Highlights
- Thickening conditioner for fine or thinning hair
- 97% natural, vegan & cruelty-free
- With pea extract, hyaluronic acid & piroctone olamine
- Lightweight, non-silicone formula for everyday use
- Helps smooth cuticle & retain hydration
- Dermatologically tested
- Suitable for sensitive scalps
Description
Noughty Get Set Grow Vegan Thkng Cond 250ml Directions For Use: Apply to damp hair after shampooing. Focus on mid-lengths to ends. Leave for 2–3 minutes, then rinse thoroughly. Avoid applying directly to the scalp.Top Tips: For fuller-feeling results, use alongside the Get Set, Grow Shampoo and Serum as part of a complete routine.Support finer strands with this 97% natural thickening conditioner, designed to lock in moisture and help hair feel soft, strong, and full.Blended with pea extract, hyaluronic acid, and piroctone olamine. This creamy formula helps reinforce the hair structure and smooth the cuticle, improving softness and shine. With a slightly acidic pH, it helps seal the cuticle after shampooing. Essential for moisture retention and frizz control.Consumer User Trial Results:- 87% of users noticed their hair felt thicker and looked fuller.- 87% of users said the Serum was light enough to use daily.- 84% of users agreed that Noughty's Get Set Grow routine will give your hair more volume.- 80% of users felt more confident about their hair after using Noughty's Get Set Grow routine. *12 week consumer study on 109 women and men using the shampoo, conditioner and tonic.Silicone-free and lightweight, it won’t weigh hair dow. Making it ideal for daily use on fine or thinning hair types.Dermatologically tested, vegan and cruelty-free.
Noughty strikes the perfect balance between high-performance formulations that deliver, with thoughtful values around people, paws and planet. Each Noughty product is cruelty free and made from at least 97% natural ingredients, as well as being free from sulphates and silicones. Noughty’s mission? To improve hair and scalp health one follicle at a time.
Pack size: 250ML