Social media algorithms shape user experiences by determining what content is displayed in users' feeds based on their behaviors, preferences, and interactions. These algorithms analyze data such as likes, shares, comments, and time spent on specific posts to curate personalized content. This leads to engagement spikes, as users are more likely to interact with relevant content. However, it can also create echo chambers, limiting exposure to diverse viewpoints. Consequently, understanding these algorithms is crucial for marketers aiming to optimize reach and strategy on social platforms while maintaining user satisfaction.