MFour Links ChatGPT Data to Location Behavior
MFour Data Research announced it analyzed over one million opt-in ChatGPT conversations from January. The company links this zero-party data to consumer demographics, app usage, physical location data, and purchase history to provide visibility into "ChatGPT to Checkout" consumer journeys.
- MFour’s data collection is powered by its "Surveys On The Go®" mobile app, which provides access to a first-party panel of over 13 million U.S. consumers who have opted-in to share their data. - The company's OmniTraffic® platform captures granular location data, observing consumer visits to over 750,000 points of interest, which is then linked to their mobile app usage across 4 million apps and web browsing behavior. - For the sports industry, AI-powered chatbots are increasingly used to enhance the in-stadium fan experience, providing real-time answers for navigation to seats or amenities, and enabling personalized, location-aware offers for merchandise or concessions. - In the health and fitness sector, a key growth opportunity, conversational AI is being integrated into mobile apps to act as a personalized wellness coach, combining user-provided health data with fitness tracking to offer real-time, tailored advice. - The global location intelligence market was valued at $25.06 billion in 2025 and is forecasted to reach $52.67 billion by 2031, driven by demand for spatial analytics and an increase in IoT-enabled data. - As an indicator of market activity, T-Mobile acquired location-based advertising company Blis for $175 million in March 2025 to integrate its technology with their digital out-of-home platform. - Startup funding in the broader AI sector, which powers this technology, saw significant growth in 2025, with AI-related companies raising $211 billion, an 85% increase from 2024. - Linking conversational data with precise location and other personal information raises significant privacy concerns, as this combined data can be vulnerable to breaches and may be used for user profiling without full consumer understanding.
