Your ROAS target is a margin question: from unit economics to target

There is no universal good ROAS. Your break-even ROAS follows directly from your contribution margin, and your target is built on top of it. Here is how to turn your ROAS goal into a calculation instead of an opinion.

There is no such thing as a good ROAS without context: your ROAS target is a margin question. You calculate break-even ROAS by dividing 1 by your contribution margin, and you build your target on top of that based on what you want to keep per order and how much weight your growth ambition carries. Copy your target from another brand and you are steering on someone else's margins, which sooner or later costs real money.

How do you calculate your break-even ROAS?

Everything starts with your contribution margin per order: what remains of revenue after the variable costs come off. Think cost of goods, shipping, payment fees, packaging and returns. Fixed costs like salaries and software deliberately stay out of this; the question is what one additional order actually contributes.

Break-even ROAS is then simply 1 divided by that contribution margin. If you keep 40 cents of every euro of revenue, your break-even ROAS is 2.5: every euro of ad spend has to return 2.50 euros of revenue just to break even. At a 60% margin it is 1.67, at 25% it is already 4. Two brands showing the same ROAS in the dashboard can live in completely different worlds: one is compounding profit, the other is burning cash.

This is also why other brands' benchmarks tell you nothing. The question is never whether your ROAS is high compared to someone else, but whether it sits above your own break-even and leaves enough room for what you want to keep per order.

Why is a higher ROAS target not automatically better?

Many founders set their target comfortably above break-even out of caution and assume that keeps them safe. The opposite is true: a target set too high strangles growth. The algorithm and your media buyer start cutting spend that was profitable, purely because it missed an artificially high bar. You are not buying profit at that point, you are buying shrinkage.

Add to that the difference between average and marginal ROAS. As you scale, the return on the last euro of spend declines; that is not failure, it is the normal mechanics of reach. So the relevant question when scaling is not whether your average ROAS drops, but whether that last euro still returns above break-even. As long as it does, more spend is simply more profit, even if the dashboard looks less flattering.

A ROAS target that does not come from your margin is an opinion. One that does is a decision.

How do you build from break-even to a target ROAS?

With break-even as your floor, you build toward a target that fits your stage and ambition in four steps.

  1. Calculate your contribution margin per order, including shipping, payment fees and returns.
  2. Divide 1 by that margin: that is your break-even ROAS, the absolute floor.
  3. Pick your mode: maximum profit per order means a target well above break-even, maximum growth means daring to sit close to it.
  4. Correct for repeat behavior: if a customer predictably reorders, the first order can sit closer to break-even or even below it.

That last step is skipped most often and makes the biggest difference. A brand where customers buy once has to make money on the first order. A brand with strong repeat behavior or a subscription model buys a customer relationship with that same first order, and can therefore afford a more aggressive acquisition target. Without visibility on your repeat behavior, you are by definition steering either too cautiously or too recklessly.

What does this mean for how you run your account?

One blended target for your whole account is almost always too crude. Different products carry different margins, and new customers are worth something different than existing ones. So work with separate targets for prospecting and retargeting at minimum, and watch your new customer share closely: a beautiful ROAS built mostly on existing customers is a sign you are harvesting rather than growing.

And do not forget what makes the target achievable in the first place. Your margin decides which ROAS you need, but your creatives decide whether you hit it. Stronger hooks, sharper angles and more testing volume raise the return on every euro of spend, and with it, how much you can profitably deploy. When a target is missed, it is rarely a bidding problem and almost always a creative problem.

Conclusion

Your ROAS target should come from your own numbers: contribution margin, break-even, desired profit per order and repeat behavior. That turns it into a decision you can steer on instead of a number you once heard somewhere. The second half of the equation is a creative strategy that makes the target achievable, and that is exactly what we help B2C brands with every day. Curious whether your current target actually matches your margins? Book a call and we will gladly run the numbers with you.

Frequently asked questions

What is a good ROAS for e-commerce?
That question cannot be answered without your margin. Break-even ROAS is 1 divided by your contribution margin: at a 40% margin your floor is 2.5, at a 25% margin it is 4. Good means: above your own break-even, with enough room for your profit goal per order.
What is the difference between average and marginal ROAS?
Average ROAS is the return across all your spend combined; marginal ROAS is the return on the last additional euro. When scaling, marginal ROAS drops first. As long as it stays above break-even, extra spend produces extra profit, even while your average declines.
Should I use ROAS or MER as my main metric?
They answer different questions. ROAS per campaign steers daily optimization, while MER (total revenue divided by total ad spend) guards the whole picture including effects attribution misses. Use MER as the health check and margin-based ROAS targets as the steering wheel.
How do I factor LTV into my ROAS target?
Look at what a new customer predictably spends in the months after the first order, based on your own cohort data. The stronger that repeat behavior, the closer your first-order target can sit to break-even. Do work from your own data, not from assumptions.

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