lavori da It in località United States

• Job Level Executive/Staff
• Education Diploma

Experience 1 0 Year 50 Years

Job Role Pemasaran Internet

Job Type Full Time

Job Description Admin Market Analyst - Head Office

Job Requirement

• Pendidikan minimal Diploma/Sarjana di bidang Administrasi Bisnis, Hukum, Manajemen, atau bidang terkait.
• Memiliki pengalaman >1 tahun di bidang administrasi real estate, manajemen properti, atau industri makanan dan minuman.
• Memiliki kemampuan organisasi dan multitasking yang baik.
• Menguasai Microsoft Office Suite (Word, Excel, PowerPoint) dan alat manajemen properti.
• Memiliki kemampuan untuk menangani informasi rahasia dengan hati-hati.
• Memiliki pengetahuan tentang aspek hukum dan finansial dari perjanjian sewa
• Bersedia ditempatkan di HO Malang.

"Pihak HiredToday.com dan Perusahaan tidak akan meminta biaya dalam bentuk apapun pada saat melakukan proses recruitment. Mohon segera melaporkan kepada kami, apabila Anda jika pada saat diundang untuk interview dan diminta untuk melakukan pembayaran dengan sejumlah uang."

"HiredToday.com and the Company will not ask for any form of payment during the recruitment process. Please report to us immediately, if you are invited for an interview and asked to make a payment with a sum of money."

• Personalised advertising and content, advertising and content measurement, audience research and services development
• Store and/or access information on a device

Select any of the dropdown options below to learn more about how your data is used. You can reject or accept these settings any time.

Description

Illustrations:

Description

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).

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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).

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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).

Illustrations:

• 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.

Description

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.

The choices you make with this CMP regarding the purposes and entities will affect how personalized advertising is presented to you. We need to store these choices to respect them on future visits, and they are stored differently based on the type of site or app you're using:

• For apps, your choices are saved in device storage prefixed by “IABTCF_”. Your choices will be invalidated after 390 days and overwritten once you make new privacy choices on this app.
• For accelerated mobile page (AMP) sites, your choices are saved in local storage prefixed by “amp-store”. Your choices will be invalidated after 390 days and overwritten once you make new privacy choices on this site.

Description

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).

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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).

Illustrations:

• 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.

Description

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.

Illustrations:

• 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.

Description

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).

Illustrations:

• 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.

Description

Your data can be used to monitor for and prevent unusual and possibly fraudulent activity (for example, regarding advertising, ad clicks by bots), and ensure systems and processes work properly and securely. It can also be used to correct any problems you, the publisher or the advertiser may encounter in the delivery of content and ads and in your interaction with them.

Illustrations:

• An advertising intermediary delivers ads from various advertisers to its network of partnering websites. It notices a large increase in clicks on ads relating to one advertiser, and uses data regarding the source of the clicks to determine that 80% of the clicks come from bots rather than humans.

Description

Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.

Illustrations:

Description

The choices you make regarding the purposes and entities listed in this notice are saved and made available to those entities in the form of digital signals (such as a string of characters). This is necessary in order to enable both this service and those entities to respect such choices.

Illustrations:

• When you visit a website and are offered a choice between consenting to the use of profiles for personalised advertising or not consenting, the choice you make is saved and made available to advertising providers, so that advertising presented to you respects that choice.

Description

Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.

Description

In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).

Description

• Store and/or access information on a device (retention: 397 days)
• Use limited data to select advertising (retention: 397 days)
• Create profiles for personalised advertising (retention: 397 days)
• Use profiles to select personalised advertising (retention: 397 days)
• Measure advertising performance (retention: 397 days)
• Measure content performance (retention: 397 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 397 days)
• Develop and improve services (retention: 397 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Create profiles to personalise content (retention: 90 days)
• Use profiles to select personalised content (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Measure content performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)
• Use limited data to select content (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device
• Use limited data to select advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Develop and improve services (retention: 30 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 395 days)
• Create profiles for personalised advertising (retention: 395 days)
• Use profiles to select personalised advertising (retention: 395 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 4,320 days)
• Use limited data to select advertising (retention: 30 days)
• Create profiles for personalised advertising (retention: 4,320 days)
• Use profiles to select personalised advertising (retention: 0 days)
• Measure advertising performance (retention: 4,320 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 180 days)
• Use limited data to select advertising (retention: 180 days)
• Create profiles for personalised advertising (retention: 180 days)
• Create profiles to personalise content (retention: 180 days)
• Measure advertising performance (retention: 180 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 180 days)
• Develop and improve services (retention: 180 days)
• Store and/or access information on a device (retention: 730 days)
• Use limited data to select advertising (retention: 730 days)
• Create profiles for personalised advertising (retention: 730 days)
• Use profiles to select personalised advertising (retention: 730 days)
• Create profiles to personalise content (retention: 730 days)
• Use profiles to select personalised content (retention: 730 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 730 days)
• Develop and improve services (retention: 730 days)
• Use limited data to select content (retention: 730 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 565 days)
• Use limited data to select advertising (retention: 565 days)
• Create profiles for personalised advertising (retention: 565 days)
• Use profiles to select personalised advertising (retention: 565 days)
• Measure advertising performance (retention: 565 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 565 days)
• Develop and improve services (retention: 565 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 99 days)
• Create profiles for personalised advertising (retention: 99 days)
• Use profiles to select personalised advertising (retention: 132 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 400 days)
• Use limited data to select advertising (retention: 30 days)
• Create profiles for personalised advertising (retention: 120 days)
• Use profiles to select personalised advertising (retention: 120 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 540 days)
• Use limited data to select advertising (retention: 540 days)
• Create profiles for personalised advertising (retention: 3,285 days)
• Use profiles to select personalised advertising (retention: 3,285 days)
• Create profiles to personalise content (retention: 3,285 days)
• Use profiles to select personalised content (retention: 3,285 days)
• Measure advertising performance (retention: 540 days)
• Measure content performance (retention: 540 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 540 days)
• Develop and improve services (retention: 540 days)
• Use limited data to select content (retention: 540 days)
• Store and/or access information on a device (retention: 400 days)
• Use limited data to select advertising (retention: 400 days)
• Create profiles for personalised advertising (retention: 400 days)
• Use profiles to select personalised advertising (retention: 400 days)
• Create profiles to personalise content (retention: 400 days)
• Use profiles to select personalised content (retention: 400 days)
• Measure advertising performance (retention: 400 days)
• Measure content performance (retention: 400 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 400 days)
• Develop and improve services (retention: 400 days)
• Use limited data to select content (retention: 400 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device
• Use limited data to select advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 400 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 45 days)
• Create profiles for personalised advertising (retention: 52 days)
• Use profiles to select personalised advertising (retention: 52 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device
• Create profiles for personalised advertising
• Use profiles to select personalised advertising
• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Create profiles to personalise content (retention: 90 days)
• Use profiles to select personalised content (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Measure content performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)
• Use limited data to select content (retention: 90 days)
• Store and/or access information on a device (retention: 400 days)
• Create profiles for personalised advertising (retention: 120 days)
• Use profiles to select personalised advertising (retention: 120 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 400 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 396 days)
• Use limited data to select advertising (retention: 396 days)
• Create profiles for personalised advertising (retention: 396 days)
• Use profiles to select personalised advertising (retention: 396 days)
• Create profiles to personalise content (retention: 396 days)
• Use profiles to select personalised content (retention: 396 days)
• Measure advertising performance (retention: 396 days)
• Measure content performance (retention: 396 days)
• Develop and improve services (retention: 396 days)
• Use limited data to select content (retention: 396 days)
• Store and/or access information on a device (retention: 50 days)
• Use limited data to select advertising (retention: 50 days)
• Create profiles for personalised advertising (retention: 50 days)
• Use profiles to select personalised advertising (retention: 50 days)
• Measure advertising performance (retention: 50 days)
• Develop and improve services (retention: 50 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 60 days)
• Create profiles for personalised advertising (retention: 60 days)
• Use profiles to select personalised advertising (retention: 60 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 28 days)
• Create profiles for personalised advertising (retention: 28 days)
• Use profiles to select personalised advertising (retention: 28 days)
• Store and/or access information on a device
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 730 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 730 days)
• Develop and improve services (retention: 730 days)
• Use limited data to select advertising (retention: 1 day)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 2,555 days)
• Create profiles for personalised advertising (retention: 540 days)
• Use profiles to select personalised advertising (retention: 540 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Develop and improve services (retention: 90 days)
• Use limited data to select content (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Develop and improve services (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 540 days)
• Create profiles for personalised advertising (retention: 540 days)
• Use profiles to select personalised advertising (retention: 540 days)
• Use limited data to select advertising (retention: 730 days)
• Measure advertising performance (retention: 730 days)
• Measure content performance (retention: 730 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 730 days)
• Develop and improve services (retention: 730 days)
• Use limited data to select content (retention: 730 days)
• Store and/or access information on a device (retention: 30 days)
• Use limited data to select advertising (retention: 4,320 days)
• Create profiles for personalised advertising (retention: 30 days)
• Use profiles to select personalised advertising (retention: 30 days)
• Develop and improve services (retention: 30 days)
• Store and/or access information on a device (retention: 40 days)
• Create profiles for personalised advertising (retention: 40 days)
• Use profiles to select personalised advertising (retention: 40 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Measure content performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)
• Store and/or access information on a device (retention: 396 days)
• Use limited data to select advertising (retention: 396 days)
• Create profiles for personalised advertising (retention: 396 days)
• Use profiles to select personalised advertising (retention: 396 days)
• Measure advertising performance (retention: 396 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 366 days)
• Use limited data to select advertising (retention: 366 days)
• Create profiles for personalised advertising (retention: 366 days)
• Use profiles to select personalised advertising (retention: 366 days)
• Measure advertising performance (retention: 366 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 366 days)
• Develop and improve services (retention: 366 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 14 days)
• Use limited data to select advertising (retention: 14 days)
• Create profiles for personalised advertising (retention: 14 days)
• Use profiles to select personalised advertising (retention: 14 days)
• Measure advertising performance (retention: 14 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 14 days)
• Develop and improve services (retention: 14 days)
• Store and/or access information on a device (retention: 180 days)
• Create profiles for personalised advertising (retention: 180 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 180 days)
• Develop and improve services (retention: 180 days)
• Store and/or access information on a device (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Use limited data to select content (retention: 365 days)
• Store and/or access information on a device (retention: 390 days)
• Use limited data to select advertising (retention: 390 days)
• Create profiles for personalised advertising (retention: 390 days)
• Use profiles to select personalised advertising (retention: 390 days)
• Measure advertising performance (retention: 390 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 390 days)
• Develop and improve services (retention: 390 days)
• Store and/or access information on a device (retention: 396 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 400 days)
• Use limited data to select advertising (retention: 400 days)
• Create profiles for personalised advertising (retention: 400 days)
• Use profiles to select personalised advertising (retention: 400 days)
• Measure advertising performance (retention: 400 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 400 days)
• Develop and improve services (retention: 400 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 396 days)
• Create profiles for personalised advertising (retention: 396 days)
• Create profiles to personalise content (retention: 396 days)
• Measure advertising performance (retention: 396 days)
• Measure content performance (retention: 396 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 396 days)
• Develop and improve services (retention: 396 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Create profiles to personalise content (retention: 365 days)
• Use profiles to select personalised content (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Measure content performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 2 days)
• Use limited data to select advertising (retention: 2 days)
• Create profiles for personalised advertising (retention: 2 days)
• Use profiles to select personalised advertising (retention: 2 days)
• Create profiles to personalise content (retention: 2 days)
• Use profiles to select personalised content (retention: 2 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 396 days)
• Use limited data to select advertising (retention: 396 days)
• Create profiles for personalised advertising (retention: 396 days)
• Use profiles to select personalised advertising (retention: 396 days)
• Measure advertising performance (retention: 396 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 396 days)
• Develop and improve services (retention: 396 days)
• Store and/or access information on a device (retention: 730 days)
• Measure advertising performance (retention: 730 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 730 days)
• Store and/or access information on a device (retention: 45 days)
• Create profiles for personalised advertising (retention: 30 days)
• Use profiles to select personalised advertising (retention: 30 days)
• Measure advertising performance (retention: 45 days)
• Measure content performance (retention: 45 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 45 days)
• Develop and improve services (retention: 45 days)
• Store and/or access information on a device
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Create profiles to personalise content (retention: 365 days)
• Use profiles to select personalised content (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 120 days)
• Create profiles for personalised advertising (retention: 120 days)
• Use profiles to select personalised advertising (retention: 120 days)
• Measure advertising performance (retention: 120 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 120 days)
• Develop and improve services (retention: 120 days)
• Store and/or access information on a device (retention: 730 days)
• Use profiles to select personalised advertising (retention: 730 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 730 days)
• Create profiles for personalised advertising (retention: 730 days)
• Use profiles to select personalised advertising (retention: 730 days)
• Create profiles to personalise content (retention: 730 days)
• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device
• Use limited data to select advertising
• Create profiles for personalised advertising (retention: 390 days)
• Use profiles to select personalised advertising
• Measure advertising performance (retention: 30 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 540 days)
• Create profiles for personalised advertising (retention: 180 days)
• Use profiles to select personalised advertising (retention: 180 days)
• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Develop and improve services (retention: 365 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 730 days)
• Create profiles for personalised advertising (retention: 730 days)
• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Create profiles to personalise content (retention: 365 days)
• Use profiles to select personalised content (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Measure content performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 60 days)
• Create profiles for personalised advertising (retention: 60 days)
• Use profiles to select personalised advertising (retention: 60 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 28 days)
• Create profiles for personalised advertising (retention: 28 days)
• Use profiles to select personalised advertising (retention: 28 days)
• Store and/or access information on a device (retention: 547 days)
• Use limited data to select advertising (retention: 547 days)
• Create profiles for personalised advertising (retention: 547 days)
• Use profiles to select personalised advertising (retention: 547 days)
• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Create profiles to personalise content (retention: 90 days)
• Use profiles to select personalised content (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Measure content performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 180 days)
• Use limited data to select advertising (retention: 0 days)
• Create profiles for personalised advertising (retention: 180 days)
• Create profiles to personalise content (retention: 180 days)
• Measure advertising performance (retention: 180 days)
• Measure content performance (retention: 180 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 180 days)
• Develop and improve services (retention: 180 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 730 days)
• Use limited data to select advertising (retention: 730 days)
• Create profiles for personalised advertising (retention: 730 days)
• Use profiles to select personalised advertising (retention: 730 days)
• Create profiles to personalise content (retention: 730 days)
• Use profiles to select personalised content (retention: 730 days)
• Measure advertising performance (retention: 730 days)
• Measure content performance (retention: 730 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 730 days)
• Develop and improve services (retention: 730 days)
• Store and/or access information on a device (retention: 30 days)
• Use limited data to select advertising (retention: 30 days)
• Create profiles for personalised advertising (retention: 30 days)
• Use profiles to select personalised advertising (retention: 30 days)
• Create profiles to personalise content (retention: 30 days)
• Use profiles to select personalised content (retention: 30 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 548 days)
• Use limited data to select advertising (retention: 548 days)
• Create profiles for personalised advertising (retention: 548 days)
• Use profiles to select personalised advertising (retention: 548 days)
• Measure advertising performance (retention: 548 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 548 days)
• Develop and improve services (retention: 548 days)
• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 30 days)
• Create profiles for personalised advertising (retention: 0 days)
• Use profiles to select personalised advertising (retention: 0 days)
• Measure content performance (retention: 30 days)
• Store and/or access information on a device (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Store and/or access information on a device (retention: 760 days)
• Use limited data to select advertising (retention: 760 days)
• Create profiles for personalised advertising (retention: 760 days)
• Use profiles to select personalised advertising (retention: 760 days)
• Develop and improve services (retention: 760 days)
• Store and/or access information on a device (retention: 30 days)
• Measure advertising performance (retention: 30 days)
• Store and/or access information on a device (retention: 365 days)
• Use limited data to select advertising (retention: 365 days)
• Create profiles for personalised advertising (retention: 60 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 365 days)
• Develop and improve services (retention: 365 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 1,095 days)
• Measure advertising performance (retention: 1,095 days)
• Measure content performance (retention: 1,095 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 1,095 days)
• Store and/or access information on a device (retention: 395 days)
• Create profiles for personalised advertising (retention: 395 days)
• Use profiles to select personalised advertising (retention: 395 days)
• Create profiles to personalise content (retention: 395 days)
• Use profiles to select personalised content (retention: 395 days)
• Store and/or access information on a device (retention: 30 days)
• Use limited data to select advertising (retention: 30 days)
• Create profiles for personalised advertising (retention: 30 days)
• Use profiles to select personalised advertising (retention: 30 days)
• Measure advertising performance (retention: 30 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Measure advertising performance (retention: 90 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 90 days)
• Develop and improve services (retention: 90 days)
• Use limited data to select advertising (retention: 0 days)
• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Store and/or access information on a device (retention: 210 days)
• Measure advertising performance (retention: 210 days)
• Measure content performance (retention: 210 days)
• Use limited data to select advertising (retention: 365 days)
• Use profiles to select personalised advertising (retention: 365 days)
• Measure advertising performance (retention: 365 days)
• Develop and improve services (retention: 365 days)
• Store and/or access information on a device (retention: 90 days)
• Use limited data to select advertising (retention: 90 days)
• Create profiles for personalised advertising (retention: 90 days)
• Use profiles to select personalised advertising (retention: 90 days)
• Create profiles to personalise content (retention: 90 days)
• Use profiles to select personalised content (retention: 90 days)
• Measure advertising performance (retention: 90 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 1,096 days)
• Use limited data to select advertising (retention: 1,096 days)
• Create profiles for personalised advertising (retention: 1 day)
• Use profiles to select personalised advertising (retention: 30 days)
• Measure advertising performance (retention: 1,096 days)
• Measure content performance (retention: 1,827 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 1,096 days)
• Develop and improve services (retention: 1,827 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 4,320 days)
• Measure advertising performance (retention: 4,320 days)
• Measure content performance (retention: 4,320 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 4,320 days)
• Develop and improve services (retention: 4,320 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device
• Create profiles for personalised advertising (retention: 45 days)
• Develop and improve services (retention: 396 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device
• Use limited data to select advertising (retention: 0 days)
• Create profiles for personalised advertising (retention: 91 days)
• Use profiles to select personalised advertising (retention: 91 days)
• Create profiles to personalise content (retention: 91 days)
• Use profiles to select personalised content (retention: 91 days)
• Measure advertising performance (retention: 4,320 days)
• Measure content performance (retention: 4,320 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 4,320 days)
• Develop and improve services (retention: 4,320 days)
• Develop and improve services (retention: 7 days)
• Store and/or access information on a device (retention: 183 days)
• Use limited data to select advertising (retention: 183 days)
• Create profiles for personalised advertising (retention: 183 days)
• Use profiles to select personalised advertising (retention: 183 days)
• Create profiles to personalise content (retention: 183 days)
• Use profiles to select personalised content (retention: 183 days)
• Measure advertising performance (retention: 183 days)
• Measure content performance (retention: 183 days)
• Understand audiences through statistics or combinations of data from different sources (retention: 183 days)
• Develop and improve services (retention: 183 days)
• Use limited data to select content (retention: 183 days)

Purposes

Purposes

Data collected and processed

• Store and/or access information on a device (retention: 1,826 days)
• Create profiles for pers