Price: ₹745 - ₹495.00
(as of Feb 18,2025 22:28:52 UTC – Details)
Product Dimensions : 6.5 x 6.5 x 6.8 cm; 30 g
Date First Available : 17 April 2023
ASIN : B0C2PJXRK7
Item model number : SSKUMSR30
Country of Origin : India
Item Weight : 30 g
Item Dimensions LxWxH : 6.5 x 6.5 x 6.8 Centimeters
Net Quantity : 30.0 millilitre
Generic Name : Face serum
HELPS REPAIR DULL & DAMAGED SKIN: This oil is made with Goat’s Milk (rich in vitamins A, E & fatty acids) & Kesar which minimizes dullness. Sandalwood and Manjistha have anti-septic properties that promote skin repair
MAKES SKIN FLAWLESS AND RADIANT: Herbs like Lotus, Padmaka (Himalayan Cherry), Manjistha & Kesar classified under Varnya herbs in Ayurveda have skin-brightening properties. Yashtimadhi has antioxidative properties that fight damage caused by pollution and the sun. These ingredients together help even out your skin tone giving you a radiant & glowing skin
HYDRATES SKIN AND PROVIDES DEEP MOISTURIZATION: The Glycerine base & the humectant properties of Lotus lock in moisture, keeping the skin moisturized. This serum isextremely lightweight and non-sticky
FIGHTS SIGNS OF AGING, SMOOTHENS FINE LINES, AND WRINKLES: Kumkumadi Tailam is known to attack all the signs of aging like dark spots, fine lines, wrinkles, dry, dull, and damaged skin
100% PURE AND AYURVEDIC: Sesa Kumkumadi Face Oil is made of 100% Pure Kumkumadi Thailam and is prepared using an ancient Ayurvedic recipe as given in Ashtanga Hriduya (Ashtang Hridayam). This recipe is made using authentic Khir Pak Vidhi, by boiling handpicked herbs like Kesar, Lotus (Padma), Sandalwood (Chandan), Manjistha, Yashtimadhu etc., and selected oils in pure goat’s milk. This potent formulation has properties like moisturization, depigmentation, and anti-aging
Customers say
Customers find the skin serum effective for improving skin texture and glow. They report that it absorbs well, leaving their skin smooth and soft, even-toned, and glowing. The product is praised as good quality and an original product.
AI-generated from the text of customer reviews
