Taiwan’s Leading RMN Platform for Measurable Ad Results
Achieve a win-win scenario with Taiwan’s only internationally compliant RMN platform: - Sellers boost ROAS by leveraging first-party data to target high-conversion audiences and manage ad placements independently. - Platforms unlock additional ad revenue beyond sales commissions. - Consumers enjoy highly relevant product recommendations, enhancing their shopping experience.
Stay unaffected by the phase-out of third-party cookies with measurable, data-driven ad performance.
Need help with our professional team?Need help with our professional team?
Contact UsTop-Tier and Secure RMN/DCR SaaS Solutions

Security, Flexibility, and Compliance Our solution achieves the following key features:
- Data Stays Home: Keep your data secure and local.
- Self-Managed Ad Deployment: Control your campaigns with ease.
- Enhanced Off-Site Data Utilization: Maximize data value across platforms.
- Data Stays Home: Keep your data secure and local.
What is RMN? Unlocking the Power of Retail Media Networks
A Retail Media Network (RMN) enables retailers to monetize their digital platforms (such as websites, apps, and even physical stores) by offering advertising spaces and marketing services to brands. By leveraging consumer behavior and shopping data, RMNs allow brands to display relevant ads and promotional content to potential customers during their shopping journey. For instance, after browsing a product on a retailer's site, customers may see tailored recommendations that enhance their shopping experience. This approach improves ad performance and drives measurable sales growth. As third-party tracking becomes increasingly restricted, RMNs rely on first-party user data to deliver advertising value. This ensures e-commerce platforms remain competitive while providing brands with effective, privacy-compliant solutions. Global e-commerce leader Amazon exemplifies the success of this model, becoming the fastest-growing advertising platform in 2023. Beyond e-commerce, RMNs are also transforming physical retail and grocery sectors, proving their versatility in the advertising landscape.

What is DCR? The Key to Secure and Effective Data Collaboration
A Data Clean Room (DCR) allows businesses to protect data privacy and security while enabling seamless data sharing and analysis. Using advanced hashing techniques, DCR anonymizes and organizes data, safeguarding personal identities and sensitive information. This ensures compliance with privacy standards while maintaining the integrity of your data. With powerful analytics and audience targeting capabilities, DCR enables brands to deliver highly personalized ads and promotions to potential customers. By leveraging secure and precise data insights, businesses can drive better ad performance, improve conversion rates, and gain a competitive edge in today's data-driven landscape. DCR combines privacy, precision, and performance—empowering your business to unlock the full potential of secure data collaboration!

What are DMP, DSP, and SSP? Building Blocks of Programmatic Advertising
-
Data Management Platform (DMP):
A DMP collects, organizes, and analyzes user data to enable precise ad targeting. It forms the foundation for effective programmatic campaigns by providing actionable audience insights.
-
Demand-Side Platform (DSP):
A DSP empowers advertisers to purchase ad inventory and launch campaigns with precision. By integrating data from a DMP, it ensures ads reach the right audience at the right time, optimizing budget efficiency.
-
Supply-Side Platform (SSP):
An SSP helps website or app owners manage and monetize their ad inventory. It automates ad placements, maximizes revenue, and allows control over ad content and placement.
Together, these platforms form an interconnected ecosystem, driving efficient and data-driven programmatic advertising.

What is "Thick Data"? A Deeper Look at Human Insights
"Thick Data" represents in-depth qualitative information about human behavior. Unlike Big Data, which focuses on numbers and trends, Thick Data explains the why behind actions—emotions, thoughts, and cultural context. Imagine reading a personal diary: it not only shows where a person went or how much they spent but also reveals their motivations and feelings. This richer understanding enables more human-centered decision-making, bridging the gap between data and empathy. By combining Big Data's scale with Thick Data's depth, businesses can achieve a more comprehensive view of their customers, leading to better strategies and meaningful connections.
