Synthetic Customers
Definition
AI simulates customer perspectives to test hypotheses and drafts early on.
Synthetic customers are artificial profiles or simulations representing possible reactions to offers. Their answers arise from model assumptions and are not actually observed purchase decisions.
Simply explained
You play through invented customer types to see how an offer might be received.
Why it matters in practice
This can help prepare interviews, text variants, or tests.
Example from business
Hypothetical example: A team lets three simulated customer types respond to the description of a new service and derives interview questions.
Limits and pitfalls
- Simulations can reinforce stereotypes and respond surprisingly uniformly. They neither replace real demand nor representative research.
Origin & history
The approach combines personas and market simulations with generative language models.
Use in mid-sized companies
- Use as a hypothesis generator and verify key assumptions with real customer contacts.
Frequently asked questions
Are synthetic customers real target group data?
No, their statements are modeled assumptions.
Sources
Editorially reviewed on: