Fan Experience Recommendation Using Audience Group Activation
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Solution Overview
Problem
Current systems for enhancing fan experiences at sporting events struggle to collect and utilize fan-specific information effectively, often providing generic offers that go unused due to inaccurate or unwillingly provided data, resulting in unutilized opportunities for personalized interactions.
Innovation Solution
A method and system that utilizes a smartphone application to collect and analyze fan data, assigning fans to audience groups based on received information, determining activation criteria, and triggering relevant events to provide customized experiences by prioritizing attribute collection based on context and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large amount of data is collected and analyzed to determine useful information, then the accuracy of fan-specific offers improves, but the complexity of the system and time required increase
Solution Approach 1:
The patent segments the fan base into distinct audience groups based on collected data attributes. By dividing the large dataset into manageable segments (audience groups), the system can apply specific interactions and offers to each segment without requiring complex individual analysis of every fan, thus maintaining accuracy while reducing system complexity.
Solution Approach 2:
The system performs preliminary data collection and analysis by assigning fans to audience groups in advance based on available data. This preliminary action allows the system to pre-determine appropriate interactions and offers for each group, eliminating the need for complex real-time analysis and reducing overall system complexity while maintaining offer accuracy.
2Ease of manufacture
If generic offers are sent based on small amounts of general information, then the ease of implementation improves, but the utilization rate of offers decreases
Solution Approach 1:
The patent applies local quality by tailoring offers and interactions to specific audience groups rather than using uniform generic offers for all fans. Each audience group receives customized content based on their specific attributes and preferences, which significantly increases offer utilization rates while maintaining ease of implementation through automated segmentation and assignment.
3Measurement precision
If fans are required to provide personal information, then the quality of fan-specific data improves, but the difficulty of data collection increases
Solution Approach 1:
The system implements self-service by allowing fans to voluntarily provide personal information through the mobile application at their own convenience. Fans can opt-in to share data attributes without being forced, and the system processes this self-provided information to create accurate audience segments. This approach maintains high data quality while improving ease of collection by removing barriers and giving fans control over their information.
4Speed
If inaccurate information is provided by fans, then the speed of processing improves, but the relevance of offers to fans decreases
Solution Approach 1:
The system incorporates feedback mechanisms to verify and correct fan-provided information. By monitoring offer utilization rates and fan interactions, the system can identify inaccurate data and prompt fans to correct it. This feedback loop maintains fast processing speeds while ensuring offer relevance, as the system continuously refines data accuracy based on actual fan behavior and response patterns.
Data Source
AI summary
Method, system, and media for improving a fan experience for an event at a venue with a live audience. Broadly speaking, embodiments of the invention provide techniques for systematizing fan interactions based on automatically detected fan groupings and criteria triggering activation events. Fans are classified into audience groupings based on collected data associated with each fan. Fan interactions map activation criteria (such as activities performed by the fan or purchases made by the fan, information about the event, or the ambient conditions) to activation events that can collect additional data about the fan, incentivize the fan to make a purchase, or improve the fan experience in some other way.