Search Interest Visualization for Market Analysis
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Solution Overview
Problem
Conventional market research methods, such as customer polls and surveys, are expensive, time-consuming, and provide delayed results that may not accurately reflect current consumer interest in brands or entities, making them less relevant for timely market analysis.
Innovation Solution
The use of interactive visualizations based on aggregated online search query data to analyze and visualize search interest trends, allowing for the estimation of user interest levels and interrelations between entities and attributes within a market segment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional customer polls or surveys are used for market research, then comprehensive consumer interest data can be collected, but the research process becomes expensive and time-consuming with delayed results
Solution Approach 1:
The patent uses search query data as a copy or proxy for actual consumer interest, rather than directly surveying consumers. Search queries naturally reflect consumer intent and interest levels, providing accurate measurements without the time delay and cost of traditional surveys. The search data serves as an indirect but timely copy of consumer sentiment.
Solution Approach 2:
The patent introduces search engine query data as an intermediary between the researcher and the consumer. Instead of directly asking consumers about their interest (which is slow and expensive), the system uses search queries as a mediator that naturally reveals consumer interest levels in real-time.
2Loss of information
If traditional surveys are conducted to gauge consumer interest, then detailed market insights can be obtained, but the cost and complexity of the research process increase significantly
Solution Approach 1:
The patent leverages search queries as self-generated data that consumers naturally produce when searching for information. Consumers essentially conduct their own surveys by searching for products, brands, or topics of interest. The system simply collects and analyzes this self-service data, eliminating the need for complex survey design, distribution, and analysis infrastructure.
Solution Approach 2:
The patent replaces the mechanical system of traditional surveys (designing questionnaires, distributing forms, collecting responses, manually analyzing data) with an automated electronic system that collects search query data and uses algorithms to extract market insights. This substitution dramatically reduces operational complexity while maintaining data completeness.
3Measurement precision
If conventional market research methods are used, then consumer interest can be measured, but the results are not available in real-time to inform current marketing decisions
Solution Approach 1:
The patent implements continuous collection and analysis of search query data, creating an ongoing stream of market intelligence rather than periodic snapshots. Search queries are naturally occurring and continuous, allowing the system to maintain constant awareness of consumer interest levels and trends, enabling real-time marketing decision-making.
Data Source
AI summary
Techniques for providing interactive visualizations for an entity or group of entities based on search interest data are provided. The search interest data may be derived from Internet or online search data related to the entities and relevant attributes of the entities. Each of the entities and attributes may be represented in a structured search market using a predefined list of relevant search terms or keywords. The search interest of each entity and attribute may be determined based on probabilities representing a likelihood of a search for an entity co-occurring with a search for a relevant attribute within a predetermined time proximity.