Machine Learning Ad-targeting
Machine Learning Ad-targeting
technology application

Machine Learning Ad-targeting

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updatedApr 6, 2021
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Machine learning platforms that combine demographic data and behavior tracking with pre-determined goals to target adverts and content for specific audiences, optimizing return over investment.
Machine learning platforms that combine demographic data and behavior tracking with pre-determined goals to target adverts and content for specific audiences, optimizing return over investment.

By using powerful machine learning software, advertisers from big corporations to small businesses can target their ads and content for specific audiences, thus optimizing revenue over investment. In an online platform, such as social networks or aggregator websites, this tool allows advertisers to choose their target audience, not only by demographic profile but also by interests and preferences picked up based on their content consumption and online behavior. Also, this machine learning tool uses predictive algorithms to determine how likely a user will see a certain ad.

Goals and objectives can be anchored, such as brand awareness, website visits, or increasing purchases of a product or service. Some business models require advertisers to place a bid on how much they are willing to pay for each view, click, or website access, depending on the objective. On a dashboard, it is possible to check in real-time which content is performing better, allowing the advertiser to pause campaigns and make the necessary changes to images, videos, texts, or targeting settings. Machine learning is also applied to analyze to quality of the content uploaded along with local and international compliance.

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