Price: ₹950 - ₹579.00
(as of Jan 10,2025 04:16:07 UTC – Details)
Product Dimensions : 10 x 10 x 10 cm; 45 g
Date First Available : 14 September 2024
Manufacturer : DEDOX SKINCARE
ASIN : B0DH23T1DS
Item part number : DX01BMASK
Manufacturer : DEDOX SKINCARE
Packer : DEDOX SKIN CARE hello@dedox.co
Importer : DEDOX SKIN CARE hello@dedox.co
Item Weight : 45 g
Item Dimensions LxWxH : 10 x 10 x 10 Centimeters
Net Quantity : 1 count
Generic Name : 1 Mask 45g
Korean Glass Skin: INDIA’S No. 1 OVERNIGHT BIO-COLLAGEN FACE MASK for Achieving the Korean Glass Skin Look. Add our Overnight Face Mask to your skincare routine to get the glowing, glass-like skin you’ve always dreamed of. Get ready to embrace The Future of Skincare, overnight!
Collagen Boost for Skin Firmness: Infused with 50,000 ppm of Collagen, this mask enhances your skin’s elasticity, reducing the appearance of fine lines and wrinkles while tightening sagging skin for a firmer, lifted look
Cutting-Edge Korean Formulation: Experience the innovation of Korean skincare, renowned for its advanced ingredients and techniques. Our mask locks in 100% moisture while delivering active ingredients deep into the skin for maximum effect
Comprehensive Skin Repair: This high-performance overnight mask helps minimize pores, fortify the skin barrier, and repair damage, unveiling smoother, more luminous skin by morning
Effective Skincare: DEDOX skincare products are designed to offer a balance of powerful ingredients and enduring results, ensuring you achieve more than just temporary improvements.
Korean Skincare Innovation: Crafted with advanced Korean skincare technology to deliver premium quality and effective results.
Customers say
Customers find the skin treatment mask effective and hydrating. It provides long-lasting hydration and an instant glow. They mention it makes their skin look plump and radiant. The moisturizing effects are superior, and the hydration is long-lasting. Many customers say it’s perfect for dry skin and that the scent could be more subtle.
AI-generated from the text of customer reviews
