Returns quietly eat your real ROAS
Apparel returns run 20-30%+ — far above other categories, mostly size and fit. A "3× ROAS" dashboard can be a 2× business once returns clear. Most agencies never reconcile for it.
We scale fashion and apparel D2C brands whose Meta ROAS has plateaued — accounting for the things generic agencies ignore: returns, seasonality, and a catalog with hundreds of variants. We rebuild the account around net, in-stock, margin-positive ROAS — not the dashboard number.

Apparel returns run 20-30%+ — far above other categories, mostly size and fit. A "3× ROAS" dashboard can be a 2× business once returns clear. Most agencies never reconcile for it.
New collections, festive peaks, and end-of-season sales spike and crater spend. Every big budget swing resets Meta’s learning phase — so launches and clearances cost more than they should.
Fashion moves faster than any other vertical. The same lookbook shots and 4-5 concepts decay in weeks, not months, and there’s never enough fresh creative in the pipeline.
Hundreds of size/colour variants, a messy feed, and out-of-stock bestsellers still burning spend. Catalog and Advantage+ Shopping only perform when the feed underneath them is clean.
The fashion brands scaling profitably aren’t necessarily the best designers — they’re the ones whose catalog, creative, and returns math are all built for the same drop cycle.



Meta’s AI happily buys you revenue that walks back in as a return, spend on out-of-stock SKUs, and clearance orders at zero margin. Fashion needs a layer that optimizes to net, in-stock, margin-positive revenue. That’s the layer we own.
We reconcile ad-platform revenue against post-return, post-exchange order data before any scaling call — so you scale what’s actually profitable, not what looks good pre-returns.
Clean product feeds, variant-aware catalogs, and Advantage+ Shopping / PMax tuned so spend follows what’s in stock and converting — not last season’s hero product.
A structured pipeline of angles — UGC, on-model, flat-lay, styling, social proof — refreshed on a fixed cadence, so creative keeps pace with collections instead of fatiguing silently.
Launch and end-of-season budgets ramped on a tested pacing plan that respects the learning phase — so festive and sale windows scale instead of spiking your CPAs.
Not a service menu — the specific levers that move ROAS for apparel, footwear, and accessories.
Full ICP, audience architecture, and campaign-structure rebuild for fashion accounts that have plateaued — sized for seasonality and drops, not a static evergreen catalog.
Ad revenue reconciled against real post-return order data, so scaling decisions are made on the ROAS that survives contact with your returns rate.
Variant-aware product feeds and Advantage+ Shopping / PMax setup so spend follows in-stock, in-season, converting SKUs — not dead inventory.
Structured angle/format rotation — UGC, on-model, flat-lay, styling, social proof — on a cadence built for trend and drop cycles.
PDP and landing-page optimization built around the fashion buyer: size guidance, fit confidence, returns clarity, and outfit cross-sell to lift AOV.
Festive, wedding-season, and end-of-season-sale ramp plans that scale spend through high-CPM windows without breaking the account.
FEATURED CLIENT · FASHION D2C
Fashion D2C · Comfort Wear
Stuck at a ~1.9× ROAS with revenue flat, creative fatigued, and every scaling attempt breaking the unit economics — rebuilt from the ground up, returns and seasonality included.
A free audit of your account and your real return-adjusted ROAS — where spend leaks, which SKUs actually pay, and what we’d rebuild first.
ICP, audience architecture, catalog/feed, and net-of-returns attribution get fixed before a single rupee of new scaling spend goes out.
Angle and format testing built for fashion — on-model, UGC, flat-lay, styling — across cold/warm/hot on a fixed cadence.
Disciplined, rules-based scaling tuned for drops, festive peaks, and end-of-season sales — growing net ROAS instead of breaking it.
Fashion’s defining problem is returns. We build the whole account around net, post-return revenue — most agencies optimize to a dashboard number that apparel invalidates.
We own catalog, attribution, and PDP conversion — the parts of a fashion funnel that are actually defensible against automated media buying.
Real before/after numbers from a real fashion account (Paraiso: 1.9×→3.2× ROAS) — not vague case-study language.
Most agencies launch accounts. We specialize in fashion accounts that already have spend, data, and a plateau — and know why apparel plateaus differently.
Move the sliders to your numbers and see the monthly ad budget it takes to hit your fashion brand’s revenue goal.
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The same thinking we apply to fashion accounts, in depth.
Our full D2C performance-marketing approach — the pillar this fashion page sits under.
The four-part account rebuild — the exact framework behind Paraiso’s 1.9×→3.2×.
Angles, hooks, cadence, and kill criteria — built for fashion’s fast fatigue.
Why return-adjusted unit economics decide whether your spend is working.
Book a free account + returns diagnostic. We’ll show you your real return-adjusted ROAS and exactly what we’d rebuild first — no obligation.
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