Dynamic Game Platform Adjusting Prizes via Predicted Ad Revenue
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Solution Overview
Problem
Existing systems for managing ad-supported games and contests with non-fixed payouts face challenges in balancing dynamic payouts with unpredictable ad revenue, lacking suitable technology to manage these uncertainties effectively.
Innovation Solution
A dynamic game management platform utilizing predictive analytics and AI algorithms to adjust gameplay and prize parameters in real-time, integrated with a programmatic advertising system, dynamically varying user engagement tasks, game frequency, and prize distribution based on projected ad revenue and user participation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If non-fixed prizes are offered in ad-supported games, then user engagement and prize flexibility improve, but financial risk and difficulty in balancing payouts with ad revenue increase
Solution Approach 1:
The system dynamically adjusts game parameters including prize amounts, entry fees, and ad frequency based on real-time financial state and predicted ad revenue. This allows the platform to offer flexible non-fixed prizes while maintaining financial stability by continuously adapting to changing conditions.
Solution Approach 2:
The system implements continuous feedback loops where actual ad revenue and payout data are fed back into the parameter adjustment algorithm. This feedback mechanism enables the system to learn from past performance and optimize parameter settings to balance prize flexibility with financial reliability.
2Adaptability or versatility
If ad revenue is used to fund variable payouts, then prize adaptability improves, but prediction accuracy and revenue uncertainty worsen
Solution Approach 1:
The system performs preliminary actions by predicting future ad revenue using multiple factors (historical data, seasonality, current trends) before setting game parameters. This advance planning allows the system to account for revenue uncertainty and set appropriate prize structures in advance.
Solution Approach 2:
The system changes multiple parameters simultaneously including predicted ad revenue, actual ad revenue, game frequency, prize amounts, and entry fees. By adjusting multiple parameters together, the system can compensate for revenue prediction uncertainty and maintain financial balance despite variability in ad income.
3Adaptability or versatility
If game parameters are adjusted in real-time, then system adaptability improves, but computational complexity and data processing requirements increase
Solution Approach 1:
The system segments the parameter adjustment process into distinct components: revenue prediction module, financial state tracking module, and parameter optimization module. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while enabling real-time adaptation.
Data Source
AI summary
Systems and methods for implementing a dynamic game or contest management platform are described herein. The platform may be integrated with a programmatic advertising system and configured to utilize substantially real-time programmatic advertising information, predictive analytics, and/or one or more artificial intelligence (AI) algorithms to dynamically adjust parameters associated with the game or contest. The AI algorithm(s) may use historical ad revenue information and a number of other ad revenue projection factors described herein to predict the amount or generate an expectation of future ad revenue for a certain time period. Based on the prediction, the contest management platform may be configured to adjust a variety of parameters to dynamically adjust a game or contest itself and the projected prizes to be awarded based on one or more stored models designed to achieve a certain total prize amount awarded over a period of time.