Returns: The Number Missing From Your ROAS

The short version

Ad platforms record the purchase. They almost never hear about the refund.

So reported ROAS is gross ROAS, and your actual return is lower by however much comes back. That would be a simple correction if returns were uniform — but they are not. They vary by product, by channel, by creative, and by discount depth, which means returns do not just lower your ROAS, they reorder your rankings.

Why it distorts decisions

Consider two campaigns both reporting 3.0 ROAS. One sells a product returned 5% of the time; the other sells one returned 35%.

Net of returns, the first delivers roughly 2.85 and the second roughly 1.95. Identical in reporting, very different in reality — and your optimization is scaling both equally because it can only see the top line.

This is not a rounding error in categories where returns are structurally high. In apparel and footwear, return rates are high enough that gross ROAS is close to meaningless as a comparison tool.

Where return rates differ

By product. Sizing-dependent items return far more than items that do not need to fit.

By discount depth. Deeply discounted purchases are returned more. Impulse buying at a discount produces more regret.

By creative. Creative that oversells — flattering the fit, the color, the size — produces sales and returns together. This is the one people miss, and it means a creative can look like your best performer while being your worst.

By channel. Channels reaching lower-intent, discovery-driven buyers usually return more than search channels capturing existing intent.

By new versus returning customer. First purchases return more often.

How to actually account for it

Apply a return rate to reported revenue. Even a single blended rate is better than none.

Segment the rate where the difference is material. By category at minimum. By channel if you can.

Send returns back into your measurement. Where your platform supports adjusting or refunding recorded conversions, use it. This lets the bidding system learn from net rather than gross outcomes, which is the only structural fix.

Watch the lag. Returns arrive weeks after the sale, so recent periods always look better than they will turn out to be. Comparing a recent window against a settled one overstates the recent one.

The creative test worth running

Compare return rate by creative. If one creative sells well and returns disproportionately, it is misrepresenting the product.

The fix is usually specificity — accurate sizing information, honest color, realistic scale. It costs some conversion rate and improves net revenue, which is a trade most teams would take if the data were in front of them.

It almost never is, because return data lives in the backend and creative data lives in the ad platform, and nobody joins them.

Practical rule

Rank channels and creatives on revenue net of returns, not on what the platform reports. If your return rate varies by more than a few points across products or channels, gross ROAS is not a comparison, it is a coincidence.