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Paid media for apparel where fit drives returns

Your ads are optimized for orders. Not for the ones people keep.

Scrubs, uniforms, workwear, footwear — anything with a size on the label comes back about three times as often as anything without one. Your ad platform has no idea. We fix that.

Book a 20-minute call No prep needed. We'll look at your store live.
+18%
keep rate in two months, same ad budget
7.2
ROAS at a 14% ad cost of sale
4 years
running one apparel brand's full stack

The gap nobody reports on

Your ROAS can look identical while a fifth of the money walks out the door.

Across apparel e-commerce, roughly 20–40% of what ships comes back. About half of that is size and fit — the largest single cause of returns in the category.

Meanwhile every ad platform fires its conversion the moment an order is placed. It never hears about the return. So it keeps finding more people like the ones who ordered — including the ones who sent it back. You pay for the click either way.

What 100 orders actually leave you · illustrative model
$120 AOV · 40% margin · 14% ad cost of sale6% returns20% returns
Orders placed$12,000$12,000
Actually kept$11,280$9,600
Gross margin$4,512$3,840
Ad spend — paid on all 100−$1,680−$1,680
Return shipping−$45−$150
Left in the business$2,787$2,010

Same traffic. Same budget. Identical ROAS in the dashboard. 28% less money in the business.

Nothing in your reporting is wrong. It's measuring the wrong moment.

What we do about it

We did exactly this for a medical apparel retailer we've run for four years — +18% keep rate in two months on the same spend.

1

Rewire the conversion signal

Your CRM already knows which orders were kept. We feed that back to Google and Meta as the conversion — net of returns — through offline conversion imports and server-side purchase events. The algorithm stops optimizing toward people who click buy and starts optimizing toward people who keep.

2

Move the size decision before the shipment

Per-cut fit guidance instead of one generic chart. Fit signals in the ad creative and on the product page. Proactive contact on borderline sizes, before the box leaves.

3

Report on margin after returns

Monthly reporting that leads with kept revenue and the ad cost of sale against it — so budget decisions stop being made from a number that ignores a fifth of your orders.

Read the full case study →

Who this is for

If you're in the second column, we'll say so on the first call rather than take the engagement.

Good fit
  • Scrubs and medical apparel
  • Uniforms and workwear
  • Footwear
  • Dancewear and activewear
  • $2M+ in annual online revenue
  • Already running paid media
  • You can export returns by category
Not a fit
  • Digital products or services — no returns to fix
  • Under $2M online — the work won't pay for itself
  • No returns data at all
  • Paid media running less than three months

Engagements

Monthly retainers. Media budget is separate — you pay the platforms directly.

Traffic
$4,000
per month
  • Google Ads — search, shopping, performance
  • Meta Ads — prospecting, retargeting, catalog
  • All copy and creative
  • Conversion tracking and reporting
Stay Current
$9,000
per month
  • Everything in Traffic
  • GPT Ads — advertising inside ChatGPT
  • GEO — so you surface in AI-generated answers
Full stackMatches the case study
$12,000
per month
  • Everything in Stay Current
  • SEO — technical, content, category
  • Technical support and site development
  • The result in the case study came from every channel working together
Media budget is not included. You pay Google and Meta directly; the retainer is our fee.

FAQ

Frequently asked questions

The honest answers we give on the first call.

Aren't returns just the cost of selling apparel online?

Partly, and nobody gets to zero. But the spread between retailers in the same category is enormous, and the difference is rarely the product — it's whether the size decision happens before the order ships or after. Our client's catalog didn't change. What changed was what their ad platform was optimizing toward and what their product pages said about fit.

Our agency already handles this.

Then this is quick: does your reporting show revenue net of returns, and is return data flowing back into the ad platform as the conversion signal? If yes, you're in good hands. If it's “I'd have to check,” that's the gap — and it's not a knock on your agency. Almost nobody does this, because it needs your returns data and most never ask.

Our ROAS is good. Isn't that enough?

ROAS counts orders placed. If a fifth come back, ROAS doesn't move but the money does. That's the whole gap — and it's why the problem stays invisible for years.

Does this work on Google Ads and Meta?

Yes. Google Ads and Meta are our core stack, and both accept the offline conversion imports and server-side purchase events the method runs on. Nothing in the fix depends on a feature only one platform has.

Why won't you name the client?

Confidentiality arrangement. We'll walk through every number on a call, but the brand stays unnamed — which is also what we'd do with yours.

What results can we expect?

We don't promise a number before we've seen your data. On the first call we look at your return rate by category and by channel and tell you honestly whether there's enough of a gap to be worth fixing.

Return rate benchmarks for apparel reflect published industry data, including the National Retail Federation's 2025 Retail Returns Landscape. The 100-order table is an illustrative model — your margin, average order value and return costs will change the result.

Case study figures are from the client's own sales, returns and analytics data, 2022–2026, converted and rounded. Client name withheld under a confidentiality arrangement.