Fashion ecommerce marketing agency

Returns are the economics of this industry, and most apparel stores measure them too late and too coarsely. A style that sells well and comes back at twice the rate of the rest of the range is losing money on every order once outbound shipping, return shipping, inspection and markdown are counted. We report revenue net of returns by style, by size and by acquisition channel, and we treat the size guide, the model measurements and the fabric description as revenue pages rather than as footnotes. When the guide is built from garment measurements instead of tag sizes, and the page says what size the model wears and how tall they are, the return rate moves before any ad spend changes.

Search demand in fashion is written in garment language, not brand language. People type the item, the attribute and the occasion: black midi dress with sleeves, straight leg jeans 34 inseam, waterproof kids raincoat. Those queries belong to collection pages that exist for the attribute, carry real copy and are built from product data rather than from filter parameters. Variants are the technical trap: a dress in six colours and eight sizes is one product with one canonical URL, one item group in Merchant Center and one set of images per colour, and a store that lets each colour or each filtered view become its own indexable page ends up competing with itself for the query.

Shopping is stricter for clothing than for most categories. Google requires age_group, color, gender and size on apparel items in the United States and several other markets, and it disapproves or limits items that omit them; item_group_id ties variants together so one listing shows the right colour and size; size_system and size_type tell Google whether a 10 is US or UK and whether it is petite, plus or tall. Meta's catalog ads depend on the same variant discipline plus images that show the exact colour being served. Policy adds another layer in swimwear, lingerie and activewear, where imagery rules decide what runs at all.

Stock is finite and the calendar never stops moving. A season, a drop, a wedding weekend or a religious holiday each creates a demand curve with a start, a peak and a cut-off, and ad budgets, email sends and merchandising have to be paced to sell-through rather than to a flat monthly number. The store that spends evenly through August is paying full price for clicks on garments it will mark down in September. We build the launch, back-in-stock, size-alert and end-of-season flows that turn a calendar into a plan, and we pull spend off styles that are selling out on their own.

The niche pages below carry the specifics, because a streetwear brand running drops has almost nothing in common with a workwear brand supplying crews, and a swimwear brand selling into two hemispheres runs a different calendar from a denim brand selling the same five fits every month. Each page sets out who buys, how the search demand is shaped, what the feed and the ad policies require, how the product page has to be built, where the retention cycle sits and where the revenue leaks in that niche.