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Should you optimize to ROAS or POAS?
Should you optimize to ROAS or POAS?
ROAS is revenue divided by ad spend. POAS is profit after the variable costs you actually track, divided by ad spend. ROAS can look healthy while cash is thin. There is no citable 2026 industry POAS league table; Pick the denominator finance trusts; eonik does not compute POAS; It makes the next on-brand ad.
Should you optimize to ROAS or POAS?
ROAS is revenue divided by ad spend. POAS is profit after the variable costs you actually track, divided by ad spend. ROAS can look healthy while cash is thin. There is no citable 2026 industry POAS league table; Pick the denominator finance trusts; eonik does not compute POAS; It makes the next on-brand ad.
Two formulas, two questions
ROAS asks whether media returned revenue. POAS asks whether that revenue left contribution after COGS, shipping, fees, and returns you include. If those costs are missing, POAS lies too.
Do not quote invented industry ROAS or POAS averages as facts. Those are blog folklore unless you have a named source. Compare campaigns inside your P&L.
When ROAS is enough, and when it is not
If variable costs are similar across SKUs, ROAS can rank media efficiency inside one channel. If high-ROAS SKUs are thin margin, you are steering toward the wrong catalog.
POAS only earns the extra work when finance can maintain an honest cost feed. A stale cost file is worse than simple ROAS.
What this is not
eonik is not a profit-bidding layer and does not push value to CAPI. Neither metric tells you which hook to shoot.
If POAS shows inefficiency, the production move is still: consider a better cut, make it, approve it. Spend stays in Ads Manager.
ROAS vs POAS
| Metric | Formula | Use it to |
|---|---|---|
| ROAS | Revenue ÷ ad spend | Platform efficiency inside one channel |
| POAS | (Revenue − variable costs) ÷ ad spend | Cash after costs you trust |
| Neither | Not a creative score | Does not tell you which hook to shoot |
Lean on ROAS when
- Finance has not wired reliable cost data
- You are comparing media efficiency inside one channel
- Variable costs are similar across SKUs
Lean on POAS when
- COGS and returns differ wildly by SKU
- High ROAS SKUs are actually thin margin
- You can maintain the cost feed honestly
What usually breaks
- Treating ROAS as profit because the dashboard is green.
- Calling a blog average an invented 2026 POAS league table.
- Changing the cost definition every quarter so POAS cannot be compared.
eonik is not an attribution, tagging, or budget suite. After you understand the readout, the lever you still control is what you make next. Start at how to generate AI ads. You approve every cut; nothing spends.
“Almost any question can be answered, cheaply, quickly, and finally, by a test campaign. And that’s the way to answer them, not by arguments around a table.”
That principle still holds. The next on-brand cut is yours to approve.
Questions
What is a good POAS in 2026?
Whatever keeps you above your real contribution floor after the costs you actually track. There is no official industry POAS benchmark on this page. Define COGS, shipping, fees, and returns once with finance. Compare campaigns inside your P&L; eonik does not compute POAS or set bids.
Should you optimize bidding to ROAS or POAS?
Optimize to the denominator your finance team will stand behind in the close. ROAS is simpler when costs are similar. POAS is better when SKU margins diverge, if the cost feed is honest. Neither is a creative score; You still decide spend in the ad account.
Does eonik optimize POAS?
No. It never touches budget, bidding, or value rules. It is a Mac app for making ads: consider what is worth making next, then the on-brand cut you approve. If contribution looks weak because the opening is tired, make a new file; Download after you know the metric.
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