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Product News

Launch of Rating 2.0, an AI Scoring Engine for Corporate Lead Potential Utilizing Machine Learning

Landscape Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; President and CEO: Katsuhito Nagatake; hereinafter "Landscape"), which supports database marketing, has launched "Rating 2.0," an AI scoring engine for corporate lead potential that utilizes "LBC," Japan's largest corporate master database.

By implementing "Rating 2.0," companies can integrate various offline and online data while protecting user privacy, and utilize machine learning to grasp the latest trends of target companies, thereby executing efficient sales and marketing activities.
* "Rating 2.0" can be implemented into "uSonar," the customer data integration solution provided by Landscape.

■ What Is the "Rating 2.0" AI Scoring Engine for Corporate Lead Potential?

Rating 2.0 Image.jpg "Rating 2.0" integrates various offline and online corporate attributes—such as corporate data held by "LBC" (industry, sales scale, number of employees, corporate group structure, etc.), tool adoption status, building attributes, department attributes, corporate characteristics, and online corporate behavioral attributes (Web browsing history and response history by company, interests, etc.)—to determine high-precision scores for potential target companies.

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■ Differences Between Conventional Corporate Scores (1.0) and "Rating 2.0"
Conventional corporate scores (1.0) from other companies were based on limited corporate information such as financial results, which posed the problem of infrequent fluctuations.
"Rating 2.0" utilizes technology that integrates variables related to companies regardless of whether they are offline or online, allowing for the automatic and frequent updating of high-potential corporate lists. Corporate scores fluctuate in response to daily changes in corporate activities.

■ Use Cases for "Rating 2.0"
"Rating 2.0" not only generates lists of high-potential companies through machine learning but also realizes effective, target-specific digital marketing by automatically linking with various Web advertisements such as Google Ads, Facebook Ads, and DSP ads. Data integration with marketing automation tools is also possible.

* By utilizing "Rating 2.0" scores, targeting accuracy has improved by 1.6 times compared to targeting using conventional corporate information. (Based on our company's track record)


Landscape will continue to support the digital marketing of B2B companies by utilizing "Rating 2.0" in collaboration with business partner companies.
* We are currently seeking sales partners for "Rating 2.0," embedded partners utilizing the "Rating 2.0" engine, and tool integration partners.



< About the Corporate Master Database "LBC" >
This is a corporate master database constructed by Landscape that assigns an 11-digit management code to business locations across Japan (approximately 8.2 million locations). "LBC" allows for the understanding of not only corporate attributes such as corporate numbers, industries, and sales scales, but also corporate relationships, including capital ties between parent and subsidiary companies and the relationships between headquarters and branch offices, through its corporate code system.
https://usonar.co.jp/service/lbc/

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About the Customer Data Integration Solution uSonar
uSonar is a cloud-based data integration tool that enables the consolidation and management of various customer-related information. It incorporates the expertise Landscape has cultivated over many years in cleansing data across diverse formats, as well as our proprietary corporate master data, LBC. It supports seamless integration with CRM/SFA, business card management, Marketing Automation (MA), DMP, and other solutions.
https://usonar.co.jp/service/usonar/

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* Company names and product names mentioned herein are trademarks or registered trademarks of their respective companies.

* Rating 2.0 was an optional feature of SideSonar (new service provision ended in February 2025) and was discontinued for new provision as of April 2025. Similar functionality has been integrated into the AI List feature of PLANSonar.

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