O.Novo vanna, 1700x700, balts akrils

Brand: Villeroy&Boch

Reference UBA177CAS2V-01

2-3 weeks

€1,049.19

VAT included

Monthly payment from 32.38€

delivered within 1-4 weeks

O. Novo vanna, 1700x700, akrils. Lieliksi iederēsies jebkurā vannas istabā. Papildus nepieciešams pasūtīt vannas kājas un noplūdi/pārplūdi

Reference UBA177CAS2V-01

Cookie name	Provider	Purpose	Expiry
cookiesplus	www.magma.lv	Stores your cookie preferences.	1 year
PrestaShop-#	www.magma.lv	This cookie helps keep user sessions open while they are visiting a website, and help them make orders and many more operations such as: cookie add date, selected language, used currency, last product category visited, last seen products, client identification, name, first name, encrypted password, email linked to the account, shopping cart identification.	480 hours
rc::a	Google	This cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.	Persistent
rc::c	Google	This cookie is used to distinguish between humans and bots.	Persistent

Cookie name	Provider	Purpose	Expiry
collect	Google	It is used to send data to Google Analytics about the visitor's device and its behavior. Track the visitor across devices and marketing channels.	Session
r/collect	Google	It is used to send data to Google Analytics about the visitor's device and its behavior. Track the visitor across devices and marketing channels.	Session
_ga	Google	Registers a unique ID that is used to generate statistical data on how the visitor uses the website.	2 years
_gat	Google	Used by Google Analytics to throttle request rate	1 day
_ga_#	Google	Used by Google Analytics to collect data on the number of times a user has visited the website as well as dates for the first and most recent visit.	2 years
_gd#	Google	This is a Google Analytics Session cookie used to generate statistical data on how you use the website which is removed when you quit your browser.	Session
_gid	Google	Registers a unique ID that is used to generate statistical data on how the visitor uses the website.	1 day