Product details
The Lauren-R fleece pullover from Rehall combines comfort and style in a modern design. With its soft fleece material, it offers a pleasant feel and warmth, making it ideal for outdoor activities or relaxed days at home. The pullover features a trendy, oversized cut that is not only fashionable but also allows for freedom of movement. The shorter length adds a casual touch, making it a versatile piece that can be easily paired with other clothing. The pullover collar provides additional comfort and protection against cool winds. The Lauren-R is an excellent choice for those who value functionality and style.
- Oversized cut for optimal freedom of movement
- Made from 100% polyester for high wearing comfort
- Pullover collar offers extra protection against the cold
- Versatile for outdoor activities and leisure.
Exact colour description | Stormy Sea |
Material composition | 100% polyester |
Target group | Women |
Colour | Blue |
Exact colour description | Stormy Sea |
Material composition | 100% polyester |
Upper | Polyester |
Target group | Women |
Sweater type | Fleece sweater |
Clothing size | S |
Fastener | Zip |
Pattern | Unicoloured |
Sleeve length | Long sleeves |
Collar shape | Banded collar |
Fit | loose fit |
Style | Outdoor |
Special sizes | Normal size |
Country of origin | China |
Compare products
Goes with
Reviews & Ratings
Warranty score
How often does a product of this brand in the «Sweaters» category have a defect within the first 24 months?
Source: Digitec Galaxus- RehallNot enough data
- 1.Armedangels0 %
- 1.Awdis0 %
- 1.Cash-Mere0 %
- 1.Clique0 %
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- RehallNot enough data
- 1.Christmas Sweats0 days
- 1.Selected0 days
- ArmedangelsNot enough data
- AwdisNot enough data
Return rate
How often is a product of this brand in the «Sweaters» category returned?
Source: Digitec Galaxus- RehallNot enough data
- 1.vidaXL3.2 %
- 2.Name it4.5 %
- 3.Difuzed4.6 %
- 4.Vertbaudet5.3 %