Price: ₹650 - ₹454.00
(as of May 03, 2024 14:29:19 UTC – Details)
From the brand
Product Dimensions : 7.5 x 7.5 x 4.6 cm; 50 g
Date First Available : 15 February 2021
Manufacturer : Naturis for Pilgrim India
ASIN : B08WLSGJFC
Item part number : PGKNC1
Country of Origin : India
Manufacturer : Naturis for Pilgrim India
Item Weight : 50 g
Item Dimensions LxWxH : 7.5 x 7.5 x 4.6 Centimeters
Net Quantity : 50.0 gram
Generic Name : cream
✅Treats Signs of Ageing Reverses fine lines & wrinkles, fades sun spots and smoothens the complexion. This Anti Aging Night Cream is formulated with the best of ingredients that support repair and regeneration, to keep aging at bay!
✅Enhances Glow Refines the texture of the skin and improves appearance of blemishes and acne scars. This Anti aging cream for oily & dry skin, ultra-hydrating cream provides with moisture through the night to plump the skin and smooth out lines.
✅Youthful Skin Increases cell turnover rate to reveal fresh and youthful skin. Pilgrim Retinol anti aging cream for women is thoughtfully crafted to work synergistically with Night’s natural repair process and to enhance it.
✅SUITABLE FOR DRY, NORMAL, OILY, COMBINATION & SENSITIVE SKIN: Formulated using only the purest ingredients, this night cream for women anti ageing is ideal to be used for all skin types by both men and women.One of the features is Quick Absorbing.
✅NATURAL INGREDIENTS, NO TOXINS: Crafted following strict guidelines of THE PILGRIM CODE, this gel is FDA approved, Contains No Paraben, No Sulphate, No Mineral Oils as well as other harsh chemicals and is Cruelty free.
✅ Enriched with high level of minerals, it revitalizes, renews and hydrates the skin, resulting in a radiant, glowing complexion!
Customers say
Customers like the texture and absorption time of the skin moisturizer. For example, they say it improves skin texture and absorbs quickly into the skin without leaving a greasy residue. That said, some complain about the value. Opinions are mixed on the effect on skin, quality, and smell.
AI-generated from the text of customer reviews