like with like and keep the attribution window visible.
Category, revenue scale, AOV, market, promotion mix and new-customer scope can materially change a reference range.
The public source normalises money to USD. This tool converts cost references with the FX value you enter; it does not fetch a live rate.
AOV Ă— contribution margin before media. Returns, payment fees, fulfilment and discounts belong in the margin input.
1 Ă· contribution margin. It is a first-order single-order ceiling, not a lifetime-value target.
Your lag-adjusted marginal performance against a stable commercial goal is often more actionable than a broad public median.
Primary source reviewed and snapshot recorded 14 July 2026: Triple Whale’s public benchmark methodology and benchmark explorer. The source is independent of Hey Sage, can refresh its data and may change its methodology. This page stores the disclosed snapshot below for transparency.
The exact public snapshot behind the defaults.
Global Apparel & Accessories · annual revenue USD $1m–$10m · any AOV · 14 April–12 July 2026. Values are p25 / median / p75. Monetary metrics are source-normalised USD before your FX input.
| Platform | ROAS | CPA | CPM | CPC | CTR | CVR |
|---|---|---|---|---|---|---|
| Meta | 1.33 / 2.04 / 3.27 | $30.65 / $52.75 / $104.05 | $8.48 / $13.40 / $21.32 | $0.39 / $0.61 / $0.90 | 1.61 / 2.30 / 3.33% | 0.60 / 1.16 / 1.95% |
| 3.09 / 5.48 / 9.86 | $12.29 / $22.67 / $42.47 | $8.57 / $13.13 / $20.62 | $0.47 / $0.76 / $1.15 | 1.29 / 1.76 / 2.52% | 1.76 / 3.34 / 5.83% | |
| TikTok | 1.28 / 2.45 / 4.51 | $20.36 / $38.83 / $84.04 | $2.70 / $3.92 / $7.30 | $0.27 / $0.52 / $0.94 | 0.56 / 0.85 / 1.29% | 0.50 / 1.22 / 2.67% |
These are public global cohort values, not Australian market averages and not a balanced cross-platform experiment. Platform mix, attribution and advertiser selection differ, so the rows should not be used to declare one platform inherently better.
Three numbers a benchmark cannot answer.
Incremental revenue
Platform attribution can count sales that would have happened anyway. Holdout tests, geographic experiments and blended business outcomes answer a different question from reported ROAS.
Marginal efficiency
An average can look healthy while the newest dollar is unprofitable. Scale decisions should watch the cost and contribution of the next tranche of spend.
Cash and customer quality
Returns, payment timing, repeat behaviour, stock, discounting and new-customer rate can make two accounts with the same platform CPA commercially different.
Australian ecommerce ad benchmark FAQ
Are these Australian ecommerce advertising benchmarks?
No. They are a clearly labelled public global proxy presented for Australian brands. The default cohort is not Australian proprietary data and should not be described as an Australian market average.
What is a good ROAS for ecommerce in Australia?
A good ROAS is one that clears the brand’s contribution and cash requirements for the stated attribution scope. Public medians provide context, but margin, new-customer mix and incrementality decide whether the result is actually good.
What is a good CPA for ecommerce ads?
Start with break-even CPA: average order value multiplied by contribution margin before media. Then apply a safety buffer for uncertainty, returns, cash needs and the value of repeat customers.
Why are the default cost benchmarks in USD?
The public source normalises monetary data to USD. This tool multiplies those ranges by an editable source-dollar-to-AUD assumption so the conversion is visible rather than silently hard-coded.
Can I compare Meta, Google and TikTok ROAS directly?
Not cleanly. The platforms serve different demand, advertisers and attribution systems. A cross-platform table is descriptive context, not a controlled test of which channel is better.
What is the difference between ROAS and MER?
ROAS is attributed revenue divided by spend for a defined channel or campaign. Blended marketing efficiency ratio is total business revenue divided by total marketing spend. Keep the numerator and denominator explicit.
Why does the tool show a quartile band instead of an exact percentile?
Three reference points support only broad bands: below p25, p25 to median, median to p75 and above p75. Claiming a more exact percentile would invent precision the public inputs do not contain.
Should I change budgets when I fall below a benchmark?
Not on the benchmark alone. Reconcile measurement, compare against your commercial ceiling, inspect marginal performance and determine whether the issue is delivery, creative, offer, landing page or demand.
Can I replace the public ranges with my own data?
Yes. Use a verified peer set or your own comparable historical period, enter p25, median and p75, set the currency conversion to 1 when the range is already AUD and label the source honestly.
Want the number tied back to the business?
Hey Sage can reconcile platform reporting, store revenue, margin, new-customer mix and account structure—then define the guardrail your team should actually use.
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