By industry

Beauty and personal care catalogs: clear data, no empty promises

In short

In beauty and personal care, buyers check the shade, net content, ingredients and directions before buying. A good catalog stores that data as attributes, handles shades as variants with their own photo and writes descriptions that inform without promising results the brand cannot back up.

What beauty buyers check

Someone buying a lipstick, a cream or a shampoo wants to know whether it is right for them: the exact shade, the skin or hair type, the content, the ingredients and how to use it. Online they cannot try it, so the product record and photos have to answer those questions.

The attributes that matter

  • Shade or color, with its name and photo.
  • Net content, with its unit (milliliters or grams).
  • Skin or hair type it is meant for.
  • Ingredients, in the list the manufacturer declares.
  • Directions and precautions.
  • Finish, coverage or texture, depending on the product.

Each type of product has its own: makeup needs shade and finish; a shampoo, hair type and content. Attribute families keep that in order.

Shades as variants

The same product can be sold in dozens of shades. Treating each shade as a variant of a parent product, with its own SKU and photo, avoids duplicating the record and lets buyers see every shade in one place.

Describe without promising

In this industry it is easy to slip into promises: “erases wrinkles”, “guaranteed results”. A claim the brand cannot back up is a legal and reputational risk, and it also erodes trust. A good description says what the product is, who it is for and how to use it, and keeps the manufacturer's data in attributes.

How Bruxel handles it

In Bruxel every product has typed attributes by family, with its shades as variants and completeness measured product by product. Descriptions are generated from the product's real data in your brand voice, including the words your brand never uses, and nothing is published without review. Images get alt text written by AI.

Where to start

Start with the products that have the most shades or sizes. Check that each shade is a variant with its name and photo, that net content has its unit and that ingredients are captured as the manufacturer declares them. Then review descriptions with one simple question: can every claim be backed up? Anything that cannot comes out. A shorter, truthful product record sells better than one full of promises.

Frequently asked questions

How do I handle a product sold in many shades?

As variants of a parent product: each shade with its own SKU, name and photo. That way the store shows one product with a selector, and each channel receives the complete group.

What should I be careful about in descriptions?

Don't promise what you cannot back up: health results, guaranteed effects or unsourced comparisons. Describe what the product is, how it is used and what the manufacturer states, and let the data speak.

Try it with your catalog

Create your free account and try Bruxel with your own products using the welcome credits.

From the blog

Beauty and personal care catalogs: clear data, no empty promises