Segment-Based Ad Floor Pricing for Dynamic Revenue Optimization
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Solution Overview
Problem
Online advertising systems lack the ability to provide publishers with granular control over ad pricing and targeting, leading to suboptimal revenue generation and inefficient ad placement, as they rely on general e-CPM measurements rather than specific demographic and user-based segmentation.
Innovation Solution
Implementing a system that dynamically determines minimum e-CPM floor prices for individual ad impressions based on user and site-specific parameters, using historical bid data to set floor values that ensure fair market prices are met, thereby allowing for more precise ad targeting and revenue optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If general e-CPM measurements are used for ad pricing, then the system is simple to operate, but publishers lose granular control over ad pricing and targeting
Solution Approach 1:
The patent segments ad pricing into multiple floors: a general floor price for broad categories and specific floor prices for demographic segments (age, gender, location). This segmentation allows publishers to set different minimum prices for different audience segments while maintaining overall system structure, thus achieving granular control without complete system redesign.
Solution Approach 2:
The patent applies local quality by allowing different floor price characteristics at different levels of the pricing hierarchy. General floors provide baseline simplicity, while specific demographic floors provide localized granular control where needed. This enables the system to be simple overall but adaptable in specific segments.
2Adaptability or versatility
If segment-based floor prices are implemented, then publishers gain granular control over ad pricing, but the system complexity increases
Solution Approach 1:
By dividing the pricing system into hierarchical segments (general floors and specific demographic floors), the patent manages complexity through structured organization. Each segment handles a specific aspect of pricing, making the overall complex system more manageable and understandable.
Solution Approach 2:
The patent creates a universal floor price structure that serves multiple functions: it acts as a baseline for all ads, provides segment-specific control where needed, and maintains compatibility with existing ad auction systems. This multi-functionality reduces the need for separate systems for different pricing needs.
3Productivity
If dynamic floor price determination is used, then revenue optimization is improved, but computational requirements and processing time increase
Solution Approach 1:
The patent determines floor prices in advance based on historical bid data and demographic segment analysis. By pre-calculating floor prices for different segments before actual ad auctions, the system avoids real-time computational overhead during critical bidding moments, thus optimizing revenue without excessive processing delays.
Solution Approach 2:
The patent uses feedback from historical bid data to continuously refine and adjust floor prices for different demographic segments. This feedback mechanism enables the system to learn from past performance and optimize revenue over time without requiring complex real-time calculations for each auction.
Data Source
AI summary
Various aspects described herein are directed to different techniques for enabling ad server systems to dynamically determine minimum floor prices for individual incoming impressions, in which the determination of the minimum floor value for a given incoming impression may be based upon the value(s) of specifically identified impression parameters associated with that particular impression. Additional aspects are directed to various feedback techniques for measuring the effectiveness of the various Entity-based and/or Segment-based floors, and for dynamically adjusting various floor computation parameter values based on measured floor metrics and heuristics.