Digital platforms and websites are implementing comprehensive cookie consent systems to manage data processing and user privacy in accordance with modern privacy regulations. These systems inform users about how their personal information and device data are collected, processed, and shared with third-party services. The cookie consent framework covers multiple aspects of data handling, including device information processing, content integration, advertising personalization, and audience analytics. When users visit websites, cookies and similar tracking technologies are used to store and access information on their devices. These digital identifiers, which include login-based identifiers, randomly assigned identifiers, and network-based identifiers, work together with other device information such as browser type, language preferences, screen size, and supported technologies. This information enables websites to recognize returning users and provide personalized experiences across multiple visits and sessions. The data processing serves several key purposes in the digital ecosystem. Content integration allows websites to embed external services and third-party elements seamlessly into their platforms. Statistical analysis and measurement capabilities help website operators understand user behavior patterns and content performance metrics. Personalized advertising systems use this data to deliver more relevant advertisements to users based on their interests and browsing history. Social media integration features enable users to share content and interact with social platforms directly from the website. Depending on the specific functions and services offered, user data may be shared with up to 18 different third-party companies and service providers. These partners process the information according to their own privacy policies and data handling procedures. The consent system emphasizes that user agreement to data processing is voluntary and not required for basic website functionality. Users retain the right to revoke their consent at any time using dedicated controls, typically represented by an icon located in the bottom left corner of the website interface. Content performance measurement represents a crucial component of modern digital analytics. Information about which content is presented to users and how they interact with it helps determine whether non-advertising content successfully reaches its intended audience and aligns with user interests. This includes tracking whether users read articles, watch videos, listen to podcasts, or review product descriptions. Analytics systems also monitor the time users spend on various services and track their navigation patterns across different web pages. This comprehensive data collection provides valuable insights into the relevance and effectiveness of content that is displayed to users. Audience analysis through statistical methods and data combination techniques enables platforms to generate detailed reports about user behavior and preferences. These reports are created by combining various data sources, including user profiles, general statistics, market research findings, and analytics data. The analysis focuses on user interactions with both advertising and non-advertising content to identify common characteristics and behavioral patterns. This information helps determine which target audiences are more receptive to specific advertising campaigns or particular types of content. The sophisticated data processing systems support the modern digital economy by enabling more efficient content delivery, improved user experiences, and more effective advertising strategies. However, they also raise important questions about user privacy and data protection, leading to the implementation of comprehensive consent mechanisms and transparency measures that allow users to make informed decisions about their personal information.