Marketing Solutions Built Around Multiple Big-Data Sources
First written in FY2016. 14 of 22 entries say "Advanced", first in FY2023-Q1. Latest entry: 2026-07-29.
Ly moved to the "Worse" side of this theme in 2020.
The whole theme swung hardest in 2020: 1 of 9 companies on the "Worse" side.
6 other companies' latest entry also says "Advanced".
- 2026-07-29AdvancedM&A and Subsidiary Changes
「We believe we can support the development of specific initiatives to improve CVR (Note 2) using the data platforms of the target company’s businesses and optimize the ROI (Note 3) of brand advertising expenditure.」
Initiatives to improve conversion and optimize the efficiency of advertising investment using Kakaku.com’s data platforms were presented as measures to enhance corporate value after the acquisition. They remain plans at the support stage and have not been implemented. - FY2026AdvancedAnnual report
「By using this data across the Group, the Company aims to provide services optimized for each individual user and deliver a higher-quality user experience. In addition, it will actively use rapidly advancing AI technologies to enhance data analysis and improve and automate services, thereby creating added value and improving business efficiency.」
The Company has translated its previous use of multi-source big data into more advanced data analysis, service automation and greater business efficiency through integration with AI. - FY2025AdvancedAnnual report
「Research and development expenses for the current fiscal year were ¥46.597 billion, mainly related to research and development activities in AI and Fintech.」
Research and development expenses focused on AI and Fintech totaled ¥46.597 billion, as the Company continued its technology investment in the data, AI and financial fields. It has also clearly stated its policy of using data across its diverse services. - FY2025-H1AdvancedAnnual report
「Research and development expenses for the six months ended the current interim period were ¥21.834 billion, mainly related to research and development activities for advertising-related services and applications.」
The Company invested ¥21.834 billion in research and development for advertising-related services and applications, continuing its investment in the technological foundation. - FY2024AdvancedAnnual report
「Research and development expenses for the current fiscal year were ¥42.332 billion, mainly related to research and development activities in AI and Fintech.」
Research and development expenses focused on AI and Fintech totaled ¥42.332 billion, quantifying full-year technology investment in the data, AI and financial fields. - FY2024-Q3AdvancedAnnual report
「Research and development expenses for the nine months ended the third quarter of the current fiscal year were ¥31.898 billion, mainly related to research and development activities for advertising-related services and applications.」
Research and development expenses for the nine months ended the third quarter were ¥31.898 billion, mainly for advertising-related services and applications, as the Company continued its technology investments. - FY2024-Q2AdvancedAnnual report
「Research and development expenses for the six months ended the second quarter of the current fiscal year were ¥21.187 billion, mainly related to research and development activities for advertising-related services and applications.」
Research and development expenses for the six months ended the second quarter of the current fiscal year were ¥21.187 billion, as the Company continued to invest in technology for advertising-related services and applications. - FY2024-Q1AdvancedAnnual report
「Research and development expenses for the first quarter of the current fiscal year were ¥10.747 billion, mainly related to research and development activities for advertising-related services and applications.」
The Company invested ¥10.747 billion in research and development for advertising-related services and applications. - FY2023AdvancedAnnual report
「Research and development expenses for the current fiscal year were ¥39.054 billion, mainly related to research and development activities in AI and Fintech.」
Research and development expenses focused on AI and Fintech totaled ¥39.054 billion, quantifying the scale of investment in the technological foundation for the data, AI and financial fields. - FY2023-Q3AdvancedAnnual report
「Research and development expenses for the nine months ended the third quarter of the current fiscal year were ¥28.457 billion, mainly related to research and development activities in AI and Fintech.」
Research and development expenses focused on AI and Fintech totaled ¥28.457 billion, indicating the scale of investment in the technological foundation. - FY2023-Q2AdvancedAnnual report
「Research and development expenses for the six months ended the second quarter of the current fiscal year were ¥18.917 billion, mainly related to research and development activities in AI and Fintech.」
Research and development expenses focused on AI and Fintech totaled ¥18.917 billion, quantifying investment in the technological foundation for the data and financial fields. - FY2023-Q1AdvancedAnnual report
「Research and development expenses for the first quarter of the current fiscal year were ¥7.42 billion, mainly related to research and development activities in AI and Fintech.」
The Company invested ¥7.42 billion in research and development focused on AI and Fintech, quantifying its efforts to build a technological foundation in the data and financial fields. - FY2021ReframedAnnual report
「Since its founding, the Group has developed services based on the belief that the user comes first. Although its scale and organization have changed, its desire to further improve service convenience and enrich people’s lives remains unchanged. Believing that achieving this requires a broader and deeper understanding of users, the Group is working to become “the entity that understands users best through the accumulation and use of data,” and ultimately “Japan’s homegrown platform company that understands Japanese users best.”」
The Company has expanded its previous expression of transformation into a “data-driven company” to “Japan’s homegrown platform company that understands Japanese users best,” incorporating the data and customer base following the integration with LINE. - FY2020ReframedAnnual report
「Since fiscal 2018, the Company has positioned this as its “third founding phase,” made active growth investments, and pursued transformation into a “data-driven company” that operates a business model leveraging multi-source big data.」
The Company’s positioning expanded from using data in its traditional advertising and financial businesses to transforming the entire company into a “data-driven company” centered on multi-source big data. - FY2019RestatedAnnual report
「The Group is a globally unique corporate group that operates more than 100 services, centered on media, e-commerce and payments, across the distinct business domains of media and commerce, providing integrated services from online to offline.」
The Company has reaffirmed its policy of using data from more than 100 services and across media, e-commerce and payments to provide services optimized for users. - FY2018RestatedAnnual report
「Going forward, the Company will use these strengths to reconnect its services and provide services that are easier to use. Specifically, it will seek to improve its services by collecting, accumulating and analyzing data in accordance with its privacy policy and delivering information and advertising suited to users’ needs. By combining data from the media and commerce businesses, which have different characteristics, the Company will achieve unique personalization and maintain the competitive advantage of the Group.」
The Company is putting into practice its policy of using multi-source big data collected from more than 100 services to reconnect services, deliver advertising and information, and personalize offerings by combining media and commerce data. - FY2018-Q3RestatedAnnual report
「Through the formation of a consolidated subsidiary, the Company will lead the management of Japan Net Bank and use the customer base and multi-source big data it has developed to provide high-value-added financial services to Japan Net Bank customers.」
In connection with the formation of Japan Net Bank as a subsidiary, the Company has reaffirmed its policy of using its customer base and multi-source big data in financial services. - FY2018-Q1RestatedAnnual report
「Through the formation of a subsidiary, the Company will lead the management of Japan Net Bank and use the customer base and multi-source big data it has developed to provide high-value-added financial services to Japan Net Bank customers.」
The Company has reaffirmed its policy of using its multi-source big data and customer base to enhance financial services as it expands into the banking business. - FY2017RestatedAnnual report
「The Company has also developed and sells products based on advertising methods such as “targeted advertising,” which uses information including users’ behavioral histories, search keywords, attributes and delivery regions, and “interest matching,” which delivers advertising based on the content of the page where the ad appears, together with the aforementioned behavioral-history data and the delivery time.」
The Company continues to develop and sell advertising products using multi-source big data. - FY2016First statedAnnual report
「Launch of a new strategy for the marketing solutions business centered on the use of multi-source big data」
The Company is linking the use of search and behavioral-history data with the enhancement of advertising products and the expansion of its marketing business.