Return-rate reduction through fit data
Physically measured size charts. Fit guidance in bullets, A+ content, and storefront. Review-mining for sizing patterns fed back into copy and product development.
Variation parents that aggregate reviews, lifestyle creative that drives CTR, return-rate reduction through fit data, and the retention flows apparel actually deserves.
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Returns 3-5× higher than the marketplace average. Variation parents split across 50 child ASINs with no aggregated reviews. Size charts copied from a wholesale spec sheet that doesn't match what's actually in the bag. Lifestyle imagery that's a model in a studio instead of the product in use. Every one of these is a fix.
Apparel CVR and return rate move on the same levers. Better imagery, better fit data, and better variation structure improve both at once.
Size and color as variation themes. Deep child SKU structure. Review aggregation across the parent. Variation expansion done through flat files without breaking review history.
On-model imagery across body types and use cases. Sponsored Brands video produced in cycles tied to seasonal launches. UGC roster for DTC paid social and TikTok.
Physically measured size charts. Fit guidance in bullets, A+ content, and storefront. Review-mining for sizing patterns fed back into copy and product development.
Variations, size charts, and review aggregation first.
Paid scaled with strong creative, retention flows live.
Seasonal launches, retention, and global expansion.
Variation parents are everything, size and color must be structured correctly or you split reviews across 50 child ASINs. Returns are 3-5× higher than other categories, so margin and inventory planning need to assume it. And size charts, fit guides, and lifestyle imagery drive conversion more than copy does.
Returns are unavoidable in apparel, but they're reducible. We focus on: accurate size charts with photo-validated measurements, lifestyle imagery on real people of varied body types, fit guidance in bullets and A+ content, and review-mining for sizing pattern data (runs small, runs large, true to size).
Yes, video is the highest-CTR ad type for apparel by a wide margin. Lifestyle and on-model video outperforms product-only footage. We produce video in cycles tied to seasonal launches and reuse across Sponsored Brands, Sponsored Display, and DSP.
Size and color as variation themes. Avoid splitting into separate parents per pattern unless they're functionally different products. Single parent with deep child SKUs maximizes review aggregation and reduces ad-spend cannibalization.
Creative-led, heavily UGC-driven. Meta and TikTok prospecting on broad audiences with strong on-model content. Catalog ads for retargeting. Retention through Klaviyo with abandoned-cart, browse-abandon, and new-collection campaigns. Apparel is one of the highest-LTV DTC categories when retention is run properly.
Yes. We manage Amazon Fashion enrollment, Premium Brand Storefronts, and the Try Before You Buy program where eligible. Amazon's fashion-specific surfaces have meaningfully better conversion than the standard PDP for brands that qualify.
We operate apparel on Amazon and DTC at every scale. Send us your top 10 SKUs and DTC site. We'll audit variations, returns, creative, and retention and send back a written plan.
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