Synthetic data is rewriting the rules of marketing measurement – as featured in MediaPost

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The demand for richer, more complete datasets to power robust marketing mix modeling (MMM) has never been higher. Synthetic data, generated artificially to reproduce the statistical characteristics of real datasets, offers a transformative solution.

In a recent article for MediaPost, our Global Head of Data Tasha Webb outlined how these new AI-powered tools are creating a new frontier for privacy-first marketing measurement.

What we covered in MediaPost

Tasha explored the transformative impact of synthetic data and AI on marketing measurement in this article, which was published in March 2026. Key points included:

  • Filling Critical Data Gaps: Synthetic data can intelligently fill gaps where information is incomplete, such as competitor activity or hyper-local economic signals, allowing for more comprehensive and robust modeling.
  • Unlocking First-Party Data Safely: It provides a privacy-compliant solution for analyzing sensitive customer data. By generating statistically representative synthetic versions of proprietary datasets, brands can restore analytical depth without exposing underlying personal information.
  • Making Unstructured Data Legible: Large Language Models (LLMs) can convert vast amounts of unstructured information—like news sentiment, industry reports, and research outputs—into structured signals that can be systematically incorporated into measurement models, adding valuable context.

Read the full article here: Synthetic Data Is Rewriting The Rules Of Measurement

Our view: Synthetic data augments human expertise, it doesn’t replace it

The evolution of synthetic data and AI presents an exciting opportunity, but it is not a silver bullet. While it’s estimated that up to 80% of analytical work involves data wrangling, these tools accelerate, they do not decide. The human element remains the most critical component for ensuring that the assumptions embedded in any AI-assisted process are sound and that outputs are interpreted in the correct business context.

At Gain Theory, our 50 years+ of innovation in marketing effectiveness has taught us that technology is a powerful extension of our core expertise. We combine our data excellence and advanced analytics capabilities with a global team of experts who bring deep experience in delivering marketing effectiveness to brands from a wide range of sectors.


Ultimately, we understand that true value is unlocked when advanced technology is guided by authentic, transparent partnership and deep human expertise.

Explore further

Read more of our thinking about synthetic data and marketing measurement:

Want to understand how to integrate synthetic data into your marketing measurement program? Contact us


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