Rakuten Group, Inc has announced the full-scale launch of Rakuten Analytics, an analytics platform for corporate clients that leverages the statistical data of the Rakuten Ecosystem to deepen customer understanding and support data-driven decision-making.

Rakuten Analytics is a platform that enables businesses to strengthen their understanding of customer profiles by linking a company’s data with the statistical data assets held by Rakuten, while maintaining measures to protect personal information. It features an intuitive and easy-to-use simple user interface (UI), making it easy to understand analysis results. Corporate customers can use the insights gained from the platform’s analysis for ad delivery, marketing strategies targeting their own Rakuten member customers, product planning and more.

The statistical data assets that form the foundation of this platform utilize the Rakuten Ecosystem’s “CustomerDNA” database, which classifies Rakuten user attribute information – which includes demographic data such as age, gender, life stages, lifestyle and more – into over 4,000 attributes using AI. This database provides multifaceted persona information, classified into attributes based on real registration information and purchasing behavior, as well as attributes estimated from user behavior.

Rakuten has focused on analyzing the robust user behavior data in its services to achieve optimal personalization for individual users. By utilizing a range of rich statistical data insights provided from more than 100 million Rakuten members in Japan through the Rakuten Analytics platform, clients can visualize the online and offline behaviors and personas of their customers, thereby supporting data-driven decision-making.

In the future, Rakuten plans to release an AI assistant feature linked to Rakuten AI to support the analysis of results, as well as implement API integration with in-house and external marketing tools to support the execution of streamlined marketing initiatives. These features will support ad delivery for acquiring customers, Customer Relationship Management (CRM) initiatives to improve customer Lifetime Value (LTV), and additional research for product development.