Hair extension & wig marketing agency

Extension and wig search is a specification: 613 lace front wig 24 inch, 1B body wave bundles with closure, glueless bob wig. Shopping matches those queries against the title and the variant attributes, so titles carry colour code and name, length in inches, texture, construction and whether the hair is human or synthetic, in that order. Each colour and length is a separate offer grouped by item_group_id.

Search campaigns follow the same vocabulary. Ad groups by construction and texture, with colour and length as modifiers, and landing pages that show the exact unit. Copy states the two things the shopper is weighing before the click: whether it is human hair and what the delivery time is, because much of the category ships from overseas and the shopper has been burned by long waits.

Two ad-policy points are specific here. Images with heavy text overlays and collage-style photos are common in this category and get disapproved; product images must be clean. And any positioning around medical hair loss, such as wigs for alopecia or chemotherapy, has to avoid targeting people on that basis under Google's personalised advertising rules, even though the product is genuinely helpful for them; the page can speak to it, the audience targeting cannot.

This category lives on video. The install from start to finish, the melt of the lace, the wear test at day one, day seven and day thirty, the shade held up in daylight against natural hair. Creators are chosen by hair texture and skin tone because the viewer is matching themselves against the model, and the lace colour has to be shown on a tone like theirs. Creative that shows the unit on a mannequin sells less than the same unit on a person.

Meta and TikTok policy is mostly about honesty in results and in the shopper's self-image. Ads should not imply the viewer's natural hair is inadequate, and before-and-after framing should be about the style, not about hiding a condition. Where the store serves people with medical hair loss, the creative can speak respectfully to that need but the targeting cannot select for it.

Retargeting is long in this category because the decision is slow. Someone who watched an install video sees the colour-match offer; someone who added to cart sees the instalment option and the delivery date; someone who bought sees the care kit and, months later, the next unit. Creators' comment sections are monitored, because that is where the how-does-it-hold-up questions get asked and answered.

The extension and wig feed has a variant problem that most templates were not built for. Colour must be a text value Google recognises, so 613 becomes a colour attribute of blonde with the code kept in the title; 1B becomes off black or natural black. Length in inches goes in the size attribute so that size filtering works. Texture and construction, body wave, straight, lace front, closure, glueless, go into product detail pairs and the title.

Material is where human versus synthetic is declared, and it is one of the attributes the shopper filters on. Density and cap size are product detail pairs. Each colour and length combination is its own offer under one item_group_id, with its own image showing that colour, not the hero colour reused.

Disapprovals cluster around images: text overlays, watermarks, collages and stock renders all fail, and photos of the unit on a model are fine as long as the product is clearly the subject. Bundles of hair sold in sets of three with a closure are submitted with is_bundle set and a title that says so. Shipping times must be accurate for stock that ships from overseas, because a promised week that turns into three is both a policy violation and a chargeback.

The pages that rank in this category are guides. A length guide with photos of each inch count on a model of average height, a colour chart with codes shown in daylight, a construction explainer on lace front versus closure versus full lace, a density guide. These take the research queries and hand the shopper to the right product with the decision already made.

Shoppers ask AI assistants how long a lace front wig lasts, how to tell human hair from synthetic, what density looks natural, whether glueless wigs stay on, how to wash extensions, and whether extensions damage natural hair. Assistants answer from pages that state a direct answer and a range, and they are wary of pages that only sell. Writing the honest maintenance and lifespan answers, including what shortens them, is what earns the citation and the click.

Product pages carry colour code and name, length, texture, construction, material, density, cap size and the exact contents of the pack, with the care instructions in text. Structured data lists each variant as an offer with its colour and size. Reviews with photos are marked up where they are genuinely on the page.

Repeat in this category is two flows. The first is the care cycle: the shampoo, conditioner, glue, remover and edge products that the customer uses between installs. Those run out on ordinary consumable timers and get reorder messages with a one-tap buy. A customer who bought a wig and never hears about the care kit buys it elsewhere.

The second is the next unit. Extensions worn continuously are replaced every few months; wigs last longer with care. The flow asks, at a sensible interval, how the unit is holding up, offers a care tip, and then presents the next unit in the same colour and length, or the new texture in that colour, when the replacement window opens. It is the highest-value email the store sends.

Pre-purchase email matters more here than in most niches. An abandoned cart on a high-ticket unit gets a message offering colour matching from a photo, the instalment option and the delivery date, because those are the three reasons the cart was abandoned. SMS carries shipping updates and the colour-match reply, which is where this shopper is waiting.