Google llc (20240095364). PRIVACY-PRESERVING AND SECURE APPLICATION INSTALL ATTRIBUTION simplified abstract

PRIVACY-PRESERVING AND SECURE APPLICATION INSTALL ATTRIBUTION

Organization Name

google llc

Inventor(s)

Gang Wang of Frederick MD (US)

Nicholas Alexander Bruno Sabatino of San Francisco CA (US)

Alex Daniel Jacobson of Mountain View CA (US)

PRIVACY-PRESERVING AND SECURE APPLICATION INSTALL ATTRIBUTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240095364 titled 'PRIVACY-PRESERVING AND SECURE APPLICATION INSTALL ATTRIBUTION

Simplified Explanation

The abstract describes a method for securely attributing application installations while preserving user privacy. Here is a simplified explanation of the patent application:

• A digital component with a reference to a software application is provided.
• User interaction with the digital component triggers the installation of the software application on a client device.
• Impression data and interaction data related to the software application are obtained.
• Attribution credits for the installation are assigned using an attribution model.
• Attribution tokens are generated, including data identifying the software application, the attribution credit, and an integrity token.

Potential Applications

This technology could be applied in the fields of digital marketing, app development, and user analytics.

Problems Solved

This technology addresses the need for secure and accurate attribution of app installations while respecting user privacy.

Benefits

The benefits of this technology include improved tracking of app installations, better understanding of user behavior, and enhanced privacy protection for users.

Potential Commercial Applications

"Secure Attribution Method for App Installations" could be used in mobile advertising platforms, app development companies, and data analytics firms.

Possible Prior Art

One possible prior art could be the use of cookies for tracking user interactions with digital components and attributing app installations.

How does this technology impact user trust and transparency in data collection practices?

This technology aims to provide accurate attribution while preserving user privacy, but it is important to consider how users perceive the collection and use of their data in this context. Transparency and clear communication about data practices are crucial for maintaining user trust.

What are the potential limitations or challenges in implementing this technology across different platforms and devices?

While the method described in the patent application is designed to attribute app installations securely, there may be challenges in ensuring consistent implementation and compatibility across various platforms and devices. Addressing these potential limitations will be key to the successful adoption of this technology.

Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on a computer storage medium for securely attributing application (app) installations while preserving user privacy are described. in one aspect, a method includes a given digital component that can be provided and can include a reference to a software application. a user interaction with the digital component that initiates installation of the application can be detected. the software application can be installed at a client device. the following can be obtained: (i) impression data that reference the software application and (ii) interaction data that reference the software application. attribution credits for the installation of the software application can be assigned by applying an attribution model to the presentation and interaction data. attribution tokens can be generated that includes (i) data identifying the software application, (ii) data identifying the respective attribution credit assigned to the entity, and (iii) and an integrity token.