Next-Generation AI Consumer Research Case Studies

Compress months of research into hours. An adoption guide in which AI personas surface deep psychological drivers and dramatically transform the cost and accuracy of decision-making

AI personas (virtual consumer models) shorten research that once took weeks to months down to hours or days, reducing research cost by up to 70%

LLM, NLP, and sentiment analysis surface latent needs and hard-to-verbalize emotions that quantitative research cannot capture, enabling a multidimensional view of the why

We integrate diverse data — purchase history, past research, interview transcripts, and publicly available social data — in a four-step process to generate high-fidelity virtual consumer models

We integrate and learn from fragmented research data previously left unused, reactivating it as organizational knowledge and unlocking the full value of corporate data assets

Research extends to diverse consumer segments beyond geographic and demographic limits, surfacing overlooked customer cohorts and delivering precise market understanding

倉本岳

BizDev Executive Director - 執行役員

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Recommended for

Marketing leaders unable to make timely decisions because consumer research takes weeks to months

Research leads who can capture what happened through quantitative surveys but lack deep understanding of why

Data and insight teams whose past research data sits unused with no cross-functional leverage

New-venture leads aiming to research globally and geographically diverse consumer segments

CMOs and marketing strategy leads pursuing deep consumer insight at lower research cost

Overview

Compress months of research into hours. An adoption guide in which AI personas surface deep psychological drivers and dramatically transform the cost and accuracy of decision-making

A must-read for marketing leads facing volatile markets and prohibitive research costs. This document explains how AI-rendered virtual consumers — AI personas — compress research that previously took months into a matter of hours. It covers the process of structuring dormant data, extracting latent needs, and includes success stories from beverage manufacturers and other sectors. With objective, bias-free insight, this is a comprehensive view of next-generation research that sharply elevates the precision of new-product development and advertising strategy.

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