Advertising Medium Determination via Search Timing Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining advertising media are subjective and dependent on questionnaire responses, which can vary significantly among individuals and lack objective criteria for timing and demographic targeting.
Innovation Solution
A device that utilizes search engine data to segment users based on search terms and timing, identifying representative advertising media by analyzing search patterns and demographics, thereby providing an objective determination of advertising media and timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If questionnaire-based methods are used to determine advertising media, then demographic classification can be obtained, but the results are subjective and vary significantly among individuals
Solution Approach 1:
The patent replaces the mechanical questionnaire-based classification system with an automated search behavior analysis system. By substituting manual questionnaire responses with automated tracking of search engine queries, the system eliminates human subjectivity while maintaining demographic classification capabilities. Search patterns, timing, and frequency are objectively measured and processed algorithmically to determine advertiser demographics.
Solution Approach 2:
The system enables advertisers to self-classify into demographics through their natural search behaviors rather than requiring active participation in questionnaires. The search engine automatically tracks and analyzes advertiser queries, allowing the advertiser themselves to provide the classification data through their organic search activities without manual intervention.
2Measurement precision
If search engine data is used to determine advertising media, then objectivity and data-driven determination improve, but system complexity increases
Solution Approach 1:
The patent extracts only the essential elements needed for demographic classification from the complex search engine data ecosystem. Instead of processing all available search data, the system selectively extracts search queries, timing information, and frequency metrics that directly relate to advertiser demographics. This extraction approach maintains objectivity while reducing the complexity of data processing by focusing on relevant parameters only.
3Manufacturing precision
If search behavior analysis is implemented, then targeting accuracy improves, but data collection and processing requirements increase
Solution Approach 1:
The patent segments the large volume of search data into distinct analytical categories: search queries (what advertisers search for), search timing (when searches occur), and search frequency (how often searches are performed). This segmentation allows the system to process manageable subsets of data while maintaining high targeting accuracy. Each segment is analyzed independently to extract specific demographic indicators, reducing the overwhelming complexity of processing raw data volume.
Data Source
AI summary
It is also an object of the present invention to provide objective advertisement plan(s). The target specifying information storage part 202 stores information for specifying target attribution including information for specifying information delivery medium of an object to contact with correspondently with searchers' id. The search term storage part 203 correspondently stores a searcher's id, the timing of search, and the term used for the search. The extraction part 204 extracts the timing of search for such search term for each searcher's id, segments the extracted search timing for each searcher's id into a predetermined number in chronological order and then extracts searcher's id belonging to each segment. The advertising medium data determination part 205 extracts information on candidate of information delivery medium for the each segment from the extracted each searcher's id using information for specifying a target and determines candidate(s) of information delivery medium from the extracted candidate of information delivery medium.