JSAI2025

Presentation information

Organized Session

Organized Session » OS-33

[4D3-OS-33c] OS-33

Fri. May 30, 2025 2:00 PM - 3:40 PM Room D (Room 1202)

オーガナイザ:西村 直樹(リクルート),池田 春之介(リクルート),関根 翔(メルカリ),大橋 耕也(メルカリ),佐々木 直(講談社),川上 孝介(博報堂テクノロジーズ),松本 健(JINS),磯 智大(ラクスル),小林 健(東京科学大学)

3:00 PM - 3:20 PM

[4D3-OS-33c-04] Optimization of Advertising Budget Allocation Using Marketing Mix Modeling and Establishment of a Stable Supply System in Buiseness

〇Yuya Matsumura1 (1. Novasell Inc.)

Keywords:AI, Effects of Advertising, Optimization of Budget Allocation, Marketing

In recent years, Marketing Mix Modeling (MMM) has gained attention as a method for analyzing aggregated marketing data in response to the growing trend of privacy protection and technological regulations. MMM is a type of market response analysis technique used to calculate the return on advertising investment and optimize budget allocation. This article introduces practical use cases in marketing consulting services and a machine learning platform designed to stably deliver complex analyses.

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