Audience Segment Selection via Composite Index

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Solution Overview

Problem

Networked advertisers face challenges in selecting audience segments that are similar to a known audience, as existing methods lack an intuitive and efficient way to identify and target audiences based on aggregate similarity.

Innovation Solution

A graphical interface is used to select audience segments by calculating and displaying a composite index indicating the aggregate similarity to an archetypical audience, allowing users to manipulate the interface to adjust the audience segment size and recalculate the index, enabling the selection of audience segments with specific similarity and size goals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a graphical interface is used to select audience segments, then ease of operation is improved, but device complexity increases

Engineering Contradiction:

Improveease of audience segment selectionVSAvoidcomplexity of selection system

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

A graphical user interface acts as an intermediary between the user and the complex audience segmentation system. The interface presents simplified visual elements (graphical representations of audience segments) that mask the underlying complexity of similarity calculations, composite index computations, and segment selection algorithms while enabling intuitive user interaction.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If aggregate similarity calculation is performed for audience segments, then measurement precision is improved, but loss of time increases

Engineering Contradiction:

Improveprecision of audience similarity measurementVSAvoidtime for segment selection

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-calculates and stores composite indices and similarity metrics for audience segments before user interaction. When a user interacts with the graphical interface, the pre-computed data enables immediate display of audience segment characteristics without requiring real-time calculation, thus maintaining measurement precision while eliminating computational delay.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If audience segment size is increased, then productivity is improved, but measurement precision of similarity decreases

Engineering Contradiction:

Improveaudience reachVSAvoidprecision of similarity measurement

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system allows different regions of the audience population to have different quality characteristics. By displaying multiple audience segments with varying sizes and similarity levels, users can select segments that locally optimize for either reach (larger segments) or similarity precision (smaller, more homogeneous segments), rather than requiring a single uniform segment for all purposes.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS9299091B1Audience Segment Selection

Publication Date: 2016.03.29 QUANTCAST CORP

AI summary

A user interface for selecting an audience segment from a pool of tracked entities based on an aggregate similarity of the audience segment to an archetypical audience. A graphical representation illustrating a relationship between a composite index for the audience segment and an audience segment size are displayed to the user. User input indicating the archetypical audience and the audience segment is received by a system and the audience segment is assembled. The composite index and the audience segment size associated with the audience segment, are determined and displayed.