Price: $8.98
(as of Jun 17, 2024 22:38:37 UTC – Details)
✿【PERFECT SIZE AND SMALL CAPACITY】Our initial makeup bag measures 7.1×4.3×3 inches, easy to carry. This preppy toiletry bag is made of soft PU leather and easy to clean. The cute capacity bag can also easy to store small items such as makeup, makeup brushes, skincare products, lipstick, eye shadow, eyebrow brush, etc. And travel small cosmetic bag can organize or protect your things.
✿【MULTIFUNCTIONAL STORAGE PACKAGE】The preppy cosmetic bag can be used as a toiletry bag or storage bag. Daily makeup, skin care samples, mobile phone can be put in the bag, and can also be used as a purse. The travel makeup bag can be used while traveling, because our makeup bags are lightweight and don’t take up a lot of space in your suitcase.
✿【PREPPY PATCH SKINCARE BAG】This monogram makeup bag is very cute. The unique design of the letter shape is very fashionable. The smooth zipper closure can accommodate daily skin care cosmetics. Whether it is a pocket bag or a single take shopping trip, this small travel cosmetic pouch with zipper is versatile and practical. Personalized preppy gifts for teen girls.
✿【LIGHT WEIGHT AND EXCELLENT WORKMANSHIP】The initial preppy makeup bag is made of soft PU leather and is comfortable, soft and lightweight. Makeup pouch folds up when not in use and fits in a large bag without taking up space. The metal zipper pull keep your items secure and organized inside.Chenille letter pouch for women girls.
✿【PERFECT GIFT】The cosmetic organizer is an ideal choice for travel, vacation, business travel, gym, camping, bathroom organization, and outdoor activities, is also very suitable as a gift for your friends, family, sisters around you. The chenille letter bag is the good choice for women and your family. Birthday gifts for daughter. Preppy stuff for teenager girls.
Customers say
Customers like the quality and appearance of the cosmetic case. They mention it’s durable, and made of great material. Some say it’ll be a good gift for pencils or pens.
AI-generated from the text of customer reviews