Two-axis slider for ad targeting precision
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Solution Overview
Problem
Existing advertisement campaign targeting methods fail to effectively select individuals from large populations based on demographic and behavioral data, leading to inefficient ad delivery and reduced response rates.
Innovation Solution
A method and system using adjustable slider axes to control target selection methods, allowing for continuous adjustment between demographic and behavioral filtering and ranking criteria, enabling the selection of targets with a higher probability of responding to advertisements, with a user interface providing feedback for optimizing target selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional advertisement targeting methods are used, then ad delivery can be performed, but the ability to effectively select individuals from large populations based on demographic and behavioral data is insufficient
Solution Approach 1:
The patent segments the target selection process into multiple independent axes (demographic axis, behavioral axis, filtering axis, ranking axis), each handling a specific aspect of target selection. This segmentation allows the system to process large populations effectively by breaking down the complex selection task into manageable components, improving measurement precision without overwhelming system complexity.
Solution Approach 2:
The patent introduces a multi-dimensional selection space with multiple adjustable axes (demographic, behavioral, filtering, ranking) rather than relying on single-dimensional traditional methods. This dimensional expansion enables precise targeting by evaluating candidates across multiple independent dimensions simultaneously, significantly improving selection precision from large populations.
2Productivity
If multiple target selection methods are used to improve response rates, then ad delivery efficiency improves, but the complexity of controlling and adjusting selection criteria increases
Solution Approach 1:
The patent implements dynamic, adjustable axes for each selection method (demographic, behavioral, filtering, ranking) that can be independently configured and modified. This dynamic control allows operators to adapt selection criteria to different campaign requirements without increasing operational complexity, as each axis can be adjusted separately through a standardized interface.
Solution Approach 2:
The patent creates a universal multi-axis selection framework that can handle multiple target selection methods (demographic-based, behavioral-based, filtering, ranking) within a single unified system. This universal approach improves ad delivery efficiency by enabling diverse selection strategies while maintaining consistent ease of operation through a standardized control mechanism.
3Measurement precision
If demographic and behavioral data filtering is applied, then target selection accuracy improves, but the time and computational resources required for analysis increase
Solution Approach 1:
The patent performs preliminary filtering actions by first applying demographic and behavioral data filters to narrow down large populations before conducting more intensive ranking and analysis. This preliminary action reduces the dataset size early in the process, thereby improving target selection accuracy while minimizing the time and computational resources required for subsequent detailed analysis.
Solution Approach 2:
The patent segments the data analysis process into distinct stages: demographic filtering, behavioral filtering, and ranking. This segmentation allows computationally intensive operations to be performed on progressively smaller datasets at each stage, reducing overall analysis time while maintaining high target selection accuracy through cumulative filtering effects.
Data Source
AI summary
Embodiments of the disclosure are directed to a two-axis slider graphical user interface system and method. A work station may comprise a processor, non-transitory memory, and an application that when executed by the processor, displays a graphical user interface comprising a two-axis slider within a two-dimensional space that is bounded by a first axis and a second axis, the first axis and second axis corresponding with a first selection method and second selection method, respectively. The work station receives, via the two-axis slider, an adjustment and input criteria that are sent to a server. The work station automatically receives selection of a weighted portion for each of the two selection methods and receives a selection of a defined number of mobile devise corresponding to each weighted portion, and feedback is dynamically displayed on the graphical user interface.