Be Wear 946151
10 pieces in stock at third-party supplier
Product details
The pom-pom beanie from Be Wear is a stylish and functional accessory for the cold season. It combines comfort and fashionable design, making it an essential companion for winter activities. Made from a high-quality blend of materials that includes 75% polyacrylic, 15% nylon, and 10% wool, this beanie offers both warmth and breathability. The one-size-fits-all design ensures that it is suitable for a variety of head sizes. With its characteristic pom-pom and appealing pink color, it adds a cheerful touch to any outfit. Whether you're taking a walk in the park or skiing in the mountains, this pom-pom beanie keeps your head warm while ensuring a stylish appearance. Made in Switzerland, it stands for quality and durability. The combination of functionality and attractive design makes this beanie an ideal accessory for the cold season.
Exact colour description | Rose |
Material composition | 10% Wool, 15% Nylon |
Cap type | Pom-pom hat |
Item number | 23563675 |
Colour | Rose |
Exact colour description | Rose |
Material composition | 10% Wool, 15% Nylon |
Age group | Adults |
Cap type | Pom-pom hat |
Season | Winter |
Size | One size |
Country of origin | Switzerland |
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- Be WearNot 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- Be WearNot 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- Be WearNot enough data
- 1.SIGN0.2 %
- 2.Schönenberger0.3 %
- 3.Gebol0.9 %
- 4.Odlo1.1 %