Home Products IKIFLY Metal Twin Size Headboard, Adjustable Height, Farmhouse Victorian Style, Easy Assembly, Twin/Twin XL Headboard Only for Bedroom, Brown
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IKIFLY Metal Twin Size Headboard, Adjustable Height, Farmhouse Victorian Style, Easy Assembly, Twin/Twin XL Headboard Only for Bedroom, Brown

Original price was: $119.97.Current price is: $69.99.

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Description

From the brand

bedroombedroom

We believe that your home should tell the story of who you are, and be a collection of what you love.

There is more than one way of life, many choices give new life to space.

IKIFLY aims to provide high quality furniture and comfortable home experience.

– enjoy your wonderful life!

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Victorian Metal Headboard

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Farmhouse Victorian Style : The simple clean lines and elegant curves on this vintage rustic headboard can be well matched with a variety of decoration styles, and this headboard set will give your bedroom an instant upgrade in style and comfort
Strong Metal Structure : This metal headboard is made of strong metal frame for a sturdy, lasting construction with matte powder painting finish, no quaking & scratching, strong packaged in one box
Adjustable Height : This vintage metal headboard has 7 different mounting positions, so you can choose suitable height from 34”- 44.6”and easily assembly according to your needs
Easy Assembly : With detailed instruction manual and all tools provided, simply follow the instructions to attach the headboard to your existing bed frame with metal bolts, making installation easy and convenient
Product Dimension : Available in Twin XL, Full, Queen, King, California King sizes to effortlessly complete any bedroom in your home. Available colors: Black, brown, white

Customers say

Customers appreciate the headboard’s attractive appearance, easy assembly, and good value for money. They find it looks nice, matches their bedding well, and is simple yet attractive. Many are satisfied with its quality and functionality. However, some have differing opinions on the build quality and fit.

AI-generated from the text of customer reviews