Gabor Slipper 42.444.32
37Only 1 piece in stock at third-party supplier
Product details
The Gabor slippers 42.444.32 combine comfort and style in an appealing design. These loafers are made from high-quality suede, which not only provides an attractive look but also a pleasant feel. The round toe and soft textile lining offer additional comfort, while the rubber sole ensures good traction. These slippers are ideal for everyday wear and can be easily paired with various outfits. They come in an elegant beige tone that effortlessly fits into any wardrobe. Whether for a relaxed day in the city or a casual evening out, these loafers are the perfect choice for fashion-conscious women.
Exact colour description | Beige |
Material | rauleder, Textile lining, TR |
Sole material | Rubber |
Target group | Women |
Shoe type | Slip-on shoes |
Item number | 44815766 |
Manufacturer | Gabor |
Category | Lace-ups |
Manufacturer No. | 42.444.32-37 |
Release date | 10.4.2024 |
Colour | Beige |
Exact colour description | Beige |
Upper | Leather |
Material | rauleder, Textile lining, TR |
Sole material | Rubber |
Target group | Women |
Shoe type | Slip-on shoes |
Shoe size (EU) | 37 |
Toe | Round |
Country of origin | Slovakia |
CO₂ emissions | 8.75 kg |
Climate contribution | CHF 0.22 |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Lace-ups» category have a defect within the first 24 months?
Source: Digitec Galaxus- GaborNot enough data
- 1.Geox0 %
- 1.Josef Seibel0 %
- 3.Hey Dude0.2 %
- 4.Bugatti0.3 %
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- GaborNot enough data
- AffenzahnNot enough data
- BugattiNot enough data
- ClarksNot enough data
- Dr. MartensNot 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 «Lace-ups» category returned?
Source: Digitec Galaxus- GaborNot enough data
- 1.Geox8.5 %
- 2.Skechers9.2 %
- 3.Ecco13.3 %
- 4.Pitas13.5 %