Dieux Skin

Promote Homosexuality Forever Eye Mask

Buy from dieuxskin.com

Bluebird Transparency Report

Dieux-skin is committed to measuring and tracking their product’s sustainability by evaluating their product’s carbon footprint and waste footprint.

Six factors are analyzed to measure the sustainability of a product including: materials, product design, transportation of materials, transportation of the product, recyclability, and degradability.

Deep dive into Eye Mask's sustainability report below:

Carbon emissions*

Below Average Above Average

Waste impact*

Below Average Above Average
*As this product is reusable, its impact is an effective value, assuming a year of use with a paired product.

Carbon emissions

Carbon emissions (per 1k units)

729.4kg ~1,823 miles driven

Below Average Above Average
Materials and product design
Supply chain design
Shipping and distribution

Values are rounded to the nearest whole number and thus may not sum to 100%.

Materials and product design

582.9kg CO₂e

80% of overall emissions

Per component emissions

91%
Storage Container
1%
Sleeve
<1%
Plastic Liner
7%
Other

Supply chain design

123.2kg CO₂e

17% of overall emissions

Distribution emissions

23.3kg CO₂e

3% of overall emissions

Shipping destination

94% 22kg
DTC
Retail

Values are rounded to the nearest whole number and thus may not sum to 100%.

DTC shipping type

30%
6.6kg
Standard
Express

Values are rounded to the nearest whole number and thus may not sum to 100%.

Waste

Waste generated (per 1k units)

35.5kg ~3,815 plastic water bottles

Below Average Above Average
Storage Container
Sleeve
Plastic Liner
Other

Values are rounded to the nearest whole number and thus may not sum to 100%.

Join Dieux Skin and help reduce emissions and waste by making more sustainable choices.

At Bluebird, we look at six factors to measure the sustainability of a product including materials, product design, transportation of materials, transportation of the product, recyclability, and degradability.

Learn more about our methodology