







Price: £5.99
(as of Dec 19, 2024 03:38:09 UTC – Details)

Category: face wash hairband
Color: green
Material: coral fleece
Features: soft, non-slip, elastic, breathable, it will not hurt your head even if you wear it for a long time, great hair accessories
Make your life convenient and comfortable, helpful to wear while doing spa, sports, yoga, washing face, bathing, makeup, working, reading, etc.
Individual size:
Hairband: eyes length 10cmcm, hairband diameter 19.5cm, width 5.5cm, stretchable up to 27cm
Product Dimensions : 25 x 17 x 2.2 cm; 50 g
Manufacturer : Molain
ASIN : B0CBTKZ6SX
Item model number : ML-7YREV2
Country of origin : China
Package includes: You will received 1 piece of coral fleece hair band, which design with cute Palm and Snail, looking adorable, also comfortable to wear, helping to fix your hair.
Creative design: Our headband with a lovely Palm and Snail at the top, which will keep your hair neat and tidy and at the same time make you look extremely sweet and adorable, a necessary hair accessory for girls and women with long or medium long hair.
Soft material: The headband Made of good quality coral fleece, soft and durable , provides outstanding touch feeling and hygroscopicity. The soft loop headband cover is comfortable and you’ll want to wear it all day long.
Elastic Headband: The facial spa headband is of good elasticity, can be stretched to 12 inch, easily to fit your head size, perfect for kids’ and adults’ use.
Wide applications: The headband is good accessory for doing spa, sports, yoga, running, face-washing, taking shower and makeup, also convenient for you to work, read and other scenes, helpful to fix your hair, the Mask Brush suitable for facial mask, peel, serum, and other skincare products.
Customers say
Customers find the hairband has a cute and lovely look. They appreciate its good quality, durability, and functionality. Many find it fun and practical, adding a little joy to their routines. The softness is also appreciated. However, opinions differ on the size.
AI-generated from the text of customer reviews