Website Cookie Policy and Data Processing Guidelines for Architecture Content Platform

Sayart / Sep 24, 2025

A comprehensive data processing and cookie policy has been implemented for an architecture-focused website that features building renovation projects, including recent work by Vécsey*Schmidt Architekt*innen in Basel. The platform requires user consent for various data collection and processing activities that enable the delivery of architectural content and related services.

The website utilizes cookies and similar tracking technologies to process device information and personal data, including IP addresses and browser specifications. This data processing serves multiple purposes, ranging from integrating third-party content and external services to conducting statistical analysis and delivering personalized advertising experiences. The system also facilitates social media integration, allowing users to share architectural projects and engage with content across different platforms.

Depending on the specific functionality being accessed, user data may be shared with up to 18 third-party partners for processing. These partners help deliver various services including content measurement, audience analysis, and targeted advertising. The data sharing arrangement enables the platform to provide comprehensive coverage of architectural projects while maintaining detailed analytics about user engagement and content performance.

The consent mechanism is designed to be voluntary and does not restrict basic website functionality for users who choose not to participate. Users retain full control over their privacy preferences and can revoke consent at any time using a dedicated icon located in the bottom left corner of the website interface. This approach ensures compliance with privacy regulations while maintaining user autonomy over personal data sharing.

The platform's data collection extends to measuring content performance and understanding how users interact with architectural features and project showcases. Information gathered includes reading patterns for articles, video viewing duration, podcast listening habits, and time spent reviewing project descriptions. This comprehensive tracking helps determine whether content successfully reaches its intended audience and aligns with user interests in architecture and design.

Advanced analytics capabilities allow the platform to generate detailed reports by combining multiple data sources, including user profiles, market research, and engagement statistics. These reports help identify common characteristics among users and determine which architectural content resonates most effectively with different audience segments, ultimately improving the platform's ability to showcase innovative building projects and renovation work.

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