Cookie Consent
We and our [number_of_vendors] partners use cookies and other tracking technologies to store and access information on your device and to process your personal data.
With your consent, we and our partners may process personal data such as unique identifiers, browsing data, and precise geolocation data, including through device scanning. You can accept or reject all by clicking the buttons below, or customize your choices by clicking "Manage Settings".
Some of our partners process your data based on their legitimate interest. You have the right to object to this processing. You can manage these settings by clicking "Manage Settings" and reviewing the legitimate interest options for each purpose and vendor.
This consent applies to this website only. You can withdraw or change your consent at any time by clicking the floating "Cookie Preferences" button at the bottom-left corner of your screen.
Data Processing Purposes: Store and/or access information on a device (395 seeking consent); Use limited data to select advertising (275 seeking consent, 96 using legitimate interest); Create profiles for personalised advertising (293 seeking consent); Use profiles to select personalised advertising (299 seeking consent); Create profiles to personalise content (114 seeking consent); Use profiles to select personalised content (107 seeking consent); Measure advertising performance (299 seeking consent, 132 using legitimate interest); Measure content performance (141 seeking consent, 55 using legitimate interest); Understand audiences through statistics or combinations of data from different sources (199 seeking consent, 67 using legitimate interest); Develop and improve services (199 seeking consent, 108 using legitimate interest); Use limited data to select content (62 seeking consent, 22 using legitimate interest)
Special Features: Use precise geolocation data; Identify devices based on information actively requested
Cookie-Einstellungen
Review and customize your consent choices for purposes and vendors. You can grant or withdraw consent for each purpose and vendor individually, or use the buttons below to accept or reject all.
The choices you make regarding the purposes and entities listed in this notice are saved in your browser's localStorage and a cookie named "wpconsent_tcstring" for a maximum duration of 12 months.
Non-IAB TCF Categories
These categories are not part of the IAB Transparency & Consent Framework.
Essentielle Cookies ermöglichen grundlegende Funktionen und sind für die ordnungsgemäße Funktion der Website erforderlich.
Name
Beschreibung
Dauer
IAB TC String
This cookie stores the IAB Transparency & Consent Framework consent string, recording the user's choices for IAB TCF purposes and vendors.
12 months
PHPSESSID
-
Cookie-Einstellungen
Dieses Cookie wird verwendet, um die Cookie-Zustimmungseinstellungen des Benutzers zu speichern.
30 Tage
Cookie Preferences
This cookie is used to store the user's cookie consent preferences.
30 days
These cookies are needed for adding comments on this website.
Name
Beschreibung
Dauer
comment_author
Used to track the user across multiple sessions.
Session
comment_author_email
Used to track the user across multiple sessions.
Session
comment_author_url
Used to track the user across multiple sessions.
Session
Google Tag Manager simplifies the management of marketing tags on your website without code changes.
Name
Beschreibung
Dauer
cookiePreferences
Registers cookie preferences of a user
2 years
td
Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator.
session
Diese Cookies sind erforderlich, um Kommentare auf dieser Website hinzuzufügen.
Name
Beschreibung
Dauer
comment_author
Wird verwendet, um den Benutzer über mehrere Sitzungen hinweg zu verfolgen.
Sitzung
comment_author_email
Wird verwendet, um den Benutzer über mehrere Sitzungen hinweg zu verfolgen.
Sitzung
comment_author_url
Wird verwendet, um den Benutzer über mehrere Sitzungen hinweg zu verfolgen.
Sitzung
Statistik-Cookies sammeln Informationen anonym. Diese Informationen helfen uns zu verstehen, wie Besucher unsere Website nutzen.
Google Analytics ist ein leistungsstarkes Tool, das den Website-Verkehr verfolgt und analysiert, um fundierte Marketingentscheidungen zu treffen.
Service-URL: policies.google.com (opens in a new window)
Name
Beschreibung
Dauer
_gac_
Enthält Informationen zu den Marketingkampagnen des Benutzers. Diese werden mit Google AdWords / Google Ads geteilt, wenn die Google Ads- und Google Analytics-Konten miteinander verknüpft sind.
90 Tage
__utma
ID, die zur Identifizierung von Benutzern und Sitzungen verwendet wird.
2 Jahre nach letzter Aktivität
__utmt
Wird verwendet, um die Anzahl der Anfragen an den Google Analytics-Server zu überwachen.
10 Minuten
__utmb
Wird verwendet, um neue Sitzungen und Besuche zu unterscheiden. Dieses Cookie wird gesetzt, wenn die GA.js-JavaScript-Bibliothek geladen wird und kein bestehendes __utmb-Cookie vorhanden ist. Das Cookie wird jedes Mal aktualisiert, wenn Daten an den Google Analytics-Server gesendet werden.
30 Minuten nach letzter Aktivität
__utmc
Wird nur mit alten Urchin-Versionen von Google Analytics und nicht mit GA.js verwendet. Wurde verwendet, um zwischen neuen Sitzungen und Besuchen am Ende einer Sitzung zu unterscheiden.
Ende der Sitzung (Browser)
__utmz
Enthält Informationen über die Verkehrsquelle oder Kampagne, die den Benutzer auf die Website geleitet hat. Das Cookie wird gesetzt, wenn das GA.js-JavaScript geladen wird, und aktualisiert, wenn Daten an den Google Analytics-Server gesendet werden.
6 Monate nach letzter Aktivität
__utmv
Enthält benutzerdefinierte Informationen, die vom Webentwickler über die Methode _setCustomVar in Google Analytics festgelegt wurden. Dieses Cookie wird jedes Mal aktualisiert, wenn neue Daten an den Google Analytics-Server gesendet werden.
2 Jahre nach letzter Aktivität
__utmx
Wird verwendet, um festzustellen, ob ein Benutzer in einen A/B- oder multivariaten Test einbezogen ist.
18 Monate
_ga
ID, die zur Identifizierung von Benutzern verwendet wird.
2 Jahre
_gali
Wird von Google Analytics verwendet, um festzustellen, welche Links auf einer Seite angeklickt werden.
30 Sekunden
_ga_
ID, die zur Identifizierung von Benutzern verwendet wird.
2 Jahre
_gid
ID, die verwendet wird, um Benutzer 24 Stunden nach der letzten Aktivität zu identifizieren
24 Stunden
_gat
Verwendet zur Überwachung der Anzahl der Serveranfragen an Google Analytics bei Verwendung des Google Tag Managers
1 Minute
Matomo is an open-source web analytics platform that provides detailed insights into website traffic and user behavior.
Service-URL: matomo.org (opens in a new window)
Name
Beschreibung
Dauer
_pk_id
Used to store a few details about the user such as the unique visitor ID
13 months
_pk_ref
Used to store the attribution information, the referrer initially used to visit the website
6 months
_pk_ses
Short lived cookies used to temporarily store data for the visit
30 minutes
_pk_cvar
Short lcts data on visitors behavior and interaction - This is used to optimize the website and make advertisement on the website more relevant.
3 years
_pk_hsr
Short lived cookies used to temporarily store data for the visit
30 minutes
_pk_testcookie
Cookie is created and should be then directly deleted (used to check whether the visitor’s browser supports cookies)
session
mtm_consent
Cookie is created with no expiry date to forever remember that consent was given by the user.
forever
mtm_consent_removed
Cookie is used to store the user consent preference
forever
mtm_cookie_consent
Cookie is used to store the user consent preference
forever
matomo_ignore
cookie will be a third party cookie. This cookie does not contain personal information or any ID and the cookie value is the same for all visitors)
30 years
matomo_sessid
when you use the opt-out feature (this is called a nonce and helps prevent CSRF security issues)
14 days
IAB TCF Purposes
These purposes are part of the IAB Transparency & Consent Framework.
Store and/or access information on a device (395 seeking consent)
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.
Examples:
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).
Use limited data to select advertising (275 seeking consent, 96 using legitimate interest)
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).
Examples:
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.
Create profiles for personalised advertising (293 seeking consent)
Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.
Examples:
If you read several articles about the best bike accessories to buy, this information could be used to create a profile about your interest in bike accessories. Such a profile may be used or improved later on, on the same or a different website or app to present you with advertising for a particular bike accessory brand. If you also look at a configurator for a vehicle on a luxury car manufacturer website, this information could be combined with your interest in bikes to refine your profile and make an assumption that you are interested in luxury cycling gear.
An apparel company wishes to promote its new line of high-end baby clothes. It gets in touch with an agency that has a network of clients with high income customers (such as high-end supermarkets) and asks the agency to create profiles of young parents or couples who can be assumed to be wealthy and to have a new child, so that these can later be used to present advertising within partner apps based on those profiles.
Use profiles to select personalised advertising (299 seeking consent)
Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.
Examples:
An online retailer wants to advertise a limited sale on running shoes. It wants to target advertising to users who previously looked at running shoes on its mobile app. Tracking technologies might be used to recognise that you have previously used the mobile app to consult running shoes, in order to present you with the corresponding advertisement on the app.
A profile created for personalised advertising in relation to a person having searched for bike accessories on a website can be used to present the relevant advertisement for bike accessories on a mobile app of another organisation.
Create profiles to personalise content (114 seeking consent)
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.
Examples:
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.
Use profiles to select personalised content (107 seeking consent)
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.
Examples:
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.
Measure advertising performance (299 seeking consent, 132 using legitimate interest)
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.
Examples:
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.
Measure content performance (141 seeking consent, 55 using legitimate interest)
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.
Examples:
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.
Understand audiences through statistics or combinations of data from different sources (199 seeking consent, 67 using legitimate interest)
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).
Examples:
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.
Develop and improve services (199 seeking consent, 108 using legitimate interest)
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.
Examples:
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.
Use limited data to select content (62 seeking consent, 22 using legitimate interest)
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).
Examples:
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.
Sie können weitere Informationen in unserer Cookie Policy und in der finden.