#Japan #Tokyo #LLMO #x3d #E-Grant

Introduction to LLMO Research

In the ever-evolving landscape of online shopping, the way customers search for products has dramatically transformed. Traditional keyword searches are being replaced by context-based searches made possible through generative AI technologies. Acknowledging this shift, three innovative companies—E-Grant, Tamachan Shop, and x3d—have embarked on a collaborative research initiative aimed at optimizing marketing strategies for e-commerce platforms. This initiative marks a significant step towards harnessing Low-Lift Marketing Optimization (LLMO) strategies, an area that addresses the modern challenges faced by online retailers in acquiring new customers without solely relying on brand name queries.

Background and Objectives

As customer preferences evolve, companies are compelled to adapt to these changes. The need to implement new attraction methods that do not depend solely on branded searches has never been more crucial. This change hinges on data-driven models that can leverage user-generated content (UGC), product reviews, Q&A, and AI-generated articles to maximize customer inflow with minimal resource expenditure. However, companies currently struggle with integrating customer relationship management (CRM) insights and lifetime value (LTV) strategies into their marketing frameworks. To address this, the collaboration among E-Grant, Tamachan Shop, and x3d focuses on merging AI capabilities with marketing optimization, thereby creating a holistic approach to customer acquisition and LTV design.

Project Framework

Each company brings unique expertise to the table:

• - x3d will focus on structuring non-brand queries while also automating the generation of reviews and articles to optimize the search pathways for consumers. Their goal is to design a seamless search experience that enhances customer engagement.
• - E-Grant aims to quantify and visualize the lifetime value of customers attracted by specific queries. Their work will involve segmenting CRM activities based on LTV scores, ensuring that marketing efforts are precisely targeted and effective.
• - Tamachan Shop contributes by laying the groundwork for supporting data design and proof-of-concept (PoC) environments, vital for developing an integrated platform for evaluating LTV comprehensively.

Through this collaboration, the three companies are set to deliver a cohesive marketing approach that does not isolate customer acquisition from CRM, thus facilitating a fluid ecosystem of LTV marketing strategies.

Future Prospects

The insights gained from this research are expected to pave the way for generic strategy templates and dashboard designs that can be utilized by other companies across different sectors. The goal is to redefine the purchasing pathways and CRM structures in light of generative AI capabilities, providing a set of best practices that can be crossed-applied across industries. The continuous advancement of user-centric marketing that integrates AI promises a substantial impact on the future of e-commerce.

Company Profiles

• - x3d Corporation: Led by CEO Kohnosuke Takeishi, x3d specializes in organizational development, AI implementation support, and creating AI agents/systems. Located in Minato-ku, Tokyo, the company can be reached at x3d.jp.
• - E-Grant Corporation: Focused on marketing strategies using generative AI, E-Grant is also based in Tokyo.
• - Tamachan Services: They are dedicated to providing data solutions and analytical environments, operating out of Miyazaki Prefecture.

For media inquiries, please contact the Public Relations team at x3d via email at [email protected] or use the contact form found on their website.