A comprehensive cookie consent policy has been implemented on the website for Taillandier Architectes Associés, outlining detailed data processing practices that affect how users interact with the architectural firm's digital platform. The policy explains that the website uses cookies and similar tracking technologies to process end device information and personal data, including IP addresses and browser information, to enhance user experience and provide various services.

The data processing serves multiple purposes, including integrating content from external services and third-party elements, conducting statistical analysis and measurements, delivering personalized advertising, and enabling social media integration. According to the policy, depending on the specific function being used, user data may be shared with up to 20 third-party companies for processing. However, the consent mechanism is designed to be voluntary and is not required for basic website usage.

Users maintain control over their privacy preferences through several key features outlined in the policy. The consent can be revoked at any time using an icon located on the bottom left of the website interface. The system stores and accesses information on user devices through cookies, device identifiers, and similar online tracking tools, along with browser information, language preferences, screen size, and supported technologies to recognize devices during subsequent visits.

The policy emphasizes content performance measurement as a critical component of the data collection strategy. Information about which content users view and how they interact with it helps determine whether non-advertising content reaches its intended audience and matches user interests. This includes tracking whether users read articles, watch videos, listen to podcasts, or examine product descriptions, as well as monitoring time spent on the service and web pages visited.

The data collection framework also focuses on audience understanding through statistical analysis and combinations of data from various sources. Reports are generated based on combined datasets, including user profiles, statistics, market research, and analytics data, to identify common characteristics among users and their interactions with both advertising and non-advertising content. This comprehensive approach allows for better determination of which target audiences are more receptive to specific ad campaigns or particular types of content.