In practice, the label matters less than the requirements.
Regardless of what you call it, a digital twin must:
Panoplai digital twins are designed to meet these requirements so teams can move forward with confidence—not guesses.
If it isn’t grounded in verified human data—or can’t be used to answer real questions—it doesn’t belong in a decision workflow.
A digital twin of your target audience is an AI model built from real customer and research data that teams can chat with to test ideas, compare options, and explore decisions as work evolves.
In Panoplai, digital twins represent real customers or segments and are used to answer practical questions—not generate guesses.
The term “digital twin” originated in engineering. Companies like General Electric use digital twins of jet engines to simulate conditions and prevent failures before they happen.

For 40% of market researchers, marketers, and innovators, their #1 challenge is doing more with less resources. Digital twins address that gap by making existing data easier to explore, reuse, and pressure-test as questions come up.
The risk isn’t using digital twins.
The risk is using ones that aren’t grounded in real data—or can’t be applied to real decisions.
And yet, most people still aren’t sure what they actually are. Or worse—they think they know, and end up trusting the wrong ones.
Whether you're in marketing, research or innovation, digital twins will be impacting your field in the next 5 years. Why? They tackle one of your toughest challenges: doing more with less—without compromising quality.
Step 1: Start with a real human: Panoplai twins begin with verified survey respondents who have opted in, answered thoughtfully, and represent real customer or audience segments—never scraped or synthetic stand-ins.
Step 2: Get more information from them: We combine demographic, psychographic, and behavioral inputs with targeted qualitative and quantitative questions to capture how people think, decide, and feel. We use sentiment analysis AI features to understand not just who they are and how they think, but also how they feel.
Step 3: Model individuals or segments: Teams can work with a single individual twin or a segment-level twin—depending on whether the goal is depth, comparison, or scale.
Step 4: Keep your twin up to date: Twins update as new data is added, ensuring insights stay relevant as markets and audiences change. We collaborate with clients to define sustainable ingestion and update plans.New survey wavesMarket and social benchmarksYour own uploaded datasetsCustom ingestion plans (yes, we'll help you build one)


When you need raw, unfiltered consumer data
Use real respondents when you're collecting new data from scratch—like gauging awareness of a totally unfamiliar concept or brand. For example, running a benchmark brand awareness study for the first time? Use live survey fielding.
When regulatory or compliance requirements demand it
Some industries—like finance, healthcare, and pharma—may require directly sourced human data for compliance and audit reasons. For example, clinical trial perception research under FDA oversight.
When you don't trust the foundation
If the twin wasn’t built on verified, first-party data, the insights could be biased, inaccurate, or worse—hallucinated. For example, you’re using a “black-box” persona with no transparency about where the data came from.
When you want emotional texture that's hard to simulate
While digital twins are great at mimicking sentiment, sometimes you need to feel the emotion—tone, pauses, nuance—that only real human interviews can capture. For example, deep-dive ethnographies or in-home interviews for lifestyle brands.
How could I use digital twins as an innovator?
Build better products by simulating real-world reactions before launch.
Example: Pre-launch feedback with a segment twin
Other applications:
How could I use digital twins as a researcher?
Use digital twins to validate hypotheses, explore emerging trends, and understand audiences in real time — without waiting weeks for new studies.
Example: Test a new product with a segment twin
Other applications:
How could I use digital twins as a marketer?
Digital twins help you pressure-test messaging before it goes live — so you can spend less time guessing and more time resonating.
Example: Copy test with a Gen Z Creator twin
Other applications: