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?
Box office figures only tell us so much. After Disney released a slate of live-action remakes of classic animated favorites, we conducted a quick survey to determine how moviegowers felt about the strategy. Did Disney’s ‘Snow White’ marketing campaign leave it to the wolves? (\Marketing Brew, \03/28/2025)
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:
Hollywood is lobbying hard to get moviegoers out of the house and into theater seats again. So we fielded a fast survey to determine how the general public feels about that idea. Forty-six percent of surveyed US viewers prefer to stream films at home, according to research platform MX8 Labs . (Cynopsis (3/06/2025)
Marketing firm Wunderkind engaged MX8 Labs in January 2025 to survey online shoppers seeking to gain insight on how retailers and brands can better attract and retain customers in the fashion, apparel, jewelry, and accessories categories. Once published, the findings were covered by several industry verticals, including: Generational differences govern online fashion shopping behavior: report (\Fashion Dive, \02/24/2025)
With viewers increasingly tuning into streaming platforms to watch their favorite programming, interest grows along with it to determine which servies are standing out among them. We conducted a longitudinal tracking poll of 7,000 U.S. consumers age 18 and up to learn which streaming platform ranked best by viewer responses, with Netflix emerging as the clear winner. Media Buying Briefing: Comparing/contrasting Publicis’ and Omnicom’s 2024 results and fortunes ahead (\Digiday, \02/10/2025)
The Super Bowl is the most-watched TV event of the year, making audience insights before, during, and after the game critical to the brands paying top-dollar for ad placement in and around the spectacle. Before this year’s game, we were tasked to determine the viewing plans of different age groups, unveiling some surprising results: Only 44% of young adults planning to watch Super Bowl, survey shows \ (Study Finds, \02/07/2025)
Adopting an AI-driven platform in market research brings significant improvements in speed and scalability, but it’s the return on investment (ROI) that often captures leadership’s attention. Calculating ROI for an AI platform involves understanding the direct cost savings from reduced staffing and increased efficiency, as well as the indirect benefits like faster project delivery and higher data accuracy. Let’s explore a sample scenario to illustrate how an AI-driven platform can drive meaningf
AI is transforming market research organizations by enabling them to become more agile and scalable. With traditional research structures, organizations often struggle with rigid workflows and slow processes, making it challenging to meet client demands for quick, high-quality insights. AI-powered platforms offer an alternative by automating labor-intensive steps, freeing up teams to focus on analysis and strategic decision-making.
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?
