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This ebook is provided by:
  • ebook
  • Synthetic Data
  • Artificial Intelligence
  • AI Personas
  • Digital Twins
  • AI

One year on: what’s improved, what still falls short, and what it means for insight teams

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Synthetic data has improved rapidly, but can it really replicate the responses of real people? In this latest study, STRAT7 puts synthetic data through a rigorous, real-world test to assess how well it performs against genuine survey responses.

The research explores where synthetic data is becoming more reliable, where limitations remain, and what this means for insight teams considering its use. From topline accuracy and pricing to subgroups, segmentation, key drivers, and tracking change over time, the findings provide an evidence-led view of where synthetic augmentation can add value—and where real human responses remain essential.

This ebook offers practical guidance for insight, brand, innovation, and strategy teams navigating the opportunities and challenges of synthetic data.

Key Learning Outcomes

  • How synthetic data performs against real survey responses across a range of research measures
  • Where synthetic data has improved, and the limitations that still remain
  • Why errors can increase when analyzing subgroups, segments, and more complex data
  • What the latest evidence reveals about using synthetic data for tracking and measuring change over time
  • When synthetic augmentation may be appropriate, and how to assess the risks, costs, and potential value

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