Mixed Auction Pricing for Ad Bids
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Solution Overview
Problem
Existing advertising systems struggle to efficiently manage and deliver content through auctions that include both fixed-price and dynamic-price bids, leading to imbalances in pricing and potential overpayment by first-price bidders.
Innovation Solution
A mixed auction system that prices first bids at their fixed prices and second bids at amounts marginally above the next-highest bid, with a correction factor calculated to adjust future bids and maintain competitive pricing, allowing for efficient delivery of content while ensuring fair compensation for first-price bidders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If first-price bids are used in auctions, then bidders pay their bid amount regardless of other bids, but this leads to overpayment and inefficiency in content delivery
Solution Approach 1:
The patent segments bidders into two distinct groups: first-price bidders and second-price bidders. Each group is priced differently based on their bidding strategy. First-price bidders pay their bid amount, while second-price bidders pay only the amount necessary to maintain their position above the next-highest bid. This segmentation allows the system to optimize pricing for each bidder type, preventing overpayment while maintaining content delivery efficiency.
Solution Approach 2:
The patent implements dynamic pricing for second-price bidders, where the price is not fixed but adjusts based on the bidding environment. The price for second-price bidders is dynamically determined as the amount needed to maintain marginal positioning above the next-highest bid, rather than a static bid amount. This dynamic pricing mechanism prevents overpayment and optimizes resource allocation in content delivery.
2Adaptability or versatility
If mixed auction systems combine first-price and second-price bids, then more bidders can participate, but pricing imbalances and fairness issues arise
Solution Approach 1:
The patent applies local quality by treating different bidder types differently within the same auction system. First-price bidders receive a fixed pricing mechanism, while second-price bidders receive a dynamic pricing mechanism tailored to their specific positioning needs. This localized differentiation ensures that each bidder type receives appropriate pricing treatment, maintaining fairness while encouraging diverse participation strategies.
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor bid positions and adjust pricing accordingly. The system continuously evaluates the relative positioning of bids and adjusts the pricing of second-price bidders based on their marginal advantage over the next-highest bid. This feedback loop ensures pricing fairness and prevents imbalances, while maintaining the versatility of accepting multiple bid types.
3Loss of energy
If second-price bids are used, then pricing is adjusted based on other bids, but this creates complexity in the auction process
Solution Approach 1:
The patent extracts the complex pricing calculation into a separate, dedicated process for second-price bidders. Rather than integrating the complexity into the entire auction system, the system isolates the dynamic pricing logic for second-price bidders, calculating only the marginal difference needed to maintain positioning. This extraction reduces the overall system complexity while maintaining the benefits of reduced overpayment.
Data Source
AI summary
In one aspect, methods include receiving one or more first bids that have associated fixed prices, receiving one or more second bids that have dynamic prices that are adjusted at a time of auction in consideration of other bids in the auction, conducting an auction including pricing the one or more first bids and the one or more second bids, the one or more first bids being priced at their respective fixed prices and the one or more second bids being priced at respective amounts that maintain each second bid in a position marginally above a next-highest bid in the auction, and serving content based on one or more winning bids from the auction.