Synthetic Research Explained, Understanding AI-Powered Audience Testing for Marketers
What is synthetic research and how accurate is it really?
In this episode of That’s What I Call Marketing, Conor Byrne sits down with Dr. Ben Warner, former Chief Data Adviser to the UK Prime Minister and co-founder of Electric Twin, to unpack one of the most talked-about developments in modern market research: synthetic audiences.
This is not ChatGPT pretending to be a consumer. Synthetic research uses real-world survey data, behavioural modelling and large language models to create AI-driven audience simulations that allow organisations to test messaging, product ideas and strategy at speed before committing real budgets. If you work in marketing, insight, product, strategy or leadership, this episode will challenge how you think about research, risk and decision-making.
⏱️ Timestamps
00:00 – Introduction to synthetic research
02:00 – From quantum physics to behavioural modelling
03:35 – Why human behaviour is harder to predict than we think
05:17 – The problem with traditional decision-making tools
09:02 – What Electric Twin actually does
10:00 – What a “synthetic audience” really means
13:59 – Testing creative, messaging and propositions in real time
15:06 – Accuracy vs traditional survey research
17:00 – Real-world use cases across marketing and product
19:02 – The danger of asking the “wrong” question
23:06 – Democratising customer insight inside organisations
25:00 – Where synthetic research fits (and where it doesn’t)
27:00 – Innovation vs risk-averse organisations
29:09 – The story behind the name “Electric Twin”
In this episode, we cover:
How synthetic audiences are built from real-world data
Why traditional surveys can be slow, expensive and restrictive
How AI allows teams to iterate research questions instantly
The difference between testing ideas safely and making bold decisions blindly
Why trust and validation matter in emerging AI tools
Where synthetic research complements (not replaces) conventional methods
Why this matters
Every organisation says it wants to be “customer-centric”.
But insight is often expensive, delayed, siloed or underused.
Synthetic research introduces a new tool into the decision-making toolkit — one that allows teams to explore, iterate and pressure-test ideas before they go live.
Whether you are a CMO defending budget, a product lead developing a proposition, or a strategy team modelling future scenarios, this conversation explores how AI-driven research could reshape how decisions are made.
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🔗 Learn more about Electric Twin and synthetic audiences
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