Market Context — Why This Technology, Why Now

The global shift towards personalized marketing and data-driven decision-making is intensifying, demanding deeper insights into consumer psychology beyond surface-level demographics. Companies face pressure to optimize customer engagement and conversion in a crowded digital marketplace. This technology offers a crucial competitive edge by providing a scalable method to understand individual cognitive biases, enabling more effective and ethical targeting. It addresses the growing need for sophisticated behavioral analytics to navigate complex market dynamics and maximize ROI in marketing spend.

Key Competitive Advantages
01

Achieves highly accurate individual characteristic estimation without repetitive experiments, enabling deep understanding of customer latent needs.

02

Significantly reduces data collection time and cost by eliminating the need for multiple trials on the same subject, enabling efficient market research.

03

Secures market advantage with strong IP, offering long-term exclusivity until ~2042 due to high originality and successful patent examination.

Market Opportunity
E-commerce and Retail
$1.0B–$2.0B globally (AI est.)
Analyzes anchoring effects in customer purchasing behavior to stimulate buying intent through personalized product recommendations and pricing.
Major online retailers E-commerce platform providers Consumer goods brands Retail analytics solution providers
Finance and Insurance
$0.5B–$1.5B globally (AI est.)
Understands cognitive biases in customer investment decisions and insurance choices, building trust through appropriate information and risk explanations.
Investment banks Insurance carriers Wealth management firms Fintech companies
Advertising and Marketing
$0.5B–$1.0B globally (AI est.)
Considers target audience's anchoring characteristics in advertising messages and campaign design to achieve effective appeals.
Digital marketing agencies Adtech platforms Brand strategy consultants Market research firms
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a device for estimating individual anchoring characteristics, specifically covering the core technology of multiple interconnected estimation models. Its broad and robust claim scope, having overcome a rejection notice, indicates strong patentability and resilience against future invalidation claims, providing a secure foundation for business deployment until ~2042.

Competitive White Space

While this patent covers AI models for anchoring bias estimation, it leaves white space for developing specific hardware implementations or integrating the models into novel human-computer interaction systems beyond marketing applications. Further IP could also be built around real-time adaptive learning algorithms for dynamic anchoring adjustments.

Economic Impact
~$1.0M/year estimated revenue increase per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Improved customer behavior prediction accuracy could increase marketing campaign conversion rates by an average of 1.5%. For a company with an average customer value of ~$335/customer (AI est.) and 200,000 new customer acquisitions annually, this could generate an additional ~$1.0M/year in revenue (AI est.). This figure is further enhanced by reductions in market research costs.

Speed to Market
6× faster than in-house development
This technology benefits from already established and academically verified models for complex cognitive biases like the anchoring effect. This eliminates the need for ground-up algorithm development or extensive experimental design. Licensees can achieve rapid prototype development and operational deployment by integrating this technology via API or module into existing data analysis platforms and marketing systems, significantly accelerating time to market.
Competitive Positioning

X: Depth of Customer Understanding
Y: Immediacy of Decision Support

Business Models & Applications
📊 SaaS-based Customer Behavior Analysis
Provides a cloud service that links a licensee's customer data with this technology to analyze anchoring characteristics. Monetized through a monthly subscription model.
💡 Consulting and Solution Provision
Offers customer behavior analysis consulting services based on this technology. Provided as customized solutions for specific industries.
🔬 Research and Development Partnership
Leverages university expertise to jointly develop more advanced cognitive bias analysis technology with specific research institutions or companies. Monetized through licensing fees or performance-based royalties.
Adjacent Application Opportunities
🧑‍💻 HR・人材開発
Bias Assessment in Recruitment & Placement
This technology could analyze anchoring biases in candidate interview evaluations and aptitude test results, providing objective metrics to support fair and optimal talent placement. This has the potential to reduce recruitment mismatches by up to 20%.
⚖️ 司法・交渉支援
Negotiation Strategy Optimization
Could estimate anchoring characteristics of jurors or negotiation counterparts in legal proceedings, suggesting optimal offer prices or argument sequences. This could improve negotiation outcomes by 10-15% by enabling data-driven strategy development.
🎮 ゲーム・エンタメ
Enhance User Engagement
Could consider user anchoring characteristics in in-game item pricing, event announcements, and character appeal evaluations. This has the potential to increase in-app purchases by 5-10% and foster long-term user engagement.
Integration Roadmap — Estimated 12-Month Deployment
Technology Evaluation & Requirements Definition
Duration: 2 months
Confirms API specifications and data linkage requirements for this technology, evaluating compatibility with the licensee's existing systems. Plans a Proof of Concept (PoC) using initial data.
System Development & Model Adjustment
Duration: 6 months
Integrates this technology's module into existing data analysis platforms and develops data linkage interfaces. Conducts initial model training and adjustment using the licensee's specific data.
Pilot Operation & Impact Verification
Duration: 4 months
Initiates pilot operation in a limited environment and verifies effectiveness using actual business data. Optimizes the model based on feedback for full-scale deployment.
Technical Feasibility
This technology is a software-based solution comprising a data input unit, multiple estimation models, and an analysis processing unit. It offers high compatibility for integration into existing marketing automation tools, CRM systems, and e-commerce platforms via API linkage or module integration. The patent claims clearly define the functions of the data reception unit and estimation models, enabling implementation in general-purpose data processing environments. No significant hardware investment or specialized equipment is required, allowing for adoption akin to a software update.
Success Scenario
Upon adopting this technology, a licensee could accurately estimate the cognitive biases (anchoring characteristics) of individual customers from their purchasing history and behavioral data. For instance, on an e-commerce site, this could enable optimal price presentation and product recommendations tailored to each customer, potentially increasing conversion rates by an average of 1.5% and leading to significant annual revenue growth.
Patent Record
APPLICATION NO.
特願2021-178883
REGISTRATION NO.
7755849
FILING DATE
2021/11/01
GRANT DATE
2025/10/08
EXPIRATION DATE
2041/11/01
PATENT HOLDER
学校法人　工学院大学
Examination History
2021年11月02日
手続補正書（自発・内容）
2023年09月08日
手続補正書（自発・内容）
2024年10月31日
出願審査請求書
2025年05月27日
拒絶理由通知書
2025年07月18日
手続補正書（自発・内容）
2025年09月02日
特許査定