Electronic Advertisement Effectiveness Tracking via Relevance Scoring

Solution Overview

Problem

Current predictive models for advertising campaigns are inaccurate in assessing the effectiveness of electronic advertisements, failing to account for individual responses and the media landscape, leading to wastage of time, effort, and money.

Innovation Solution

A computer-implemented method and apparatus that generate a unique identifier and timestamp upon advertisement download, and determine effectiveness based on transaction data and relevance scores, including transaction, acknowledgement, and downloaded time periods, to assess the advertisement's relevance to users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If current predictive models are used to assess advertisement effectiveness, then the process is simple, but the accuracy is poor

Engineering Contradiction:

Improveaccuracy of effectiveness assessmentVSAvoidcomplexity of tracking system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the advertisement effectiveness tracking into distinct time periods (transaction time period, acknowledgement time period, downloaded time period) and assigns different relevance scores to each segment. This segmentation allows the system to measure and evaluate different aspects of user interaction with the advertisement separately, improving measurement precision by breaking down the complex effectiveness assessment into manageable, measurable components.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by generating unique identifiers and timestamps when the advertisement is downloaded, and by pre-calculating relevance scores based on user profile characteristics before the transaction occurs. These preliminary measurements and classifications enable more accurate effectiveness assessment later, as the data is already structured and ready for analysis.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If detailed tracking of individual responses is implemented, then the effectiveness measurement improves, but the time and resources required increase

Engineering Contradiction:

Improveaccuracy of effectiveness assessmentVSAvoidtime required for tracking and analysis

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by generating unique identifiers and timestamps when the advertisement is downloaded, and by pre-calculating relevance scores based on user profile characteristics before the transaction occurs. These preliminary measurements and classifications enable more accurate effectiveness assessment later, as the data is already structured and ready for analysis.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback mechanisms by receiving notification messages when advertisements are downloaded and transaction data when purchases occur. This feedback loop allows the system to continuously update its effectiveness metrics based on actual user behavior, improving accuracy while maintaining efficient processing through automated data collection and analysis.

Inventive Principle:

Principle #23Feedback

3Productivity

If current predictive models are used, then the system is simple, but substantial time, effort and money are wasted

Engineering Contradiction:

Improveefficiency of advertising campaignVSAvoidwaste of time, effort and money

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The patent changes key parameters in the effectiveness assessment by introducing time-based metrics (transaction time period, acknowledgement time period, downloaded time period) and relevance scores that vary based on user profile characteristics. These parameter changes enable the system to distinguish between highly relevant and less relevant advertisements, allowing for more efficient allocation of advertising resources to high-performing campaigns.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system incorporates feedback mechanisms by receiving notification messages when advertisements are downloaded and transaction data when purchases occur. This feedback loop allows the system to continuously update its effectiveness metrics based on actual user behavior, improving accuracy while maintaining efficient processing through automated data collection and analysis.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10817900B2Method and apparatus for determining an effectiveness of an electronic advertisement

Publication Date: 2020.10.27 MASTERCARD INT INC

AI summary

According to a first aspect of the invention, a computer-implemented method for determining an effectiveness of an electronic advertisement received at a user device is provided, the method including, at a server: receiving a notification message in response to the electronic advertisement being downloaded; generating a unique identifier and a time stamp in response to the download of the electronic advertisement, the unique identifier identifying the user device, and the time stamp identifying a time at which the electronic advertisement is downloaded; and receiving transaction data relating to a transaction initiated by the user using the downloaded electronic advertisement, the transaction data indicating the electronic advertisement has been used and including the unique identifier and the time stamp; determining the effectiveness of the electronic advertisement based on the transaction data and a relevance score of the user, the relevance score indicating the relevance of the electronic advertisement to the user.