Personalization in technology refers to the customization of user experiences based on individual preferences and behaviors. This approach enhances user satisfaction by tailoring content, recommendations, and interface designs to meet specific needs. For example, streaming services use algorithms to suggest shows based on viewing history, while e-commerce platforms recommend products tailored to past purchases. Data analytics plays a critical role in achieving personalization, leveraging insights derived from user interactions. By creating more relevant experiences, personalization helps foster user engagement and loyalty, ultimately contributing to business success.