
Location intelligence platform turning human mobility data into actionable insights
Unacast is a location intelligence platform that transforms raw human mobility data into processed datasets and validated insights. The platform covers over 1 billion monthly devices across 180+ countries from 15+ data suppliers, with data cleansing that reduces waste by 65%. It offers a Location Insights Platform with generative AI for surfacing insights, raw location data feeds, and the Turbine data processing platform for telco operators. Key capabilities include foot traffic analytics, trade area analysis, consumer psychographics, predictive modeling, trend analysis, and audience segmentation. Unacast serves use cases in site selection, advertising measurement, competitive intelligence, and market research across industries like retail, real estate, finance, and CPG.
Track and analyze visitor patterns, dwell times, and traffic trends across physical locations with granular time-series data
Surface actionable insights from mobility data using built-in generative AI that answers natural-language questions about foot traffic and consumer behavior
Access mobility data from over 1 billion monthly devices across 180+ countries sourced from 15+ vetted data suppliers
Define and analyze trade areas around any location to understand visitor origins, commute patterns, and competitive overlap
Segment visitors by psychographics, demographics, and behavioral attributes to build targeted marketing and advertising campaigns
Use predictive modeling to evaluate potential retail or office locations based on foot traffic forecasts and demographic fit
Built-in anonymization and aggregation protocols aligned with GDPR and CCPA ensuring ethical and transparent data practices
Process raw telco geotagged data at scale through the Turbine platform, transforming it into privacy-friendly mobility insights
Integrate location intelligence into your own applications via RESTful APIs or receive bulk data feeds for custom analytics workflows
Link multiple devices to the same user profile for more accurate visitor counting and journey mapping across touchpoints