Price: ₹595 - ₹267.00
(as of Nov 09, 2024 07:06:06 UTC – Details)
Old Fashion is a milk chocolate brown shade that will leave them swooning for more. It is also PETA Approved cruelty-free and vegan. Play up those pouts with hues for every mood. With the LIT Creamy Matte Lipsticks by MyGlamm, we’ve got the best of both worlds – a mad matte finish in an oh-so-creamy texture! You also get long-staying power and intense colour payoff – what else could a girl ask for? The controlled slimstick design ensures perfect precision with every swipe of colour – no smudges!
Product Dimensions : 8.8 x 1.85 x 1.85 cm; 3.7 g
Date First Available : 20 August 2019
Manufacturer : Regi India Cosmetics Pvt. Ltd.
ASIN : B07WNQMB5H
Item model number : 8906095883004
Country of Origin : India
Manufacturer : Regi India Cosmetics Pvt. Ltd., Regi India Cosmectics Pvt Ltd., C-08, Sara Industrial Estate Ltd., Chakrata Road, Rampur, Selaqui, Dehradun- 248197 ,Contact no:022-62593200, Email Id – care@myglamm.com
Packer : Regi India Cosmectics Pvt Ltd., C-08, Sara Industrial Estate Ltd., Chakrata Road, Rampur, Selaqui, Dehradun- 248197 ,Contact no:022-62593200, Email Id – care@myglamm.com
Importer : Sanghvi Beauty & Technologies Private Limited, 1st Floor, Unit 101, DTC Building, Sitaram Mills Compound, NM Joshi Marg, Chinchpokli, Mumbai City, Maharashtra, 400011
Item Weight : 3.7 g
Item Dimensions LxWxH : 8.8 x 1.8 x 1.8 Centimeters
Net Quantity : 3.0 gram
Included Components : 1 U Lipsticks
Generic Name : Lit Creamy Matte Lipstick
Demi-matte creamy lipstick
Long lasting lipstick with a luxurious creamy and satin feel
Blend of minerals and plant waxes for moisturised lips
Vegan lipstick; free from harmful nano ingredients
Customers say
Customers like the longevity, texture, brightness, and color length of the lipstick. They mention it’s best for everyday use and is waterproof. However, some customers have reported that the product is drying on the lips. Opinions are mixed on the color quality, lipstick quality, and value for money.
AI-generated from the text of customer reviews