Tom was Chief Data Scientist at Inscape and MarketCast. He founded data ventures later acquired by GfK, Ericsson, Verimatrix and MarketCast. His expertise includes AI, data fusion and measurement.
ExpertiseSurvey technology, data science and research automation.
AI isn’t just making market research faster and cheaper—it’s making it better. Not by replacing human judgment, but by augmenting it. By helping researchers see more, dig deeper, and connect dots that were previously hidden in the noise, AI is enabling a step-change in the quality of insights teams can deliver.
AI is cutting the cost of market research—but not in the way most people think. It’s not just about reducing headcount or slashing budgets. The real impact is broader and more democratizing: when insight gets cheaper, more people across an organization can afford to ask questions. And when more people ask questions, the volume and diversity of insights grow.
The promise of AI in market research has long been framed around efficiency: faster surveys, quicker reports, real-time dashboards. But what if speed isn’t just a nice-to-have? What if it’s the unlock for a deeper transformation—one where faster research leads to more research, richer insights, and better decisions?
Designing surveys isn’t just about asking the right questions—it’s about ensuring a smooth, logical flow that keeps respondents engaged and delivers clean, reliable data. Managing complex skip logic, branching paths, and validation rules can be a tedious and error-prone process. AI is changing this by automating and enhancing survey programming and logic checking. Here’s how AI simplifies and strengthens survey logic:
In the world of market research, understanding consumers—what they think, feel, and want—is crucial. This deep understanding has traditionally been the domain of human researchers who bring empathy, intuition, and cultural awareness to the table. With the rise of artificial intelligence (AI), there’s a growing concern that AI, being just a machine, lacks the human touch necessary to truly grasp the nuances of consumer behavior. But is this concern valid?
Artificial Intelligence (AI) has revolutionized many industries, and market research is no exception. By automating data collection, analysis, and interpretation, AI promises to deliver deeper insights faster than ever before. However, like any powerful tool, AI comes with its own set of challenges and risks. One significant issue plaguing the market research industry is the negative impact of AI on data quality, particularly through the rise of AI-enabled survey fraud.
Artificial Intelligence (AI) is no longer the future; it's the present, and it's reshaping the landscape of market research. AI-powered analytics offer advanced tools that can significantly enhance the accuracy and efficiency of your market research efforts. Here are five ways AI is making a tangible impact.
In the realm of market research, understanding consumer behavior is crucial. Artificial Intelligence (AI) has emerged as a key player in unraveling the complexities of consumer preferences and trends. This article delves into how AI enhances our understanding of consumer behavior.