The technology often used for personalized advertising is machine learning, which analyzes user data to tailor ads to individual preferences and behavior. Through algorithms, it can predict user interests and enhance engagement by showing relevant content. This approach can include tracking user actions across websites, utilizing cookies, and integrating data from various sources, such as social media and purchase history. This personalization improves conversion rates for advertisers while also providing a better experience for users by aligning ads with their needs.