Ara Saas-Fee st
39Only 2 pieces in stock at third-party supplier
Product details
The Ara Saas-Fee St shoes, a stylish and classic derby model, offer enhanced walking comfort and an elegant design. Designed for formal or everyday occasions, these shoes are ideal for offices or important events. Their rubber sole provides a solid foundation, while the heated textile lining ensures optimal comfort for the feet. Careful details, such as the leather trimmings and visible stitching, add a touch of style and sophistication. The Ara Saas-Fee St shoes are available in black, an elegant and neutral color that suits all occasions.
Exact colour description | Black |
Material | Fabric, Leather, Synthetic velvet |
Sole material | Rubber |
Target group | Women |
Shoe type | Low shoe leisure |
Item number | 61313929 |
Manufacturer | Ara |
Category | Lace-ups |
Manufacturer no. | 12 49310-39 |
Release date | 26.8.2025 |
Colour | Black |
Exact colour description | Black |
Upper | Leather, Synthetic nubuck leather |
Material | Fabric, Leather, Synthetic velvet |
Sole material | Rubber |
Target group | Women |
Shoe type | Low shoe leisure |
Shoe size (EU) | 39 |
Country of origin | Portugal |
CO₂ emissions | 6.06 kg |
Climate contribution | CHF 0.14 |
Ingredients | Breathable leather. |
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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- AraNot enough data
- 1.Geox0 %
- 2.Hey Dude0.1 %
- 3.Josef Seibel0.2 %
- 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- AraNot 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- AraNot enough data
- 1.Geox9.7 %
- 2.Skechers9.9 %
- 3.Ecco12 %
- 4.Bugatti12.8 %