Kitsch Satin Sleep Mask – Eye Mask for Sleeping, Softer Than Silk Satin Blindfold and Sleep Masks for Women and Men, Eyemask and Eye Cover for Sleeping Travel Essentials, Valentines Gift – Charcoal

Price: $12.99
(as of Jan 25, 2025 23:04:24 UTC – Details)
From the brand
A Glimpse of our Goodies
A Glimpse of our Goodies
A Glimpse of our Goodies
Product Dimensions : 4.5 x 1.25 x 5.5 inches; 2.08 ounces
Item model number : 6240
UPC : 819677026240
Manufacturer : Kitsch
ASIN : B09GYPT47K
Country of Origin : China
ELEVATE YOUR BEAUTY REST: Upgrade your nighttime routine with the Kitsch Charcoal Satin Eye Mask. Crafted with ultra-soft satin, this luxurious sleep mask ensures ultimate comfort while protecting your skin. It’s a must-have accessory for beauty and relaxation.
GENTLE ON ALL SKIN TYPES: This soft Satin eye mask for sleeping is ideal for travel, home, flight, train, or anywhere where light disrupts your sleep.
PROMOTES RESTFUL SLEEP: The padded softness of the material gives you a comfortable night rest, all while looking chic.
SOFT AND EASY TO USE. Our soft satin blindfold with the elastic strap keeps the sleeping mask in place and adjusts to fit your head for comfort.
THE PERFECT GIFT FOR BEAUTY & RELAXATION: Treat your loved ones to the gift of restful sleep with the Kitsch Charcoal Satin Eye Mask. Its luxurious satin design not only promotes beauty sleep but also adds a touch of elegance to any nighttime routine. Ideal for birthdays, holidays, or self-care packages, this eye mask is the ultimate gift for those who value comfort, style, and wellness. Give the gift of comfort and relaxation!
Customers say
Customers appreciate the comfortable and relaxing sleep mask. They find it soft, plush, and padded for extra comfort. The mask blocks out light effectively and provides complete darkness. Many customers report that it helps them get quality sleep, especially for side sleepers. While most customers appreciate the fabric quality and coverage, some dislike the thickness and disagree on the size.
AI-generated from the text of customer reviews