Cookieless campaigns that are one step further than a mouse click - predictive targeting.
In the context of cookieless targeting, the use of online context targeting on predictive keywords enables the forecast and identification of relevant keywords that indicate user behavior and interests.
By analyzing website content and user interactions, predicted keywords can be determined in order to provide personalized advertising without relying on cookies.
The benefit of placements on relevant content:
Basically, Predictive Keyword Targeting includes a wide range of implementation options.
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search engine advertising
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Social Media Promotion
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Video Streaming Platforms
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Music Streaming Apps
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news websites
We go one step further here and offer our customers a solution that uses statistical trends, forecast data and a strong AI to generally scan all online offers for relevant environments for placement and adjust bidding accordingly.
Good to know: Converto develops its own technologies that offer very direct answers and solutions to structural bottlenecks and thus precisely determine the relevant environments independent of providers and networks
This approach uses machine learning and algorithms to achieve more precise targeting and deliver relevant advertising messages based on users' likely interests.
Get it contact with us.
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 innovative cookieless targeting based on Keyword Predictive Targeting at Converto:
Converto's Predictive AI Technology: With us, based on a defined keyword set, our AI becomes Active and calculates keywords from trend observations, search history analysis, association analysis and symantic analysis, which are challanged against each other and optimized based on user reactions. Clients and Converto determine the initial set and regularly monitor Converto AI suggestions. Advertisers can use predicted keywords to place relevant display or video ads in appropriate environments. Translated with www.DeepL.com/Translator (free version)
More inspiration
Search engine advertising: Advertisers can use predicted keywords to place relevant ads in search engine results. When a user searches for specific topics, they are shown targeted ads based on their interests.
Social media advertising: By using predictive keywords, advertisers can precisely target their ads on social media. The ads are displayed to users who are likely to be interested in the advertised products or services.
Video streaming platforms: Advertisers can use predictive keywords to place their ads in videos that thematically match viewers' interests. This increases the relevance of the ads and improves the user experience.
Music streaming apps: Predictive keywords enable advertisers to serve personalized ads in music streaming apps based on users' musical preferences and interests.
News sites: By analyzing predicted keywords, advertisers can place their ads on news websites that match users' interests and behavior. This way, relevant ads are displayed for the readers.
The application examples described illustrate how predictive keyword targeting can be used within the framework of cookieless targeting in order to provide personalized advertising without being dependent on cookies. By leveraging machine learning and algorithms, advertisers can target audiences more precisely and deliver relevant ad messages based on users' likely interests. This leads to more effective advertising and a better user experience.
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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!
