MERADISO® Topcool Pillow 50 x 80cm
www.lidl.ie
Product
MERADISO® Topcool Pillow 50 x 80cm
Offer from
Lidl
Offers time
Period of time 2016-05-02 to 2016-05-07
Week 18 Ended offer
Week 18 Ended offer
Price
€8.99
Description
For a comfortable and dry sleep environment. Comfortable pillow with high-quality filling for lasting volume. With zip fi lling adjustable for the perfect height.
Price history
Price compare for MERADISO® Topcool Pillow 50 x 80cm and the best offers and deals in the supermarket and at Lidl
Currently there is no price history or price compare for the offer MERADISO® Topcool Pillow 50 x 80cm availableAnother offer at Lidl
MERADISO® Jersey Fitted Sheet
Choose from 6 different colours. Made from 100% cotton. Non-iron and shape-retaining, ...
9.99 €
Buy product online Right Now on eBay
Clicking on a link and purchasing an item there may result in the operator of this site receiving a commission.
Page content is loading...
MERADISO® Topcool Pillow 50 x 80cm per item for 8.99 €
This offer was indexed on 2016-05-01 from www.lidl.ie.When is MERADISO® Topcool Pillow 50 x 80cm in Lidl available? MERADISO® Topcool Pillow 50 x 80cm ist available from 2016-05-02 to 2016-05-07 at Lidl!
What does MERADISO® Topcool Pillow 50 x 80cm cost at Lidl? You get MERADISO® Topcool Pillow 50 x 80cm at Lidl at the price of 8.99 €!
If you are looking for the current offer of MERADISO® Topcool Pillow 50 x 80cm at Lidl in 2016,
then you are right with OffersCheck. Here you get the information,
when you can procure MERADISO® Topcool Pillow 50 x 80cm from Lidl!
The offer for MERADISO® Topcool Pillow 50 x 80cm at Lidl calendar week 18 and many more offers
You can view the offer and write a review at OffersCheck.
The answer to the question Lidl when there is MERADISO® Topcool Pillow 50 x 80cm 2016 can also be obtained at OffersCheck.
Please note that this offer might only be available regionally. The detailed informations are available on the homepage of Lidl
Dataset-ID: id/285548 Report a bug or remove an entry? Send us an email with the dataset-IDs.