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uxcell Women Metatarsal Pad Memory Foam High Heel Insert Sponge Cushions Brown 1 Pairs

KWD 3.500

Brand
uxcell
Category
Foot Health
1 +

Special Features

  • Material: Made of soft durable fabric and sponge with memory foam and different pattern which can keep your feet cool and dry by soaking up sweat and moisture, suitable for different seasons
  • Function: Providing comfortable tired-avoiding and non slip cushion for your feet,say goodbye to ball of foot tired.Not only it can massage your feet, but also relieves pressure and tired,not hurt your shoes
  • Easy to use: Come with soft cushions makes for easy application and compatible with all types of shoes.Washable and re-usable cushions. Each cushion can be used over-and-over again
  • Package included: 1 pairs (2 pcs) or 2 pairs (4 pcs) of cushion pad, you can choose the quantity according to your need. Size: 9 x 7.5 x 0.4 cm/3 1/2 x 2 5/8 x 1/8 inches (L*W*H)
  • One size fit most: Can be worn with a variety of shoes including high heels,sandals,leather,dancing shoes,sport shoes,boots etc. for both men and women

Description

Why choose our metatarsal pads:
1.Made of durable Sponge, fitting most of foot wear like high heels, sandals,leather,dancing shoes,sport shoes,boots etc. for both men and women
2.Comes with breathable cloth on the surface that absorbs moister
3.Easily to stick (Non-slip)
4.Foot pressure points that absorbs shocks (Like you are walking on clouds)

Specifications:
Material: Sponge and cloth
Color (Pattern ): Black and White (Polka Dots);Khaki (Polka Dots);Pink (Strip),Skin color (Pure),Deep Blue (Pure); Blue (Pure); Black (Pure);Brown (Leopard Print)
Size: 9.5 x 7.5 x 0.4 cm/4 5/8 x 2 5/8 x 1/8 inches (L*W*H)
Weight: 15-49 g
Package:1 pairs(2 pcs) / 2 pairs(4 pcs)

Note:
1.We recommend you use the ball of foot pads inside the shoes that are slightly bigger to avoid unwell.
2.Actual fabric colors may be slightly different from online colors due to different computer display and light brightness.
3.Please allow 1-2cm slightly manual measurement deviation for the data.

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