Dynamic Domain Pricing System Squatting Prevention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing domain name registration system lacks differentiation between meaningful and desirable domain names and arbitrary ones, leading to squatting by entities that acquire these names without intention to use them, as static pricing encourages resale for profit, reducing availability for legitimate buyers.
Innovation Solution
A dynamic domain name point-of-sale (DNPOS) system that automatically determines domain name significance through a multi-tiered approach based on Internet activity, trending words, and demand, dynamically pricing and registering domain names to differentiate and increase the initial cost of desirable names, thereby discouraging squatting and enhancing availability for legitimate use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static pricing is used for all domain names, then simplicity and ease of operation are improved, but domain name squatting increases and availability for legitimate buyers deteriorates
Solution Approach 1:
The patent implements dynamic pricing for domain names based on real-time demand, significance, and scarcity metrics. The pricing system continuously adjusts domain prices according to market conditions, user interest, and domain characteristics, transforming the static pricing model into a dynamic one that adapts to changing market demands and prevents squatting by making hoarding economically unviable.
Solution Approach 2:
The system changes multiple parameters simultaneously including price, significance score, demand indicator, and scarcity metric to create a comprehensive dynamic pricing model. These parameter changes allow the system to differentiate between legitimate buyers and squatters, adjusting prices based on domain characteristics, market demand, and user behavior patterns.
2Object-affected harmful factors
If dynamic pricing is implemented to differentiate meaningful domain names, then availability for legitimate buyers is improved, but system complexity increases
Solution Approach 1:
The dynamic pricing system operates autonomously using automated algorithms that calculate domain significance, demand, and scarcity metrics without human intervention. The system self-adjusts prices based on real-time data from multiple sources including search trends, registration patterns, and market demand, eliminating the need for manual price setting while maintaining high availability for legitimate buyers.
Solution Approach 2:
The system incorporates continuous feedback loops that monitor market conditions, user behavior, and domain performance metrics. This feedback mechanism allows the pricing algorithm to learn from past transactions and market responses, automatically adjusting prices to optimize availability for legitimate buyers while preventing squatting, thereby managing complexity through adaptive learning rather than rigid rules.
3Object-affected harmful factors
If dynamic pricing increases initial cost of desirable domain names, then squatting is dissuaded, but acquisition cost for legitimate buyers increases
Solution Approach 1:
The dynamic pricing system applies different pricing strategies to different domain names based on their individual characteristics, significance, and market demand. Rather than uniformly increasing all prices, the system selectively applies premium pricing only to domains with high squatting risk and low legitimate demand, while keeping prices accessible for domains with genuine market need, thereby preventing squatting without broadly increasing acquisition costs.
Solution Approach 2:
The system applies dynamic pricing adjustments selectively rather than universally, using partial action on specific high-risk domains while maintaining reasonable prices for most domains. This approach prevents squatting on valuable domains without excessively increasing costs for legitimate buyers seeking common or less contested domain names, balancing prevention needs with market accessibility.
Data Source
AI summary
Some embodiments provide a system and methodology for registering and configuring top-level domains (TLDs), country-code top-level domains (ccTLDs), generic top-level domains (gTLDs), international top-level domains (iTLDs), or any domain name that is resolved to a network address using Domain Name System (DNS) servers. The system distinguishes between the domain names it offers for sale by continually changing pricing of the domain names according to changing significance and demand for the domain names. The pricing is dynamically determined based on trending words, combined significance of multiple words forming the domain name, significance of individual words, length of the domain name, and scarcity of similar domain names. Combined significance can be determined from a first word in a second-level domain (SLD) and a second word in a TLD or gTLD of the domain name. The system further configures and provides DNS operation for the domain names under its control.