Most off-the-shelf products centered around customized haircare limit consumers to settling on just one area of concern, such as deeply moisturizing the hair or boosting its volume. 'Mon Shampooing' sets itself apart by approaching haircare in an entirely different way that acknowledges that even options specifically for dry, frizzy, thin or colored hair rarely suit the needs of all consumers.
Mon Shampooing's personalized haircare system includes a gentle, free-from shampoo and conditioner, which can be combined with vials of purposefully blended essential oils and vegetable oils. Those with oily hair have the ability to enhance their hair-cleansing rituals with a mixture of mint, rosemary and jojoba, while those with delicate hair may benefit from using Mon Shampooing's blend of lemon, lemongrass and sweet almond. Due to the nature of this system, more than one vial can easily be mixed with a base shampoo or conditioner to create a solution that's perfectly suited to specific haircare needs.
Customized Haircare Systems
'Mon Shampooing' Pairs Shampoo, Conditioner & Essential Oil Boosters
Trend Themes
1. Personalized Haircare - Haircare is moving towards personalized products that cater to individual needs, rather than one-size-fits-all solutions.
2. Essential Oil Blends - Blending essential oils into haircare products provides opportunities for new fragrances and benefits such as scalp stimulation.
3. Eco-friendly Haircare - Consumers are becoming more aware of the environmental impact of haircare products, leading to a demand for sustainable and natural alternatives.
Industry Implications
1. Beauty - The beauty industry has the opportunity to create more personalized haircare systems with essential oil blends and eco-friendly ingredients.
2. Wellness - Wellness industry leaders can capitalize on the trend towards natural, sustainable haircare solutions with added benefits such as essential oils.
3. Technology - There is an opportunity for tech companies to develop personalized haircare systems using AI and machine learning for even more precise formulations and recommendations.