Google has announced that it will not build or use alternative tools to track web user traffic once it begins phasing out the cookies from third parties of your Chrome browser next year. These digital cookies They are files installed on devices by external providers that serve to improve navigability, but also to analyze users’ online browsing and collect the information necessary to personalize the advertising they show them.
The tech company announced last year its intention to remove support for these tools. Much of the industry has been criticizing tech companies, including Google, for using cookies to collect browsing logs on websites that are not owned by them, which allows them to profile the interests of users to offer personalized ads and trade with them. The decision will greatly change the advertising market. Currently, third-party companies are able to access a browsing history of users who have not even visited their pages.
Google maintains that 72% of users are convinced that almost everything they do on the web is being tracked by advertisers and technology or other companies, and that 81% think that the possible risks posed by recruitment of your data outweigh the benefits. Therefore, heTired of seeing unwanted ads while browsing, users choose to install blockers, which reduces the efficiency of programmatic algorithms.
Through a post on his official blog, Google has ensured that “advances in aggregation, anonymization, on-device processing and other technologies suitable for preserving privacy indicate a clear path to replace individual identifiers.” According to the company, its digital products will be powered by APIs that preserve privacy by preventing individual tracking, “while offering profitability to advertisers and publishers.”
One of the tools in which Google works is the federated cohort learning, or FLoC, which hides users among large crowds of people with common interests. These cohorts will be interest groups where users will be located. This technology, however, also carries its risks. One, recognized by Google, is that the machine learning algorithm could inadvertently build cohorts that reveal sensitive categories such as race, sexuality, or personal difficulties.