Reverse Proxy Ad Tracking for Budget Allocation
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Solution Overview
Problem
Current advertising systems lack detailed tracking of user responses to advertisements, making it difficult for advertisers to fine-tune their ad spending and for advertising platforms to optimize revenue, as they rely on per-click charging models without comprehensive action tracking.
Innovation Solution
An advertising distribution system utilizing a reverse proxy process that embeds tracking mechanisms within advertisements, allowing for detailed action tracking and conversion scoring, enabling fair pricing and optimized budget allocation across traffic sources based on quality scores and historical spend data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If per-click charging model is used, then advertising revenue can be generated, but detailed user interaction tracking and fine-tuned pricing are not achieved
Solution Approach 1:
The patent introduces a reverse proxy server as an intermediary component between users and advertising content. This proxy server intercepts and monitors user interactions with advertisements, capturing detailed action data without requiring complex tracking code integration at the advertiser or user levels. The proxy acts as a neutral mediator that passively observes and records interactions, thereby reducing overall system complexity while enabling comprehensive tracking.
Solution Approach 2:
The system implements feedback mechanisms where captured user interaction data is fed back into the pricing and allocation algorithms. This feedback loop enables dynamic adjustment of advertising prices and budget allocation based on actual user behavior patterns. The feedback transforms raw interaction data into actionable pricing signals, allowing fine-tuned pricing without manual intervention.
2Measurement precision
If comprehensive action tracking is implemented, then fine-tuned pricing can be achieved, but system complexity increases
Solution Approach 1:
The reverse proxy server serves as a centralized intermediary that consolidates all tracking functionality in one location. Rather than distributing complex tracking logic across multiple advertising platforms and websites, the proxy intercepts requests at a single point, simplifying the overall architecture. This intermediary approach enables precise measurement of user actions while keeping the implementation manageable through centralized control.
Solution Approach 2:
The reverse proxy server performs multiple functions simultaneously: it acts as a web server, a tracking collector, a data processor, and a pricing engine. By consolidating these diverse functions into a single universal component, the system achieves precise user action measurement without proportionally increasing complexity. The multi-functionality of the proxy reduces the need for separate specialized systems.
3Adaptability or versatility
If detailed tracking and conversion scoring are used, then fair pricing and optimized budget allocation are achieved, but processing requirements increase
Solution Approach 1:
The system implements conversion scoring that focuses on tracking and processing only the most relevant user interactions rather than attempting to analyze every possible action with equal depth. By prioritizing high-value conversion events and using threshold-based filtering, the system achieves adaptable pricing models without requiring excessive computational resources to process every detail of user behavior.
Solution Approach 2:
The pricing and allocation algorithms use parameter changes to simplify complex computations. Instead of continuously recalculating all pricing factors in real-time, the system adjusts key parameters such as conversion scores, quality metrics, and budget allocation factors based on aggregated data patterns. This parameter-based approach enables versatile pricing adaptation while reducing instantaneous processing requirements.
Data Source
AI summary
An advertiser budget is retrieved from a data store. A set of traffic sources associated with the advertiser budget are identified. An allocated budget for the set of traffic sources is generated by allocating at least part of the advertiser budget to the set of traffic sources. At least one advertisement is delivered via a traffic source of the set of traffic sources based at least in part on the allocated budget.