Dynamic Player Reward Ranking System
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Solution Overview
Problem
Traditional loyalty programs in gaming establishments favor players who have accumulated points over a long period, leading to discouragement of newer players as it takes time to acquire significant points, and do not effectively reward recent activity.
Innovation Solution
A system that awards points based on multiple factors, including play activity, time spent playing, and promotional events, with a ranking scheme that assigns more points to lower-ranked players and reduces deviations, allowing for flexible point accumulation and periodic ranking updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional loyalty programs award points based on cumulative play history, then long-term players receive higher rewards, but newer players become discouraged and lose interest
Solution Approach 1:
The patent implements dynamic point awards that change based on player rank and recent activity. The system periodically recalculates points based on current play activity rather than relying on static cumulative history, allowing newer players to rapidly accumulate points and catch up to established players, thereby maintaining their interest and retention
Solution Approach 2:
The system changes the parameters used for point calculation from purely historical cumulative play to a hybrid model incorporating recent play activity, current rank, and time-weighted factors. This parameter transformation enables newer players to earn points faster while still rewarding long-term loyalty, resolving the contradiction between retention and accumulation speed
2Quantity of substance
If loyalty programs reward only historical play activity, then point totals reflect past patronage, but recent play activity is not adequately recognized
Solution Approach 1:
The system implements periodic recalculation of player points based on recent play activity. Instead of continuously accumulating points from all historical play, the system periodically updates point totals based on the most recent play sessions, ensuring that recent activity is prominently reflected in current point standings and reward eligibility
Solution Approach 2:
The system performs preliminary ranking and point calculation based on recent activity before determining current rewards. By预先 establishing the ranking based on recent play patterns, the system ensures that the most current player behavior directly influences point awards and promotional eligibility, making recent activity highly relevant
3Productivity
If point accumulation follows a linear progression based on play amount, then rewards correspond to spending level, but large gaps develop between players
Solution Approach 1:
The patent inverts the traditional point award structure by using ranking-based awards instead of amount-based awards. Instead of awarding points proportional to play amount (which creates large gaps), the system awards points based on relative rank among players, which compresses the distribution and reduces extreme differences between top and lower-ranked players while maintaining incentive structures
Data Source
AI summary
Players in a player loyalty scheme are awarded points based on their point-generating activity and are then ranked in order of generated points. Rank-based points are then associated with each rank according to a predefined mapping scheme. The rank-based point totals may be updated periodically. Rank-based points may also be used in tournament play.