Gardinia Thermo
65 x 150 cmOnly 2 items in stock at supplier
Colour
Sizes
- 40 x 150 cmEUR21,–
- 50 x 150 cmEUR25,99
- 55 x 150 cmEUR23,89
- 65 x 150 cmEUR24,03
- 70 x 150 cmEUR25,67
- 70 x 210 cmEUR36,79
- 75 x 210 cmEUR37,22
- 80 x 150 cmEUR27,76
- 80 x 210 cmEUR36,23
- 85 x 150 cmEUR32,28
- 85 x 210 cmEUR32,53
- 90 x 150 cmEUR29,96
- 95 x 150 cmEUR31,35
- 95 x 210 cmEUR34,78
- 100 x 210 cmEUR35,18
- 105 x 150 cmEUR31,99
- 110 x 150 cmEUR37,53
- 115 x 150 cmEUR46,60
Product details
The Easyfix Uni Thermo roller blind in white is not only energy-saving but also offers an ideal solution for functional light regulation. The Gardinia Easyfix Uni Thermo roller blind is an extremely functional clamp roller blind that helps save energy in a simple way.
Exact colour description | Grey |
blind type | Roller blind |
Width | 65 cm |
Height | 150 cm |
Item number | 20952984 |
Colour | Grey |
Exact colour description | Grey |
Material group | Fabric |
Material | FABRIC 100 % polyester |
blind type | Roller blind |
CO₂-Emission | |
Climate contribution |
Format (dimension) | 65 x 150 cm |
Length | 150 cm |
Width | 65 cm |
Height | 150 cm |
Weight | 544 g |
Length | 70 cm |
Width | 10 cm |
Height | 10 cm |
Weight | 1 kg |
30-day right of return
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Reviews & Ratings
Statutory warranty score
How often does a product of this brand in the «Blinds» category have a defect within the first 24 months?
Source: Galaxus- 1.Casa Pura0 %
- 2.Deco Company0,3 %
- 3.Gardinia0,8 %
- 4.Relaxdays1 %
- MeinZuhauseNot enough data
Statutory 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: Galaxus- 1.Gardinia0 days
- Casa PuraNot enough data
- Deco CompanyNot enough data
- MeinZuhauseNot enough data
- RelaxdaysNot enough data
Return rate
How often is a product of this brand in the «Blinds» category returned?
Source: Galaxus- 1.MeinZuhause1,8 %
- 2.Relaxdays4,5 %
- 3.Deco Company5 %
- 4.Gardinia6,7 %
- Casa PuraNot enough data