Dit privatliv betyder noget
Du har en juridisk ret til at vælge, hvilke oplysninger en hjemmeside må gemme og have adgang til. Med din tilladelse vil vi og vores tredjepartspartnere (1464) opbevare og/eller tilgå oplysninger på en enhed, såsom unikke identifikatorer i cookies og browsingoplysninger, for at indsamle og behandle personlige oplysninger.
Vi og vores partnere udfører følgende databehandling.
Store and/or access information on a device, Advertising based on limited data and advertising measurement, Personalised content, content measurement, audience research, and services development
Hvis du accepterer nogle af eller alle disse vil du have accepteret hjemmesidens brug af cookies til disse formål. Du kan også vælge at afvise samtykket, men visse af sidens personaliserede funktioner vil ikke være tilgængelige for dig. Dine valg med hensyn til samtykke vil kun gælde for denne hjemmeside, og du vil til enhver tid kunne ændre dine indstillinger og trække dit samtykke tilbage fra Privatlivspolitik siden eller ved at klikke på Håndtér samtykke-knappen i det nederste venstre hjørne.
Privatlivspræferencecenter
Du kan acceptere eller afvise dataindsamling og behandling med det samme ved at bruge knapperne nedenfor, eller du kan skræddersy individuelle samtykker ved at slå formålet eller funktionen til eller fra ved at bruge knappen. Vi deler disse oplysninger med vores partnere på baggrund af samtykke og legitim interesse. I Partner-fanen vil du kunne finde en liste over vores partnere og have muligheden for at give dit samtykke til hver af dem og afvise databehandlingen for dem, der påstår at have en legitim interesse i at behandle dine oplysninger.
Valgene du træffer er kun relevante for denne specifikke hjemmeside, og du kan ændre dine indstillinger og trække dit samtykke tilbage til enhver tid fra Privatlivspolitik siden eller ved at klikke på Håndtér samtykke-knappen i det nederste venstre hjørne.
With your acceptance, your precise location (within a radius of less than 500 metres) may be used in support of the purposes explained in this notice.
With your acceptance, certain characteristics specific to your device might be requested and used to distinguish it from other devices (such as the installed fonts or plugins, the resolution of your screen) in support of the purposes explained in this notice.
Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here.
Most purposes explained in this notice rely on the storage or accessing of information from your device when you use an app or visit a website. For example, a vendor or publisher might need to store a cookie on your device during your first visit on a website, to be able to recognise your device during your next visits (by accessing this cookie each time).
Advertising can be presented based on limited data. Advertising performance can be measured.
Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).
A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Content can be personalised based on your profile. Your activity on this service can be used to build or improve a profile about you for personalised content. Content performance can be measured. Reports can be generated based on your activity and those of others. Your activity on this service can help develop and improve products and services.
Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
You read several articles on how to build a treehouse on a social media platform. This information might be added to a profile to mark your interest in content related to outdoors as well as do-it-yourself guides (with the objective of allowing the personalisation of content, so that for example you are presented with more blog posts and articles on treehouses and wood cabins in the future).
You have viewed three videos on space exploration across different TV apps. An unrelated news platform with which you have had no contact builds a profile based on that viewing behaviour, marking space exploration as a topic of possible interest for other videos.
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
You have viewed three videos about rowing across different websites. An unrelated video sharing platform will recommend five other videos on rowing that may be of interest to you when you use your TV app, based on a profile built about you when you visited those different websites to watch online videos.
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
Ved at give dit samtykke til formålene og funktionerne anført her giver du os og vores partnere mulighed for at: Ensure security, prevent and detect fraud, and fix errors , Deliver and present advertising and content
Nogle af vores partnere behandler personlige oplysninger uden dit samtykke på baggrund af en legitim interesse. Du kan gennemgå formålene nedenfor og ved at udvide, se en liste over hver partner der påstår at have et formål med legitim interesse. For at afvise behandlingen på baggrund af en legitim interesse for ethvert af formålene nedenfor kan du trykke på knappen ved siden af den.
Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).
A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
Cookies, der bruges på webstedet, er kategoriseret, og nedenfor kan du læse om hver kategori og tillade eller nægte nogle eller alle af dem. Når kategorier, som tidligere er tilladt, er deaktiveret, fjernes alle cookies, der er tildelt denne kategori, fra din browser. Derudover kan du se en liste over cookies tildelt til hver kategori og detaljerede oplysninger i cookiedeklarationen.
Nødvendige cookies
Nogle cookies er forpligtet til at give kernefunktionalitet. Hjemmesiden vil ikke fungere korrekt uden disse cookies, og de er aktiveret som standard og kan ikke deaktiveres.
Navn | Værtsnavn | Partner | Udløber |
---|---|---|---|
SharedSessionId | home-tex.dk www.home-tex.dk | Session | |
SharedSessionId | www.home-tex.dk | Session | |
ASPSESSIONID | home-tex.dk | Microsoft | Session |
__cf_bm | .onesignal.com | Cloudflare, Inc. | 1 time |
ASPSESSIONID | www.home-tex.dk | Microsoft | Session |
__klarna_sdk_version | Persistent | ||
search_style_hash_a3954d72-7c6a-472a-a3a8-66c2f6d4dd87/35733 | Session | ||
search_initialization_hash_a3954d72-7c6a-472a-a3a8-66c2f6d4dd87/35733 | Session | ||
search_search_redirects_hash | Session | ||
search_search_redirects | Session | ||
__klarna_sdk_default-config | Session | ||
search_result_styles_fed341bd-491e-413b-86d5-245f6aaf102c/35734 | Session | ||
search_result_styles_a3954d72-7c6a-472a-a3a8-66c2f6d4dd87/35733 | Session | ||
search_initialization_code_fed341bd-491e-413b-86d5-245f6aaf102c/35734 | Session | ||
search_initialization_code_a3954d72-7c6a-472a-a3a8-66c2f6d4dd87/35733 | Session | ||
search_initialization_hash_fed341bd-491e-413b-86d5-245f6aaf102c/35734 | Session | ||
search_style_hash_fed341bd-491e-413b-86d5-245f6aaf102c/35734 | Session | ||
FPLC | .home-tex.dk | 20 timer | |
FPAU | .home-tex.dk | 90 dage | |
FPGSID | .home-tex.dk | 1 time | |
is_eu | Session | ||
cookiehub | .home-tex.dk | CookieHub | 365 dage |
euconsent-v2 | .home-tex.dk | 365 dage | |
cookiehub-ac | CookieHub | Persistent |
Foretrukne
Preference cookies gør det muligt til webstedet at huske oplysningerne til at tilpasse, hvordan webstedet udseende eller opfører til hver bruger. Dette kan omfatte lagring valgte valuta, region, sprog eller farve tema.
Navn | Værtsnavn | Partner | Udløber |
---|---|---|---|
hr_recom-ae78d0b6-e40b-46b5-8709-f3d9ef425c56_pb | Session | ||
hello_retail_state | Session | ||
hello_retail_id | .home-tex.dk | 365 dage |
Analytiske cookies
Analytiske cookies hjælper os med at forbedre vores hjemmeside ved at indsamle og rapportere oplysninger om dens anvendelse.
Navn | Værtsnavn | Partner | Udløber |
---|---|---|---|
_ga_ | .home-tex.dk | 400 dage | |
Used to collect statistics about the usage of the website. | |||
_ga | .home-tex.dk | 400 dage | |
_pin_unauth | .home-tex.dk | QuarticON | 365 dage |
FPID | .home-tex.dk | 400 dage | |
uid | .bestofluck.io | 365 dage |
Markedsføring cookies
Marketing cookies bruges til at spore besøgende på tværs hjemmesider til at tillade udgivere at vise relevante og engagerende annoncer.
Navn | Værtsnavn | Partner | Udløber |
---|---|---|---|
aw-www.home-tex.dk-ae78d0b6-e40b-46b5-8709-f3d9ef425c56_cchash | Session | ||
_gcl_au | .home-tex.dk | Google Advertising Products | 90 dage |
_fbp | .home-tex.dk | Meta Platforms | 90 dage |
blueID | .home-tex.dk | 365 dage | |
ckid | .getblue.io | 365 dage | |
IDE | .doubleclick.net | Google Advertising Products | 390 dage |
lastExternalReferrerTime | Meta Platforms | Persistent | |
blueID | Persistent | ||
lastExternalReferrer | Meta Platforms | Persistent | |
hash | .getblue.io | 2 dage | |
test_cookie | .doubleclick.net | Google Advertising Products | 1 time |
ar_debug | .pinterest.com | 365 dage |
Vores partnere er anført nedenfor. Du kan udvide hver partner for at se og modificere samtykke for formål og funktioner. Derudover kan du gøre indsigelse mod formål, der har en legitim interesse.