Casino Bonus System Using Player Interest Segmentation
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Solution Overview
Problem
Existing casino reward systems primarily rely on random selection or individual game outcomes, limiting opportunities for players to win bonuses and reducing the social aspect of gaming, as players must win individually against the house or machine.
Innovation Solution
A system that collects and stores personal interest information of casino players, allowing bonuses to be awarded based on shared categories, enabling non-random distribution among players with common interests or attributes, thereby enhancing the gaming experience and social interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If random selection or individual game outcomes are used to award bonuses, then the system is simple to operate, but player engagement and bonus award opportunities are limited
Solution Approach 1:
The system changes the parameter basis for bonus awards from random selection or individual game outcomes to personal interest attributes. Players provide personal interest information (e.g., favorite teams, colors, foods) during registration, and the system matches bonus awards to these attributes, transforming the award mechanism from chance-based to interest-based.
Solution Approach 2:
The player base is segmented into groups based on shared personal interests and attributes. The system creates interest-based clusters (e.g., fans of the same sports team, preference for same color or food) and awards bonuses to groups rather than individuals, increasing engagement through social connection and shared identity.
2Device complexity
If individual game outcomes determine bonus eligibility, then the award distribution is straightforward, but the social aspect of gaming is reduced
Solution Approach 1:
The system merges individual player profiles based on shared personal interests to create group identities. Players with matching attributes (favorite team, color, food, etc.) are combined into social clusters, and bonus awards are distributed to these merged groups, fostering social interaction and community building among players with common interests.
Solution Approach 2:
The personal interest information collected serves multiple functions: it identifies individual player preferences for targeted marketing, groups players into social clusters for community building, and determines bonus eligibility for engagement enhancement. This multi-functional use of attribute data maximizes the value of collected information.
3Productivity
If personal interest information is collected and stored, then bonus award opportunities increase, but information management complexity increases
Solution Approach 1:
The system uses player tracking cards (physical or digital) as copies or representations of player identity and stored personal interest information. Instead of managing complex databases directly at gaming machines, the system uses simplified card-based interfaces that contain or link to player profiles, reducing information management complexity at the point of interaction.
Solution Approach 2:
The player tracking card serves as an intermediary between the player and the casino's information management system. The card stores or references personal interest data and facilitates communication between the player, the gaming machines, and the central system, simplifying data exchange and management.
4Measurement precision
If traditional player tracking cards are used, then player identification is achieved, but personalization based on interests is limited
Solution Approach 1:
Players complete a registration process beforehand where they provide detailed personal interest information (favorite sports teams, colors, foods, etc.). This preliminary data collection enables the system to personalize bonus awards and marketing communications based on individual preferences, transforming generic player tracking into personalized engagement.
Data Source
AI summary
A system and method for rewarding players of wagering game with a bonus is disclosed. A database is provided for collecting and storing personal interest information from two or more players. The database comprises data fields each representing a category of personal interest information. Groups of common personal information are established. Awarding a bonus award includes selecting a group and determining players currently participating in the wagering game that are in the selected group. At least one player that is currently participating in the wagering game is selected for the bonus award. The selections can be randomly made.