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Cookieless campaigns with statistical data enable targeting as soon as target group criteria have been met.
In the context of cookieless targeting, the use of statistical data allows trends and behavioral patterns to be identified at an aggregate level in order to provide personalized advertising.
This data comes from official, political or official databases as well as commercial surveys, surveys, anonymous measurements and forecasts.
Statistical data
Instead of relying on individual user data, anonymized and aggregated information is used to create general profiles and target groups.
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Public Data
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State Statistics
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Public Statistics
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Political Data
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Geological Data
Good to Know: Converto is at the forefront of how this information is used and used accurately. Numerous very granular political campaigns in different countries could be implemented in this way.
This approach respects users' privacy as no personal data is processed, yet allows for effective targeting based on general statistical patterns.
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Cookieless targeting campaigns are easy to implement. Get in touch with us and we will take care of a suitable solution for your goals, wishes and possibilities.
Application examples and inspiration for cookieless targeting based on statistical data:
Target group segmentation: By analyzing aggregated data, target groups can be identified based on common characteristics and behavioral patterns. For example, people who frequently search for travel destinations and read travel blogs can be classified as "travel enthusiasts" in order to display relevant ads for travel offers to them.
Trend Analysis: By analyzing statistical data, current trends and areas of interest can be identified. Advertisers can use this information to create advertising campaigns that are tailored to the current preferences of the target group. For example, fashion companies can use statistical data to identify that sustainable fashion is trending and place ads accordingly. Lookalike targeting: Aggregated data can be used to create general profiles of target groups. This information is used to identify similar users who have similar behaviors or interests. Advertisers can then target ads to this "lookalike" audience to increase their reach. Market research: statistical data can be used for market research to gain insights into consumer behavior and preferences. Advertisers can use this information to better tailor their ads and products to the needs of their target audience. Regional analytics: By using aggregated location data, regional analytics can be performed. Advertisers can target ads to specific geographic areas based on the behavior and interests of users in those regions. These examples illustrate how statistical data can be used in cookieless targeting to deliver personalized ads based on aggregate information and general statistical patterns. This approach respects the privacy of users, as no personal data is processed, while still enabling effective targeting based on general trends and behavioral patterns.
Lookalike targeting: Aggregated data can be used to create general profiles of target groups. This information is used to identify similar users who share similar behaviors or interests. Advertisers can then serve targeted ads to this "lookalike" audience to extend their reach.
Market research: Statistical data can be used for market research to gain insights into consumer behavior and preferences. Advertisers can use this information to better tailor their advertising messages and products to the needs of the target group.
Regional analyses: By using aggregated location data, regional analytics can be performed. Advertisers can target ads to specific geographic areas based on the behavior and interests of users in those regions.
These examples illustrate how cookieless targeting statistical data may be used to provide personalized advertising based on aggregated information and general statistical patterns. This approach respects users' privacy as no personal data is processed, while still allowing for effective targeting based on general trends and behavioral patterns.
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If you are interested in the topic, then get in touch with us! We are working intensively on the further development of relevant advertising without being dependent on the cookie and thus on invasive tracking technologies. Our solutions perform successfully and achieve the best results!
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