Exhibitor Information

ILLDEFINED

Booth No. : RT7040

Exhibition Details

This booth showcases a live demo of an effect measurement system for head office teams in planning, promotion, marketing, and corporate strategy at retail and restaurant chains. It enables decision-making beyond “run or not,” identifying which execution patterns to deploy, to which stores, and how. The demo also introduces an MMM-based system for optimizing advertising investment.

Case Study Demo of Retail & Restaurant Chain Campaign Effects Using Real Data

  • A causal inference technology that reconstructs the world without the initiative to measure true impact accurately.

Corporate Information

Section
Address Asahi Jinbocho Plaza 909, 2-14-11 Kanda Jinbocho, Chiyoda-ku, Tokyo, Japan
Phone 03-6820-6149
e-mail https://www.illdefined.jp/
URL https://www.illdefined.jp/

Summary of Business

illdefined provides analytics systems for retail and restaurant chains that enable highly accurate evaluation of initiative effectiveness and improve the quality of decision-making. For initiatives directly tied to revenue and profit—such as in-store promotions, advertising, discounts, loyalty programs, store renovations, and operational changes—the system allows companies to quantitatively determine whether an initiative truly worked and which execution patterns should be deployed to which stores or customer segments.

The core strength of the service lies in its proprietary causal inference technology, which reconstructs outcomes that would have occurred had an initiative not been implemented—something traditionally difficult to achieve—and enables precise measurement of true causal impact.

Because results can be analyzed at both store and customer levels, companies can design optimized rollout strategies tailored to high-performing stores or segments rather than applying uniform, chain-wide deployments. Beyond simple go/no-go decisions, the system supports decisions on optimal initiative design and deployment strategies.

illdefined does not position data analysis as an end in itself, but as a foundation for fast, repeatable, and evidence-based decision-making that drives sustained profit growth for businesses.