Hajime Takeda
Hajime is a data professional with 8+ years of expertise in marketing, retail, and eCommerce, working in New York.
Session
Understanding customer behavior is essential in marketing. Traditionally, marketers rely on methods such as surveys, customer interviews, and focus groups to gather insights. However, these approaches can be expensive, time-consuming, and limited in scale and diversity.
Recently, multi-agent simulation powered by Large Language Models (LLMs) is emerging as an innovative technique. TinyTroupe, for example, enables the creation of different personas (e.g., budget‑minded Gen‑Z shoppers, premium‑seeking parents), allowing marketers to predict and optimize advertising effectiveness or replace time-consuming interviews rapidly.
In this talk, I will introduce the key concepts of LLM-powered multi-agent simulations, demonstrate their practical application in marketing through TinyTroupe, and share actionable insights and recommendations.