Personalized Brand Interaction Visualization via Social Data Segmentation
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Solution Overview
Problem
Conventional social networking systems lack the ability to provide personalized marketing experiences for individual users, as they primarily focus on group-based marketing strategies, making it difficult for brands to capture and utilize user-specific interaction data.
Innovation Solution
A social networking system that stores and analyzes user interactions with brand-associated objects, generating a personalized visual representation of these interactions for users, allowing brands to enhance user engagement by presenting a chronological listing of their engagement history, interests, and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional social networking systems use group-based marketing strategies, then they can reach larger audiences, but they cannot provide personalized marketing experiences for individual users
Solution Approach 1:
The system segments user data into individual interaction records stored in the social networking system database. Each user's interactions with brand objects are separately tracked and stored as distinct data records, enabling individual-level analysis while maintaining the overall system structure
Solution Approach 2:
The system introduces an intermediary processing layer that retrieves user interaction data from the social networking system and presents it through a terminal interface. This intermediary layer enables personalized marketing experiences by filtering and presenting relevant user data without requiring fundamental changes to the core social networking infrastructure
2Loss of information
If brands target various products to different groups of people, then they can improve marketing efficiency, but they cannot capture and use information about individual customers' interests and actions
Solution Approach 1:
The system continuously captures user interactions with brand objects through the social networking system and stores this feedback data in the database. The terminal then retrieves this accumulated interaction history and presents it to users, creating a feedback loop that enables brands to understand individual customer preferences and adjust marketing strategies accordingly
Solution Approach 2:
The system performs preliminary data collection and storage of user interactions before marketing decisions are made. By pre-storing interaction data in the social networking system database, the system enables brands to access individual user information when needed for personalized marketing campaigns
Data Source
AI summary
A social networking system user interacts with a terminal associated with a brand, such as kiosk included in a retail location associated with the brand. The terminal provides authorization information to a user device that identifies the terminal and the brand associated with the terminal. Information identifying the user and the authorization information is communicated to the social networking system, which retrieves interactions between the user and objects associated with the brand in the social networking system. The retrieved interactions are communicated to the terminal, which generates content describing the user's interactions with the objects and presents the generated content to the user. A description of the user interaction and/or of the generated content may be communicated to the social networking system for distribution to additional users.