4F Ladies Cap Light Purple H4Z22 CAD014 52S (M)
More than 10 pieces in stock at supplier
Product details
The women's hat from 4F in light purple is a stylish and functional pom-pom beanie specifically designed for cold days. It not only offers an appealing look but also ensures optimal thermal comfort. The soft material, made from a blend of acrylic and wool, provides a pleasant wearing experience. The elastic cut adapts to the shape of the head and ensures a secure fit, while the pom-pom adds a playful touch. This hat is ideal for everyday use and complements any winter wardrobe. With its subtle logo and elegant color scheme, it is both practical and fashionable.
- Made from a high-quality blend of 75% acrylic and 25% wool for optimal comfort and warmth
- Elastic cut ensures a comfortable fit and secure hold
- Playful pom-pom adds a fashionable accent to the hat.
Exact colour description | Light violet |
Target group | Women |
Material composition | 25 % wool, Main fabric: 75 % acrylic |
Cap type | Pom-pom hat |
Item number | 33434451 |
Colour | Violet |
Exact colour description | Light violet |
Material composition | 25 % wool, Main fabric: 75 % acrylic |
Target group | Women |
Age group | Adults |
Cap type | Pom-pom hat |
Country of origin | Poland |
CO₂-Emission | |
Climate contribution |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Hats» category have a defect within the first 24 months?
Source: Digitec Galaxus- 4FNot enough data
- 1.Arc'teryx0 %
- 1.Barts0 %
- 1.Beechfield0 %
- 1.Carhartt0 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- 4FNot enough data
- Arc'teryxNot enough data
- BartsNot enough data
- BBBNot enough data
- BeechfieldNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Hats» category returned?
Source: Digitec Galaxus- 4FNot enough data
- 1.SIGN0.2 %
- 2.Schönenberger0.3 %
- 3.Gebol0.9 %
- 4.Kalenji1.3 %