Mobile Client Search via Social Network Data Analysis
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Solution Overview
Problem
Traditional marketing methods lack efficiency in targeting potential clients due to random location selection and lack of real-time information on client density and occurrence probability, resulting in high opportunity costs and poor marketing efficiency.
Innovation Solution
A method and device for a mobile device that inputs keywords, generates a target position and time, and transmits a search message to a server to retrieve and display target client information, including amount, density, and occurrence probability from social network data, combining this information with a map for effective marketing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If marketing persons use traditional random location selection methods, then operation simplicity is maintained, but marketing efficiency deteriorates due to inability to locate target clients
Solution Approach 1:
The patent introduces a server as an intermediary between marketing persons and target clients. The server collects social network data, performs analysis to determine target client locations and characteristics, and returns results to the mobile device. This intermediary handles the complex data processing while keeping the user interface simple.
Solution Approach 2:
The patent replaces the mechanical/random method of location selection with an information-based system. Instead of physically wandering or randomly choosing locations, the system uses social network data analysis to virtually locate target clients before physical marketing activities begin.
2Loss of information
If marketing persons collect real-time client information using advanced systems, then marketing efficiency improves, but opportunity cost increases due to system complexity and resource requirements
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing social network data in advance to identify potential target clients and their locations before the marketing person begins physical marketing activities. This allows the marketing person to visit locations with known high probability of finding targets, reducing wasted time and resources.
Solution Approach 2:
The patent adds an information dimension to the traditional marketing process. Instead of only considering physical location and time, the system incorporates social network data dimensions (user profiles, interests, online behavior) to create a multi-dimensional targeting approach that improves efficiency.
3Loss of time
If marketing persons visit locations without prior information, then operation simplicity is maintained, but time consumption increases due to inability to locate targets efficiently
Solution Approach 1:
The system implements feedback by continuously collecting social network data, analyzing it to update target client location predictions, and providing this information back to the marketing person. The feedback loop allows the system to learn from past marketing activities and improve target location accuracy over time.
Data Source
AI summary
A method for searching target clients, applied to a mobile device coupled to a network, is provided. A target position and a target time are generated by a positioning unit and a time generating unit of the mobile device, respectively. A target clients search message is generated according to keywords input into the mobile device, the target position and the target time and then transmitted to a server coupled to the network through the network. Then a search result transmitted by the server through the network is received. The search result comprises at least one of a target clients amount, a target clients density and a target clients occurrence probability, which are retrieved from at least one social networks data and corresponding to the keywords, the target location and the target time. A map combined with the search result is displayed.