Privacy computing can solve this problem? that is? ID matching and data Can these 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. 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 fintechs’s innovation mindset to their own of privacy computing? many advanced gameplays cannot be realized.
Let’s first look at how the problem of “ID matching and aero leads data application while keeping the advertiser’s ID confidential” can be solved through privacy computing.
—ID Intersection and Data Application in the Context of ID Confidentiality—
As mentioned above? advertisers care about ID confidentiality. They don’t want the media to know their consumers’ IDs? so as to prevent the media from using their IDs to promote their competitors. However? their IDs must always be matched with the media’s IDs. Once matched? the media will know all their IDs.
