Developing creative strategies and approaches

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Individual approach to the user: AI helps to create personalized advertising campaigns focused on the user's behavior, preferences, and interests. For example, if the user found products in one segment interesting, the machine learning system can offer him similar products in another, which increases the likelihood of conversion.
Real-time ad placement optimization: Machine learning enables efficient budget allocation across platforms, optimizing ad spend based on which channels are delivering the best results in real time.
Predicting results: AI can predict the effectiveness of different advertising canada phone number list formats (banners, videos, native advertising) depending on audience behavior and current market conditions, which helps to plan advertising campaigns more accurately.
Dynamic creative: Creatives should adapt to user data. These can be dynamic banners that change depending on the time of day, location, or user behavior. Such creatives are more attractive and effective because they are personalized for a specific user.
Using Video Advertising: Video formats are becoming an important part of programmatic advertising. They provide brands with unique opportunities to attract attention and create an emotional connection with the audience. Interactive videos that engage the user in the process can significantly increase CTR and conversions.