
Sign up to save your podcasts
Or


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.
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”
If you found this useful, share it with a colleague and subscribe for more conversations with marketing leaders shaping the future of the industry.
🎧 Listen to more episodes of That’s What I Call Marketing
📌 Connect with Conor Byrne for more marketing insight
🔗 Learn more about Electric Twin and synthetic audiences
Hosted on Acast. See acast.com/privacy for more information.
By Conor Byrne5
33 ratings
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.
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”
If you found this useful, share it with a colleague and subscribe for more conversations with marketing leaders shaping the future of the industry.
🎧 Listen to more episodes of That’s What I Call Marketing
📌 Connect with Conor Byrne for more marketing insight
🔗 Learn more about Electric Twin and synthetic audiences
Hosted on Acast. See acast.com/privacy for more information.

59 Listeners

31 Listeners

350 Listeners

364 Listeners

1 Listeners

46 Listeners

238 Listeners

29 Listeners

110 Listeners

357 Listeners

937 Listeners

31 Listeners

1,476 Listeners

61 Listeners