Bopy Ugoline
18Only 3 pieces in stock at third-party supplier
Size2
Product details
The Ugoline ankle boots from the brand Bopy are designed for your little ones' first steps. These Velcro boots are stylish and versatile, perfect for everyday wear. Their chic and comfortable style makes them ideal for school outings or family walks. The Ugoline are carefully crafted with a mix of nubuck and leather for the upper material. The leather lining ensures optimal comfort, while the rubber sole provides exceptional durability. The two adjustable Velcro straps allow you to adapt to your child's size, while the cute heart-shaped patches add a decorative touch. The Ugoline are available in a lovely navy blue color that will appeal to all little boys and girls. They are designed to be practical and easy to wear, with a flat sole that makes walking easier. Ugoline are a great option for parents looking for a comfortable and durable shoe for their children.
Exact colour description | Navy Blue |
Upper | Leather |
Material | Leather, Nubuck leather upper |
Target group | Baby |
Colour | Blue |
Exact colour description | Navy Blue |
Upper | Leather |
Material | Leather, Nubuck leather upper |
Sole material | Rubber |
Lining | Leather |
Target group | Baby |
Boot type | Ankle boots |
Shoe size (EU) | 18 |
Fastener | Velcro fastener |
CO₂ emissions | 20.72 kg |
Climate contribution | CHF 0.49 |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Boots» category have a defect within the first 24 months?
Source: Digitec Galaxus- BopyNot enough data
- 1.Palladium0 %
- 1.Quechua0 %
- 1.Skechers0 %
- 4.Blundstone0.1 %
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- BopyNot enough data
- 1.Dr. Martens0 days
- 1.Kamik0 days
- 1.Sorel0 days
- 4.Ugg1 day
Return rate
How often is a product of this brand in the «Boots» category returned?
Source: Digitec Galaxus- BopyNot enough data
- 1.Playshoes3.9 %
- 2.Cat12.1 %
- 3.Skechers16.9 %
- 4.Quechua17.7 %