Pikolinos Marbella
41Only 4 pieces in stock at third-party supplier
Colour3
Size7
Product details
The Pikolinos Marbella shoes for men have updated the concept of summer with their new last, providing great comfort with every step. A simple loafer that combines comfort and elegance, perfect for anyone looking for an essential design in their wardrobe. Additionally, the hand-stitched straps make the shoe even more flexible and better conform to the foot. A functional design that is comfortable and very lightweight, making it ideal for any summer occasion.
Exact colour description | Navy Blue |
Material | Insole: leather / removable, Outsole: rubber, Upper material: Leather |
Sole material | Rubber |
Target group | Men |
Shoe type | Moccasins |
Item number | 23621004 |
Manufacturer | Pikolinos |
Category | Lace-ups |
Manufacturer No. | M9A-3111-300 |
Release date | 3.1.2023 |
Sales rank in Category Lace-ups | 165 of 13501 |
Colour | Blue |
Exact colour description | Navy Blue |
Upper | Leather |
Material | Insole: leather / removable, Outsole: rubber, Upper material: Leather |
Sole material | Rubber |
Target group | Men |
Shoe type | Moccasins |
Shoe size (EU) | 41 |
Country of origin | France |
CO₂ emissions | 6.09 kg |
Climate contribution | CHF 0.14 |
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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- PikolinosNot 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- PikolinosNot 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- PikolinosNot enough data
- 1.Geox8.5 %
- 2.Skechers9.3 %
- 3.Ecco13.3 %
- 4.Pitas13.6 %


