Service

Service

A next-generation AI marketing research tool. Test which option people are more likely to choose — before launch.

Features

What you can do with PersonaChoice

A next-generation AI marketing research tool that reproduces consumer choices with an AI decision-making engine.

Simulate pre-release concepts, pricing, and messaging in advance

AI personas modeled on real consumer decision patterns respond to your questions

Visualize decisions that include both logic and intuition

Get results in minutes — remarkable speed

How it works

How to use PersonaChoice

Get results right away in three simple steps

1

Enter your question and options

Quick mode screenshot

Simple — just enter 1 question and 2 options!
In addition to text, images are also supported!

Advanced mode screenshot

Set up to 20 questions and 15 options, plus a “simulation context” (a social/premise setting).
In addition to text, images are also supported!

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2

Choose respondents

Quick mode screenshot

You can specify respondents’ gender, age, and prefecture.
Respondents matching your conditions are randomly selected from 100,000 AI personas.

Advanced mode screenshot

You can specify conditions such as gender, age, prefecture, education, industry, income, and keywords.
Respondents matching your conditions are randomly selected from 100,000 AI personas.

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3

Read the results report

Task report sample screen
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When the simulation completes, a detailed analysis report is generated instantly. You can also download it as a PDF. (Report content is currently provided in Japanese.)

Quantitative data (charts)

Support rates by age group and gender are shown visually, so you can see at a glance which segments responded most strongly.

Qualitative data (reasons)

“Why did they choose that option?” See persona-level reasons generated from each persona’s attributes, personality, and values.

Psychological analysis

You can analyze whether the choice was made by “reason” or by “intuition,” and the factors behind the decision.

Science

Why PersonaChoice’s results are trustworthy

PersonaChoice’s decision-making architecture is designed on solid theories from behavioral economics and psychology. It is designed to model aspects of human judgment, including irrational and intuitive factors, and has been benchmarked against selected real-world datasets through extensive experimentation and tuning.

Daniel Kahneman’s dual-process theory (fast intuition and slow thinking)

We independently modeled the “intuition (System 1)” and “logic (System 2)” thinking modes proposed by Nobel laureate Daniel Kahneman. Human decision-making consists of two processes: “fast thinking” that judges instantly and intuitively, and “slow thinking” that deliberates logically. Building on this dual structure, PersonaChoice adopts a design philosophy that reproduces “realistic, human-like judgment” — including hesitation and emotion, not just rationality.

Multi-attribute utility theory (MAUT)

Multi-attribute utility theory is the idea of making decisions by integrating multiple evaluation axes such as price, performance, and convenience. Rather than judging options as simply good or bad, PersonaChoice compares and evaluates multiple factors in balance, simulating selection tendencies that are closer to reality.

Prospect theory

People tend to be more strongly influenced by “the risk of loss” than by “the benefit gained.” PersonaChoice accounts for this seemingly irrational trait of human psychology, reproducing decisions that include emotional factors such as anxiety about price and fear of failure. This captures the wavering in choices that logic alone cannot explain.

Big Five (the five major personality traits)

People’s choices are greatly influenced not only by attributes but also by “personality.” Building on a widely used psychological personality-trait model, PersonaChoice reflects differences in values and judgment tendencies, achieving a more realistic decision simulation that accounts for individual differences.

Synthetic Audience

Two synthetic audiences

Standard synthetic audience

Based on Japan’s demographic data (age, gender, regional distribution, etc.), our proprietary personality engine generates AI personas with lifestyles, personality traits, and values at scale. This population is the “standard synthetic audience” that is ready to use immediately, even if you have no data of your own.

Currently 100,000 AI personas are available today. You can instantly call up a target segment such as “women in their 20s, Tokyo” and check real reactions to products and content in real time.

* Planned to expand to a scale of 1 million.

Company-specific synthetic audience

For companies that have member/customer data, we build a dedicated synthetic audience that reflects their membership base.

You can validate decisions about your own plans, ads, and products in advance, without repeatedly surveying real members. You can also compare your membership base against the standard synthetic audience (general Japanese consumers) on the same foundation.

* The company-specific synthetic audience is a custom build for enterprises (PoC / joint development). We confirm the range and accuracy that can be reproduced by checking the granularity of the data you provide, and validate it against unused real data before presenting it. Please contact us to discuss.

AI Simulation Core

Meet 20 examples
from our 100,000 AI personas.

The displayed data is a summary. In an actual simulation, each persona reasons and decides autonomously based on far more detailed internal parameters (values, consumption behavior, interpersonal preferences, and more).

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Use Cases

Use cases

Useful across a wide range of industries and purposes

CASE A

Corporate marketers

  • New product acceptance testing

    Quantify the “sense that it will sell” at the concept stage.

  • Package selection

    Use image tests to pick the design people “reach for” on the shelf.

  • Naming development

    Instantly extract the top 3 most-liked names from 100 candidates.

CASE B

Influencers & creators

  • Thumbnail optimization

    Test click-worthy images with personas close to your viewer base.

  • Deciding video titles

    Have PersonaChoice personas judge the “hook words” that grow views.

  • Merch production

    Predict in advance which merchandise designs and color variations will be popular.

Rehearsal

The pre-release “rehearsal” matters a great deal

PersonaChoice complements and solves the challenges of traditional survey methods.

The “test-drive” space PersonaChoice provides

PersonaChoice is a “safe rehearsal” space for marketing.

Unvarnished feedback

PersonaChoice’s personas don’t hold back. They return candid, unscripted reactions.

Overwhelming speed

Even a 1,000-person simulation completes in just a few minutes.

Test, learn, and refine before launch

Catch major issues before launch and refine your concept before release.

PersonaChoice does not predict the future.
It helps you visualize likely tendencies and decision possibilities before launch.

Get Started

Why not try it for free first?

Experience new marketing possibilities right now with 3,000 bonus points (free) for first-time sign-ups.