The Face Shop Double Cleanse Combo | Rice Water Bright Foaming Cleanser (150ml) + Rice Water Bright Light Cleansing Oil (150ml)
Price: ₹1,880 - ₹1,573.00
(as of Feb 09, 2025 08:16:27 UTC – Details)



Brightening, deep-foaming cleanser effectively cleanses away makeup as the whipped cream texture gently envelops the skin. The Faceshop Rice Water Bright Cleansing Foam is formulated with natural cleansing agents including Rice Extract and Soapwort Extract, it leaves skin looking clear and bright. The Face Shop Rice Water Bright Light Cleansing Oil is a brightening deep cleansing oil that effectively cleanses away impurities and heavy makeup from the skin with its light watery texture. The plant based ingredients such as rice bran oil and jojoba oil, it keeps the skin looking clean and bright. This cleansing oil is formulated without mineral oil.
Product Dimensions ‏ : ‎ 11 x 9 x 13 cm; 300 g
Date First Available ‏ : ‎ 27 December 2021
Manufacturer ‏ : ‎ LG Household & Healthcare Ltd,
ASIN ‏ : ‎ B09P82CZ81
Country of Origin ‏ : ‎ Republic of Korea
Manufacturer ‏ : ‎ LG Household & Healthcare Ltd,, LG Household & Healthcare Ltd
Packer ‏ : ‎ The Face Shop, 765 2 sunhwan-ro,Heungdeok-gu,Cheongju-si,Chungchengbuk-do, Korea
Importer ‏ : ‎ Holistique Beauty Products Pvt Ltd, 509, Shah & Nahar, Off Dr.E-Moses Road,Worli,Mumbai-400018
Item Weight ‏ : ‎ 300 g
Item Dimensions LxWxH ‏ : ‎ 11 x 9 x 13 Centimeters
Net Quantity ‏ : ‎ 300.0 millilitre

✅This gently cleansing foam offers your skin a clear and even complexion
✅Enriched with rice water (contains Vitamin A, B, E and ceramide that hydrates the skin even after cleansing)
✅Cleanses the skin without irritation, thanks to its creamy texture
✅Gentle and moisturizing rich deep-cleansing oil for normal to dry skin
✅Skin feels softer, smoother and looks bright and refreshed

Customers say

Customers find the skin cleansing agent effective for dry and sensitive skin. It brightens their complexion and removes makeup easily. They consider it a good product at a fair price.

AI-generated from the text of customer reviews