Privacy computing can solve this problem? that is? ID matching and dataĀ Can theseĀ application under the condition that the advertiser’s ID is kept confidential. This kind of related calculation based on the shared ID of all parties and after matching the ID (database collision) is called “vertical federated learning.”
Other advertisers have higher requirements Can these
They say that my consumers have not only IDs? but also 5 ways to use artificial intelligence to improve people management many attributes behind the IDs.Ā with the data of the media or third parties to better understand consumers? Or can they be combined to better select consumers? However? these attributes cannot be disclosed to the media or third parties. In other words? it is necessary to achieve crowd insight and selection based on the combination of one-party? two-party (or three-party) data without providing data to the media or third parties.
This is also a problem that privacy computing can solve? that is? to realize the application of attribute data without sharing consumer attribute data.
These applications are crucial
To realizing some important digital marketing scenarios. After all? if data cannot be connected? the value of data will be greatly reduced? and the role of data in digital marketing cannot be fully utilized. It can be said that today’s digital marketing? without the help fintechsās innovation mindset to their own of privacy computing? many advanced gameplays cannot be realized.
Letās first look at how the problem of āID matching and aero leads data application while keeping the advertiserās ID confidentialā can be solved through privacy computing.
āID Intersection and Data Application in the Context of ID Confidentialityā
As mentioned above? advertisers care about ID confidentiality. They donāt want the media to know their consumersā IDs? so as to prevent the media from using their IDs to promote their competitors. However? their IDs must always be matched with the mediaās IDs. Once matched? the media will know all their IDs.