Mobile Game Advertising Through Player Behavior Profiling
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Solution Overview
Problem
Existing mobile gaming systems lack effective methods for targeted advertising based on player behavior and preferences, leading to inefficient marketing strategies and reduced player engagement.
Innovation Solution
Implementing a system that utilizes player interaction data to deliver targeted advertisements within mobile gaming environments, leveraging player behavior analysis and preference profiling to enhance ad relevance and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If generic advertising is used in mobile gaming systems, then advertising coverage is broad, but advertising effectiveness and player engagement are reduced
Solution Approach 1:
The patent segments the advertising system into multiple components: player profiling module that divides players into segments based on behavior and preferences, advertisement selection module that matches specific ads to specific segments, and delivery module that targets selected ads to specific players. This segmentation enables targeted advertising that improves effectiveness without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary actions by collecting and analyzing player data before ad delivery to create player profiles and preferences. Player tracking data, game performance metrics, and interaction patterns are gathered in advance and processed to build detailed player profiles that guide subsequent advertisement selection and delivery, enabling personalized ads without real-time complex analysis.
2Adaptability or versatility
If player data is collected for targeted advertising, then ad personalization is improved, but data privacy concerns and system complexity increase
Solution Approach 1:
The patent applies local quality by collecting and processing only the specific player data needed for advertising purposes rather than comprehensive data collection. The system focuses on gathering relevant interaction data, game performance metrics, and preference information locally at the player level, then uses this localized data to create targeted advertisements without requiring global data management infrastructure.
Solution Approach 2:
The system introduces an intermediary layer between raw player data and advertising delivery. A player profiling module acts as the intermediary, processing raw interaction data through analysis and aggregation to create standardized player profiles and preference categories. This intermediary simplifies data management by transforming complex raw data into structured, manageable profiles that guide ad selection without exposing raw player data.
Data Source
AI summary
In various embodiments, promotions are featured on mobile gaming devices.