Digital Twin Truths In Consumer Insight and Sustainability
July 2025, By Ettie Etela
Digital twins are real-time virtual representations of physical systems and are having a moment. Originally used in industries like manufacturing and urban planning, they are now increasingly being explored in retail, healthcare, and even consumer insight. They mirror everything from purchase behaviours to product performance and promise to help brands simulate outcomes, forecast needs, and optimise strategies.
At MM-Eye, we recognise the potential of digital twins as a powerful tool for planning and prediction. However, when it comes to understanding people real, messy, contradictory people, digital twins alone can fall short. Especially in areas like sustainability, where emotion, social signalling, and values often override logic, relying solely on simulated behaviours can result in brands missing the nuance that drives real-world choices.
We believe digital modelling is a valuable part of the insight toolkit. But it is not a substitute for understanding how people actually feel, decide, or behave, especially when those behaviours defy expectations.
The Allure of Perfect Prediction
There is no doubt that digital twins offer powerful potential. The idea of mapping a consumer’s journey, predicting how they will respond to different offers, and refining experiences in real time is exciting. For operational efficiency, supply chains, and even product testing, digital twins are transformative.
That said, the real world of human behaviour isn’t always rational. And that is particularly true when it comes to sustainability.
Consumers might click ‘yes’ on a survey about wanting ethical products, and then choose the less sustainable option at checkout. They might express deep concern for the planet, but still book a long-haul holiday. They might insist they want less packaging, but still reach for the items wrapped in plastic because it ‘feels cleaner.’
Why Behavioural Science Still Matters
We know that people don’t always make decisions based on logic or cost–benefit analysis. We are influenced by context, cognitive load, default options, emotional framing, and social norms. These factors are hard to simulate and often invisible in digital models.
Daniel Kahneman’s dual-system theory reminds us that much of our decision-making is fast, intuitive, and emotionally driven (System 1), not slow and considered (System 2). Digital twins, by nature, tend to model behaviours that look like they come from System 2: rational, consistent, and explainable. But that’s not how most consumer choices are made, especially when they involve trade-offs between values and convenience.
That is why we consistently see what we call the Say–Do gap in our research: what people say they care about versus what they do in practice. This is particularly stark in the realm of sustainability, where good intentions often meet real-world friction.
The Say-Do Gap: Where Digital Models Fall Short
Our Say Do Sustainability Study (SDSS) tracks this gap across a wide range of categories, from fashion to food to travel. What we find is that consumers are emotionally invested in sustainability, but their behaviour doesn’t always follow suit. Not because they are lying, but because they’re navigating a complex mix of identity, habit, accessibility, and social signalling. No digital twin, no matter how well-trained, can fully replicate that kind of internal tension.
Take packaging, for example. A digital twin might show a consumer who repeatedly selects eco-friendly products. But in reality, that same person might abandon those choices the moment the design feels unfamiliar or the recyclable materials don’t stack neatly in the fridge. These are subtle, often subconscious factors but they matter.
Why Real People Still Matter
At MM-Eye, we use tools like ThoughtScape™ to explore how consumers react in the moment, capturing unfiltered, top-of-mind responses. It’s not about what they think they should say, it’s about what really comes up. That’s where the most meaningful insights lie.
Digital models can tell you what someone might do. Qualitative insight helps you understand why. And when you pair both approaches thoughtfully, you get the most complete picture of your audience.
Understanding consumers as more than data points, as people with contradictions, values, and emotional blind spots, is not just good ethics. It’s good business.
Simulation with Connection
Digital twins are useful, efficient, and a brilliant tool in the growing research and innovation toolkit. However, they are most effective when paired with deeper, behavioural understanding. Brands that want to lead on sustainability, drive long-term loyalty, and connect on a deeper level need to go beyond simulation. They need insight that listens, interprets, and respects complexity.
At MM-Eye, we combine advanced tools with behavioural science to bridge the gap between what people say, what they do, and what they actually need. No matter how sophisticated the technology becomes, real connection still starts with real people.
If you are interested in learning more about The Say Do Sustainability Study, ThoughtScape™ or any of the other insights we specialise in to help businesses and brands connect to real consumers, contact us today at info@mm-eye.com or use the form below to book a consultation.