Point of Buy-α" with unique cluster information across channels/categories Marketing Service with Unique Cluster Information Across Channels/Categories marketing service with unique cluster information across channels/categories

Tokyu Agency Inc. (Head office: Minato-ku, Tokyo; President and CEO: Toshiyuki Takasaka), in collaboration with mitoriz Inc. (Head office: Minato-ku, Tokyo; President and CEO: Hiroshi Kinase), has added a new analysis menu to its existing marketing dashboard service, "Point of Buy-α," which includes Target (Head Office: Minato-ku, Tokyo; President: Hiroshi Kinase), will add an analysis menu with cluster information using TargetFinder(R)* to the "Point of Buy-α" marketing dashboard service already on the market, and will begin offering it on November 20, 2024.

MISUMI is committed to developing and providing integrated solutions that combine "data and creativity" and that are effective for our clients' business growth.

The new service is a marketing dashboard service that combines "Point of Buy-α" ("POB-α"), released jointly with mitoriz, Inc. in May of this year, and our AI clustering tool "Target Finder(R)". This service is based on receipt data.

This service not only enables a speedy understanding of sales comparisons and time-series trends of the company and its competitors' brands based on the real purchasing patterns of consumers based on receipt data, but also provides a higher resolution picture of customers by adding shopping behavior clusters across channels and categories, not only within the company's own product categories. In addition, by assigning shopping behavior clusters not only within a company's own product categories but also across channels/categories, a higher resolution customer profile can be obtained. Specifically, it is easier to infer the reasons for brand support and usage scenarios, as well as to identify potential customer segments and deepen customer understanding.

By utilizing this service for marketing strategy planning, implementation planning, and effectiveness verification, we support our customers' decision making.

Conceptual Diagram

PoB-α Cluster Analysis" analysis results display image (1)

Image of "PoB-α Cluster Analysis" analysis results (2)

About Target Finder(R)

Target Finder(R) is a purchasing and behavior analysis tool developed by our company based on APOSTOOL (currently PLASMA) developed by the National Institute of Advanced Industrial Science and Technology (AIST), and has been available since July 2015.

It is an analysis tool for companies in the retail and service industries that possess big data (large-scale customer data) to implement more efficient marketing measures based on customer behavior, using data that shows "who," "what," and "how much" to cluster similar behaviors.

It is widely used by retailers, common point system operators, and companies that own their own websites.

Point of Buy(R)" consumer purchasing behavior data service

This service supports the marketing of manufacturers and retailers by utilizing one of the largest consumer purchasing databases in Japan. Since the service utilizes purchase information on receipts, it is possible to grasp data on retail chains that are not disclosed in POS or ID-POS data, as well as data on purchasing behavior and co-purchasing behavior across business categories that are linked to users (single source).

Features of the "Point of Buy-α" marketing dashboard service

Based on a BI tool that can be used on a browser, data can be easily accessed at any time.

Based on actual purchase data from 10 million receipts per month, it enables cross-channel analysis of own-brand products, competitors' products, and other categories.

The BI tool visualizes sales breakdowns and time-series trends, allowing users to intuitively grasp the data.

The simple menu design makes the interface easy to use even for beginners.

*Purchase data used in this service does not contain personally identifiable information, as mitoriz, Inc. has obtained consent from the user to provide such data to a third party. We receive and utilize only the purchasing data and do not identify specific individuals.