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Leaving Insight to Digital Twins? Promise, Progress and Limits of Synthetic Respondents Cover

Leaving Insight to Digital Twins? Promise, Progress and Limits of Synthetic Respondents

NIM Marketing Intelligence Review
Volume 18 (2026): Issue 1 (May 2026)
By: Carolin Kaiser,  Jakob Kaiser,  Rene Schallner,  Vladimir Manewitsch and  Lea Rau  
Open Access
|Apr 2026
Figures & tables

Figures & Tables

Midjourney AI prompt by GCO

FIGURE 1

Comparison of brand selection results across types of brands between data from real and synthetic respondents

FIGURE 2

Comparison of brand attitudes across types of brands between data from real and synthetic respondents
Midjourney AI prompt by GCO

FIGURE 3

Brand attitude distributions, comparing real responses with synthetic data generated via direct Likert-scale elicitation and semantic similarity rating
DOI: https://doi.org/10.2478/nimmir-2026-0008 | Journal eISSN: 2628-166X
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Language: English
Page range: 48 - 53
Published on: Apr 8, 2026
Published by: Nuremberg Institute for Market Decisions
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Synthetic Survey Data,
Large Language Models,
Digital Twins,
Brand Funnel
Related subjects:
Business and economics,
Political economics,
Public finance and fiscal theory,
Business management,
Marketing, sales, customer relations,
Management, organization, corporate governance,
Business management, other

© 2026 Carolin Kaiser, Jakob Kaiser, Rene Schallner, Vladimir Manewitsch, Lea Rau, published by Nuremberg Institute for Market Decisions
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.

Volume 18 (2026): Issue 1 (May 2026)
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