Digest...
Several alternatives to cookies are currently available, and others are still being developed. The most significant amongst these are Known identifiers, Stable identifiers, and Statistical IDs.
Known Identifiers
Known identifiers are typically associated with some form of personal information, such as a name or email address. They are highly accurate forms of identification because the information stays consistent across multiple devices. Whereas cookies fail to inform websites accurately because they don’t link across devices, Known Identifiers create this connection.
Stable Identifiers
Stable identifiers are usually associated with a particular device or browser, which means they don’t expire. They are anonymous and provide the option for users to opt out of being tracked.
One example of a stable identifier is Apple’s IFA (or IDFA), which stands for “identifier for advertisers.”
This identifier appears as a random, anonymous number that is assigned to a user and their device. It does not track 5h4 user personally, but rather provides aggregate audience data that advertisers can use to target consumers with ads. Similarly, Google created the AdID program that connects between Chrome and Android devices. AdID is still in development and will be accessible to advertisers and ad networks that agree to a basic set of guidelines. Since Chrome is the most-used browser, and Google is a crucial figure in the advertising landscape (earning 41% of digital advertising revenue), Google is in a particularly powerful position to make this change.
Statistical IDs
Statistical IDs, also known as cross-device tracking, allow for a device to be tied to a likely single user through a device attribute. Typical device attributes include device type, operating system, user-agent, fonts, and IP addresses. An advantage of this method is these attributes can be updated over time to match device changes or technology advances.
Startups like Tapad have built complex algorithms that match the location of the personal computer (determined by its IP address) and the location of the other devices (e.g., phone or tablet), which advertisers can see when people share their locations with apps. If marketers can observe enough of one user’s devices in the same place at the same time, they can make a reasonable guess that the devices belong to the same person.
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This is especially pertinent as browsers are shifting towards do not track as the default.