Cypress Bloom Eco Holiday Tree Body Buffer

Cypress Bloom Eco Holiday Tree Body Buffer

Brand: Spongelle
SKU: AST-ECOHOLTR-CB
10.00 USD In stock Buy at Merchant

Description Bring the fresh essence of winter to your daily routine with Cypress Bloom. This tree-shaped Body Wash Infused Buffer® creates a creamy lather that cleanses, exfoliates, massages, and nourishes the skin. Infused with skin-softening butters and botanical extracts, it leaves skin feeling silky smooth while blending delicate jasmine and freesia with crisp bergamot, cedarwood, and warm amber. Reusable and dermatologist-tested, this buffer is sulfate-free, paraben-free, cruelty-free, and vegan, offering a more mindful way to enjoy the season. Good for 10+ uses. Smells Like Fresh winter blooms, crisp bergamot, cedarwood, and warm amber Feels Like Discovering delicate blooms in a winter forest Benefits Built-In Body Wash + Buffer Multi-Function, Multi-Use, 10+ Uses Includes All Three Eco Tree Body Buffers Enriched with extracts of Eucalyptus, Coconut, Aloe Vera, and Tangerine Triple butter formula of Cocoa Butter, Mango Butter, and Shea Butter Gently Exfoliates and Locks in Moisture Proprietary Infusion Technology Dermatologist Tested All-in-One, Compact, and Travel-Friendly Sulfate Free & Paraben Free Cruelty Free & Vegan Friendly Bacteria Resistant Recyclable & Festive Eco Tree Packaging This sponge demonstrated biodegradation when tested in accordance with ASTM D5511, under ideal landfill conditions. How to Use Place buffer under water and squeeze to release a rich lather. Massage the body wash in a circular motion to cleanse skin thoroughly. Rinse and squeeze out excess water after each use. Key Ingredients Non-toxic. Sulfate-Free, Paraben-Free, Cruelty-Free, and Vegan-Friendly. Made with Extracts of Eucalyptus, Coconut, Aloe Vera, and Tangerine. Formulated with a Triple Butter Formula with Shea, Mango, and Cocoa. Made in Los Angeles.

Variants (1)
  • Default Title — 10.00 USD — In stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

84%