Address-Requesting Advertisements for Automatic Application Installation

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Solution Overview

Problem

Existing online advertising methods fail to effectively engage users by requiring manual download of applications and often result in low conversion rates due to user disinterest during the process.

Innovation Solution

An advertising system that requests a user's address directly in the ad, facilitating automatic application installation and delivery, using machine learning to optimize for successful delivery and application installation as success signals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional online advertising methods are used requiring manual application download, then the advertising system can be simple, but user engagement is low and conversion rates are poor

Engineering Contradiction:
Improveuser engagementVSAvoidinstallation process
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The advertisement pre-requests the user's address before the application needs to be installed. By obtaining the address in advance through the ad interaction, the system eliminates the need for users to manually enter their address during application installation, thereby simplifying the overall process and improving engagement.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent combines the address collection function with the advertisement interface. Instead of separating address collection from the ad experience, the system integrates it so that users provide their address as part of the ad interaction, which then automatically feeds into the application installation process.

Inventive Principle:
Principle #5Merging (Combining)

2Productivity

If manual application download and address input processes are required, then the system can maintain simplicity, but conversion rates decrease due to user disinterest

Engineering Contradiction:
Improveconversion rateVSAvoidinstallation time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs the address collection action preliminarily during the advertisement interaction before the application installation step. This sequential optimization ensures that when users proceed to application download, the address is already available, eliminating delays and maintaining user interest throughout the conversion funnel.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent maintains continuous useful action by keeping the address information available throughout the entire process from ad viewing to application installation. The address obtained during ad interaction is preserved and utilized continuously, preventing any interruption or repetition of useful actions that would cause user disinterest.

Inventive Principle:
Principle #20Continuity of useful action

3Productivity

If the system collects user address data for optimization, then ad placement can be optimized for higher engagement, but data privacy concerns may arise

Engineering Contradiction:
Improveengagement metricsVSAvoiddata privacy risk
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system serves itself by using the address data collected during the ad interaction to automatically optimize future ad placements. The machine learning model processes the address information to identify patterns and preferences, enabling the system to autonomously improve engagement metrics without requiring additional user input or compromising privacy through excessive data collection.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250315864A1Determining whether to place an advertisement requesting an address
Publication Date: 2025.10.09 DROPBOX INC
  • US20250315864A1 patent drawing
  • US20250315864A1 patent drawing
  • US20250315864A1 patent drawing

AI summary

Disclosed herein is a system and method to determine whether to place an advertisement to a user requesting an address from the user. The system can iteratively determine multiple advertisement metrics of multiple advertisements to obtain multiple metrics. An advertisement metric among the multiple advertising metrics can indicate the value of placing the advertisement to the user. The system can rank multiple advertisements based on the multiple advertisement metrics and present a predetermined percentage of top-ranking advertisements among the multiple advertisements.