Skin & hair type
Make characteristics and needs consistent in product data and filters.
Product data →Beauty
From skin type to shade: help beauty customers discover in a targeted way.
Beauty shoppers search by brand, product type, ingredient, need, shade, skin type and desired effect. Product data and discovery must understandably support all these routes.
Beauty Discovery
Use need and product features alongside brand names.
Colors & shades
Make color variants, finish and other relevant properties logically filterable.
Filters →Ingredients
Support ingredients such as search and filter attribute when they are reliably present in the source data.
Need questions
Longer questions around skin, hair or desired effect can benefit from semantic understanding.
AI Search →From discovery to optimization
Use search behavior to better understand product language and assortment.
Brands
Combine strong brand intent with product type, color and need context.
Discovery
Help orientation visitors with relevant refinement and alternatives without uncontrollable personalization claims.
Merchandising
Use campaigns and launches as an additional signal on top of relevant results.
Merchandising →Analytics
See what needs, ingredients, brands and product types customers really use.
Analytics →Test with real beauty queries and product features.
This way you can see where product data, filters and natural language can improve the search experience.