Price: £14.12 - £10.19
(as of Jun 25, 2024 00:00:31 UTC – Details)
Product Description
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Customer Reviews
4.5 out of 5 stars
59,577
4.4 out of 5 stars
24,695
4.3 out of 5 stars
38
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4.2 out of 5 stars
25
Price
£13.11£13.11 £9.75£9.75
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Construction
Eyelet Pencil Pleat Tab Top Rod Pocket Eyelet
Weight
230g/m2 230g/m2 230g/m2 230g/m2 200g/m2
Package
Two Panels Two Panels Two Panels Two Panels Two Panels
Size
46x54in 46x54in 46x54in 46x54in 52x54in
READY MADE – 2 curtain panels per package(Hooks are not included), each panel measures 117 cm wide and 138 cm long.
PREMIUM TEXTURE – Features a lightweight soft touch mate texture and perfectly executed stitches, this indoor bedroom curtains are sold ready to hang. This decorative pencil pleat blackout curtains for bedroom, living room and kids room dresses your window beautifully and add a touch of magic and modernity to your room.
BLACKOUT EFFECT – Deconovo thermal blackout curtains are manufactured using Innovative triple weave technology that blocks out 85%-95% of sunlight(Dark colour works better). Curtains for bedroom will stop the outside world from creeping into your private moments so you can enjoy the privacy with family members and friends to the utmost.
ENERGY SAVING – Bedroom blackout curtains will help on reducing energy bills by keeping light out and cool homes during hot summers and keeping the cold out during the winter months.
EASY CARE – Machine washable. Gentle cycle, warm iron. Do not bleach, do not tumble dry. If there are wrinkles, you just need to hang for a while or iron it in warm temperature, the wrinkles will gradually disappear. At Deconovo, our customer service is only one e-mail away to help you choose the size and solve ALL your after sales issues.
Customers say
Customers like the appearance, quality and fabric of the curtains. For example, they mention they’re beautiful, elegant and well-made. They appreciate the soft fabric that doesn’t show creases and that completely blocks out light. That said, opinions are mixed on thickness.
AI-generated from the text of customer reviews