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The oil blend consists only of natural vegetable oils, and the fatty acids contained in them have been specially selected for medium to medium hair high porosity hair
Extremely reduced puffiness and effective reduction of dark circles under the eyes
Use the unique formula of snow algae and guarana extract with a high caffeine content, thanks to which you will take care of your skin and effectively remove puffiness under the eyes. The unusual combination of natural ingredients will provide the skin with exceptional care - especially in the most delicate places. Concentrated nutrients soaked in velvet eye patches made of natural tea fiber fabric are primarily:
- Incredible relief and relief for tired skin around the eyes.
- Extremely reduced puffiness and effective reduction of dark circles under the eyes.
- Smoothed expression lines and subtly radiant skin.
Remove the petals from the package. Carefully stick the patches under the eyes on cleansed skin, then remove the protective layer and leave for 20 minutes. After removing the pads, gently massage the rest of the preparation into the skin and wait for complete absorption. Use 2 times a week. If you want to optimize the effect of the flakes - cool them in the fridge before use.
Aqua , Sodium Acetyiated Hyaluronate, Sodium Hyaluronate, Sodium Hyaluronate Crosspolymer, Hydrolyzed Sodium Hyaluronate, Coenochloris Signensis Extract, Martodextrin, Lecithin, Paullinia Cupana Fruit Lctract, Propanediol, Glycerin, Jasminum Sambac ( Jasmine ) Flower Extraa Crataegus Monogyna Flower Extract, Benzyl Alcohol, Sa lilic Acid, Sorbic Acid. The current composition is given on the product packaging
The oil blend consists only of natural vegetable oils, and the fatty acids contained in them have been specially selected for medium to medium hair high porosity hair
< strong >The jeju series is to support you in taming rebellious skin:
Surround yourself with their fresh, juicy aroma and enjoy exotic care
An emulsion created especially for atopic skin with a tendency to dryness and its symptoms
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