Reusable Makeup Remover Pads| Bamboo Fiber Organic Cotton Pads Face| Face Cleaner and Eyes Make Up Remover Pads Zero Waste Washable| for All Skin Types | 1 Laundry Bag+1 Storage Bag| 16 Pcs
Brand: CT CAPETRONIX
❤️ Natural Organic Material: The reusable makeup remover pads are be made of 80% special natural bamboo fiber fabric and 20% velvet cotton, the cotton rounds is divided into two layers. These reusable cotton pads suitable for dry, oily and sensitive skin. It can gently, naturally and effectively remove all your waterproof makeup, leave your skin smooth, soft, clean and fresh. These cotton pads can be used for women, men even babies!
❤️ Effectively: Just adding warm water to wet the pad then gently moving makeup pads in a circular motion and flipping the cloth over until all makeup is removed. The soft reusable cotton pads are effectively to clean deep into your pores and effectively pull all of makeup, sunscreen, chemicals, cosmetics out, it is advanced facial remover pad, effectively cleaning eye and eye shadow makeup remover, mascara makeup remover and lipstick etc.
❤️ Eco-friendly & Zero Waste Lifestyle: Bamboo Fiber is an eco- friendly material. Organic make up remover cotton pads can be used multiple times. Keep single-use plastic and disposables out of our oceans and landfills. After removing makeup just rinse the makeup remover pads with water, the cotton rounds will become as clean as new. Washing in a washer is appropriate, round cotton pads should be put in the laundry bag to avoid missing during washing.
❤️ Cost-effective: The 16 pieces reusable makeup remover pads with 2 bags can be used up to 1000 times. These makeup cotton rounds are approximately 8.5 cm / 3.35 inches in diameter, portable, and easy to use. Laundry bags and storage bags are 7 x 10 inches in size. The makeup remover cloths will serve you for a long time.
❤️ After-sales: We have a Professional after-sales team. If you have any questions, do not hesitate to contact us via e-mail and we will reply within 24 hours. We are very happy to serve you.