What if you could test a product with tomorrow’s consumers – before they even exist?
That’s the promise of synthetic data. By generating AI-powered personas built from real-world behaviours, historic data and smart prompting, insight teams can run faster, more predictive research – without the usual constraints of time, budget, or even fieldwork.
In this session, we’ll share learnings and best practices for the future of consumer insight, alongside Maud Hua-Bulteau (Consumer Insights Lead, Purina) and Robbie Johnson (Client Collaborator, Bulbshare). Tune in as we explore the potential of AI and synthetic data to revolutionise how we understand people – today and five years from now.
Featuring:
Maud Hua-Bulteau: Consumer Insights Lead, Purina
Robbie Johnson: Client Collaborator, Bulbshare
Covering:
How synthetic personas and digital twins can replicate real-world consumer behaviour – and what that means for the future of testing
Practical tips on prompting, segmentation, and building future-facing personas with KnowledgeAI
Scaling research with synthetic data for qual depth at quant scale
