Plus-size clothing marketing agency

Shopping campaigns for extended sizing work when the feed is honest about sizes and the titles carry the range. A title like Curve Wrap Midi Dress, Sizes 16 to 30, Emerald surfaces for size-specific searches and tells the shopper before the click that they are covered. We build campaigns by category and let the size attribute do the filtering, with negative keywords for petite and straight-size terms that waste spend. Search ads carry the fit promise for high-intent queries such as plus size jeans that fit hips, where the ad copy can state the grading approach in a way a Shopping tile cannot.

Stock by size matters more here than anywhere in apparel. If the 26 and 28 sell out first, the ads keep running against searches from people who wear those sizes and the click is wasted. We connect variant-level availability to campaign rules, so spend follows the sizes actually in stock, and we use the size chart feature in Merchant Center so Google can show fit information alongside the listing.

Meta's personal attributes policy prohibits ads that assert or imply things about a person, including body size. An ad that asks Are you plus-size or says Finally, clothes for your body will be rejected or, worse, run and offend. We write creative that describes the garment and shows it on models across the size range, so the audience recognises themselves without being addressed by their body. Targeting is by interest in the category and by your own customer data, not by any physical attribute.

TikTok try-on content from creators who state their size and height converts because it is the fit evidence shoppers were going to look for. We brief for honest reviews, including where a garment is snug, since a video that only praises looks like an ad. Retargeting sequences move from the try-on to the measurement table to the exchange policy. Comment sections in this niche fill with questions about specific sizes in stock; answering them quickly and publicly is part of the campaign, not customer service.

The feed attribute that matters most is size_type, which accepts values including regular, petite, plus, big, tall and maternity. Setting plus on the relevant variants lets Google match them to plus-size searches and filters. The size attribute should carry the label size you actually use, whether numeric like 24 or lettered like 3X, and size_system tells Google which country's convention that number follows, which matters when a UK 22 and a US 18 are the same garment. Every size and colour is its own item sharing an item_group_id, with gender and age_group set on each.

Upload your measurement chart through the size chart tool in Merchant Center so listings can show it. Images should show the garment on a body in the size range, and the color attribute must match what the image shows. Availability per size has to be accurate to the hour, because a shopper who clicks a listing for a 28 and finds only a 16 in stock is a wasted click and a lost customer. We set up the feed so variant stock updates flow through automatically rather than by daily export.

Shoppers ask assistants and search engines fit questions that are specific to body shape: best plus size jeans for an apple shape, wrap dresses for a large bust, which brands grade properly above a 24. A brand that publishes clear fit guides by shape and by garment, written from its own grading, becomes the answer. We build a fit hub with a page per garment type explaining how it is cut, what measurements to take, and which sizes suit which proportions, each page opening with the direct answer.

Collection pages exist per size range and per category with real copy, so Plus Size Jumpsuits is a page and not a filter. Product pages carry the measurement table as text and the model's size in text, which search engines and assistants can read and images cannot provide. Review content with usual size, height and fit notes is marked up so it can be surfaced. A brand page states the size range plainly and how the grading is done, which is the question behind most first visits.

Every flow should know the customer's size. The post-purchase sequence asks which size was kept after a bracket order, records it, and uses it from then on: new arrivals show items available in that size, restock alerts fire only for that size, and launches deep-link to it. A shopper who receives a new collection email full of pieces sold out in their size will stop opening.

Review requests ask for usual size, height and fit notes in plain fields, because that content lifts conversion on the product page more than any copy we can write. Exchange follow-ups check that the replacement fitted and invite a second style in the same cut. Win-back for this niche is best triggered by a restock in the customer's size of a style they viewed, rather than by a discount after ninety days. SMS is limited to size-specific restocks and launch access, where the message is short and the relevance is obvious.