“Synthetic data” isn’t magic; it’s modeling. It’s trained on “real” data, and the solutions it provides are as real as the problems you have when so-called “real” data isn’t available. When incidence is tiny, budgets are tight, timelines are microscopic, or privacy rules block access, would you rather skip the study, under-power it, raid another budget, or rely on the loudest opinion? Or would you rather employ a model you can validate, explain, and discuss?

You might already address business challenges via models such as multiple imputation, hierarchical Bayes partial pooling, small area estimation/MRP, agent-based simulation, and bootstrap resampling. Today’s AI powered models can surface more complex latent patterns and, with LLMs, support natural language interrogation.

The benefits include:
• New, non duplicative synthetic respondents to lift power in low incidence cells
• Privacy preserving synthetic datasets to analyze when PII access is restricted
• Virtual personas/digital twins for rapid qual exploration

None of this requires a leap of faith—just familiar checks: A/B holdouts, equivalence on priority KPIs, bias/drift monitoring, and clear disclosure.

When harsh reality beasts down your door, don’t settle for noisy or inadequate sample, sacrifice other research for the sake of one project, delay decisions, or rely on some pushy person’s under-informed gut feel. Instead, explore what synthetic data can do and prove it to your satisfaction.

Join us Friday, November 14th for live demonstrations from the innovators who can help you overcome data scarcity and quality challenges!

See for yourself where synthetic augmentation can reduce time-to-insight or improve representation, when it’s better as a parallel benchmark than a replacement, and how to judge for yourself how well a synthetic solution will perform in reality.

Who should attend?
• Insights & Research leaders building a methods roadmap
• Analytics & Data Science teams needing privacy-safe tabular data without PII exposure
• Panel/Sample & Ops managers looking to augment hard to reach B2B or under represented audiences
• Product, CX, and UX teams wanting to accelerate concept iterations with virtual respondents

Agenda

Greenbook's Guide to Synthetic Data & Sample Augmentation Technology

Class

presented on November 14, 2025

Synthetic Data & Sample Augmentation technology overview
Types of solutions
Key features
Next frontiers
Other considerations when shopping for technology

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Synthetic Users: How Synthetic Users Unlock Net New Insights

Demo

presented on November 14, 2025

Traditional research captures what users say, not what drives them. Synthetic Users bridge this gap by modeling the unspoken motives and psychological undercurrents missed in direct questioning.

By simulating the push-and-pull between emotion and reason, they move teams past “what users claim” to “why they act.” This isn’t just faster research — it’s how net new insights emerge, revealing the subconscious drivers like fear, trust, and desire that separate intention from action.

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Fairgen: Beyond the Sample: How Synthetic Data is Powering the Next Generation of Audience Insights

Demo

presented on November 14, 2025

How can audience insights go deeper efficiently and without loss in statistical reliability?

Fairgen’s Founder Samuel Cohen and Big Village’s President Andy Davidson will show how synthetic boosting lifts the scale of Big Village’s audience platform. Building on 50,000 U.S.-rep interviews per year, Big Village’s dataset was pre-boosted to an equally representative ~100,000, unlocking so niche, regional, and demographic specificity in a cost effective and efficient manner. Expect a concise walkthrough of the workflow and validation, plus a case study of how pre-boosting turns thin bases into confident calls—efficiently and cost-effectively.

The result: scale, deeper cuts, faster cycles, and reliable precision where it matters most.

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Verve: From Synthetic to Silk: Building, Maintaining and Using Best-in-Class AI Personas

Demo

presented on November 14, 2025

Verve Intelligent Personas turn human truth into superhuman advantage.
In this session, Founder Andrew Cooper and Executive Director Richard Preedy share how Verve Vero has pioneered its own approach to synthetic personas – moving beyond generic, black-box models to create award-winning “silk-grade” AI personas that are transparent, validated, auditable, and powered by real human data. These personas are used daily by some of the world’s largest brands, helping them make faster, smarter, more human decisions across innovation, brand, comms & futures.
They’ll show what it takes to build, maintain, and apply best-in-class personas that give you the power to bring customers into any decision – in a way which is limitless, excellent, and affordable.

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Panoplai: Synthetic Data, Supercharged: How Panoplai Automates Augmentation at Scale

Demo

presented on November 14, 2025

Synthetic Sample / AI-Augmented Respondents

Join Panoplai, the Human Data Engine, for a live demo on how our platform automates synthetic data augmentation at enterprise scale. We'll show how Panoplai connects real and synthetic data inside one explainable system — unifying survey collection, data ingestion, synthetic enrichment, and interactive reporting in a single governed environment.

We’ll walk through vertical, horizontal, and net-new synthetic studies and share a real-vs-synthetic comparison from a global candy company—where modeled responses mirrored human data with over 90% accuracy. Discover how Panoplai turns your existing data into dynamic intelligence you can audit, validate, and trust.

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