Advertising Pricing Data Aggregation System
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Solution Overview
Problem
Advertisers lack accurate and timely information about television advertising prices, making it difficult for them to negotiate fair deals as they are unaware of the actual costs and market dynamics, leading to potential overpayment.
Innovation Solution
A system and method for aggregating advertising pricing data from multiple sources, providing clients with comprehensive and customizable reports, including forecasts based on economic indicators, to enable informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If advertisers purchase advertising time through traditional network pricing methods, then networks can set and control advertisement prices, but advertisers lack knowledge of actual market prices and supply-demand dynamics, leading to potential overpayment
Solution Approach 1:
The patent introduces an intermediary advertising pricing system that collects, aggregates, and analyzes pricing data from multiple networks and makes it available to advertisers. This intermediary layer provides transparency into actual market prices without requiring advertisers to directly negotiate with each network, resolving the information asymmetry while maintaining system complexity management.
Solution Approach 2:
The system implements feedback mechanisms by continuously collecting advertising pricing data from multiple networks, analyzing market conditions, and providing real-time or near-real-time pricing information to advertisers. This feedback loop enables advertisers to make informed decisions based on actual market prices and supply-demand dynamics.
2Measurement precision
If advertisers negotiate advertising prices without market data, then networks can control pricing, but advertisers cannot evaluate whether they are paying fair prices compared to competitors
Solution Approach 1:
The patent merges pricing data from multiple advertising networks into a single comprehensive database. By combining data from various sources, the system provides advertisers with aggregated market pricing information that enables accurate price evaluation and comparison across different networks and time periods.
Solution Approach 2:
The system performs preliminary data collection and analysis by gathering advertising pricing information from multiple networks before advertisers make purchasing decisions. This advance preparation of market data allows advertisers to evaluate prices and negotiate with full knowledge of market conditions.
3Loss of information
If advertising pricing data is collected from multiple networks, then market transparency improves, but data aggregation and processing complexity increases
Solution Approach 1:
The patent employs an intermediary system that standardizes and normalizes pricing data from multiple networks with different data formats and structures. This intermediary layer handles the complexity of data aggregation, transformation, and validation, while presenting simplified, consistent information to advertisers.
Solution Approach 2:
The system transforms diverse pricing data from multiple networks into standardized parameters and formats. By changing the representation of pricing data into uniform metrics, the system enables easy comparison and analysis while managing the complexity inherent in aggregating data from heterogeneous sources.
Data Source
AI summary
The present invention relates to a method and system for aggregating advertising pricing data and providing that data to one or more clients. This data may be provided to the client in the form of various reports that allow a client to gauge the advertisement market more accurately and make a better informed decision when deciding to purchase advertisements. In one embodiment, a client is also able to access forecasting reports that predict the future of the advertisement market so that the client can more accurately make a decision about purchasing advertisement slots in advance.