Unacast's Location Insights Platform helped RJM Design Group improve urban park management. RJM used location data to find peak visitation times and analyze park usage. They created a new “saturation... per acre” metric to guide resource allocation. This lets cities target maintenance where it matters most. The solution helps cities keep parks cleaner, safer, and better for everyone.
Unacast’s location data insights helped a nation-wide retail brand optimize its brick and mortar strategy. The retailer faced challenges expanding into new markets and needed to reevaluate store loca...tions. Using Unacast’s migration trends, foot traffic, and demographic data, the brand identified growth areas, benchmarked competitors, and found market gaps. The data revealed where populations and incomes were rising, helping the retailer choose new store sites and improve product assortments. The retailer also used footfall data to measure market share and gain competitive intelligence for better site selection.
A nationwide pet industry client with over fifty locations wanted to improve their marketing. They had just brought their marketing in-house and needed better data to understand their customers. They... used Unacast’s Location Insights Platform and Spatial.ai’s PersonaLive Platform. These tools helped them target their marketing and learn more about their customers’ behaviors. The client saw better media planning and targeting, and they plan to keep using these tools for future campaigns.
The Retail Coach wanted to improve their data analysis without making their process more complex. They needed a flexible and easy-to-use solution for analyzing trade areas and customer segments. They... chose Unacast’s Location Insights Platform to help them quickly generate custom trade areas and view detailed psychographic data. The platform made their workflow faster and easier. Since using Unacast, The Retail Coach has seen a decrease in work turnaround time and maintains a 90% client retention rate.
CASE STUDY University of Florida Transportation Institute (UFTI)
Unacast's location intelligence helped the University of Florida Transportation Institute (UFTI) study human mobility during the 2019 Kincade Fire. UFTI researchers used Unacast's data to analyze eva...cuation patterns before, during, and after the wildfire. The insights supported emergency managers in improving wildfire response strategies. The study also helped planners create better outreach and training for vulnerable communities.
Johns Hopkins University wanted to model how COVID-19 spreads in small towns. They needed data on how people move around, but did not have it. They worked with Unacast to use its Observations dataset.... This data helped them build a better simulator called Anytown, USA. The tool helped people see how public health rules like mask mandates and vaccines could change the spread of the virus.
CASE STUDY University of Florida Transportation Institute (UFTI)
UFTI wanted to understand how people moved during the Kincade, California wildfires. They worked with Unacast to use location data to study evacuation patterns. The data showed when and how people le...ft evacuation zones. This helped UFTI learn about evacuation behavior during wildfires. The findings help emergency managers plan better and prepare communities for disasters.
The University of Chicago wanted to improve public parks using better data. They used smartphone location data to see how people use parks. The data helped them find which areas were used most and wh...ere there were problems. This let them plan parks that are more fair and useful for everyone. The project showed that clean, accurate data can help make better public spaces.
Unacast's location intelligence platform helped the University of Chicago use smartphone GPS data to improve public park planning and engagement. The university integrated geospatial insights to meas...ure and validate park usage, focusing on equity and accessibility. Clean, validated location data revealed how different areas of parks are used, guiding better design decisions. The solution enabled more precise, data-driven improvements to public spaces.
Unacast’s Observations dataset helped Johns Hopkins University model COVID-19 spread in small towns. The university’s research team needed real-world mobility data to build the Anytown, USA simulator.... Unacast provided detailed location analytics, improving the accuracy of the simulation. The tool helped show how public health actions like mask mandates and vaccines affect virus spread. The project highlighted that small communities need unique pandemic strategies.
CASE STUDY A Fortune 500-ranked property and casualty insurer
Unacast's Migration Patterns product helped a Fortune 500 property and casualty insurer improve risk assessment in underwriting. The insurer needed better data on consumer in-store behavior to delive...r fair and accurate quotes. Unacast provided location data that aligned with the insurer’s internal standards and enabled custom metrics for risk evaluation. The insurer confirmed initial positive improvements in loss ratios during testing. Unacast’s support teams delivered on about 80% of the insurer’s custom data requests.
Unacast delivered Insights reports to Lake Nona, a large smart city community in Orlando. Using geofencing and mobile device data, Unacast helped Lake Nona analyze visitor origins, visit duration, an...d activity patterns. This data gave Lake Nona a better understanding of its catchment area and community engagement. The insights supported strategic planning and validated existing demographic and survey data. Lake Nona used these findings to inform conversations with major retailers and refine its long-term growth strategy.
Unacast's location data powers City Forward®, a platform built by Generali Real Estate. Generali needed to make data insights easy for non-technical team members. They chose Unacast for its cost-effe...ctive, historical mobility data. The Data Science team combined Unacast data with other sources to create City Forward®. Now, over 400 professionals use the platform for site selection, geo-marketing, urban planning, and more. The platform helps Generali make better investment decisions and understand customer behavior.
Unacast’s Migration Patterns product helped a large home construction company analyze migration trends in Florida. The company faced challenges from COVID-driven moves and changing migration patterns..., making investment decisions harder. Unacast’s data gave them a clear view of income changes and population shifts. The team used this data with Tableau and Power BI to visualize trends and reduce investment risk. This led to more confident, validated investment strategies across five Florida regions.
Unacast's Migration Patterns dataset helped a leading national home builder validate investments in Florida. The company struggled with outdated migration data from the IRS and Census Bureau, making ...it hard to support land acquisition and market research. Using Unacast, they gained real-time insights into migration, income trends, and regional behavior. They matched new housing demand with migration data and confirmed growth pillars like new jobs and income increases. The builder now feels confident making investment decisions with up-to-date data.
Lake Nona is a fast-growing smart city in Orlando, Florida. They wanted to better understand where their visitors were coming from and how people moved within their community. Unacast gave them Insig...hts reports using geofencing and mobile device data. This helped Lake Nona see visitor origins, visit times, and activity patterns. The data helped them plan for growth and talk to major retailers. It also confirmed their plans with more accurate information.
Unacast helped a real estate client improve ROI on brick-and-mortar sites. The client struggled to understand which demographic segments drove migration patterns. Unacast provided granular location d...ata to identify key trends by age, income, and geography. The client used these insights to make better short-term decisions and plan long-term investments. The solution also shortened the validation period for new developments.
CASE STUDY one of the world’s largest global private investment banks (real estate and private markets division)
Unacast’s Migration Patterns product helped a major global private investment bank’s real estate division. The bank needed better foot traffic and migration data to improve commercial real estate inv...estment decisions. Unacast provided dynamic location data, enabling the bank to identify market trends and forecast demand more accurately. This increased the bank’s confidence in their investment models. The division came closer to meeting their return on assets and return on equity goals.
Unacast’s location data helped Firefly improve digital out-of-home advertising. Firefly needed to measure who saw moving ads on taxis and rideshare vehicles. Unacast provided real-world location data... and strong support. Firefly used this data to target audiences, measure campaign results, and optimize ads. The partnership enabled better audience measurement and attribution, making ads more relevant and effective for brands.
Relu AI used the RoadStar platform, powered by Unacast’s location data, to improve out-of-home (OOH) advertising in India. Advertisers faced challenges with unclear metrics and ROI in OOH campaigns. ...The platform gave them precise audience measurement, real-time insights, and transparent reporting. Clients gained trust in their data and saw better campaign planning and execution. The self-service model let advertisers plan and measure campaigns easily, leading to more effective and innovative media strategies.
Unacast’s Location Insights Platform helped The Retail Coach improve its data analysis for retail recruitment. The Retail Coach used the platform to quickly create custom trade areas and view psychog...raphic segmentations. The solution made workflows faster and easier for both research and business development teams. Work turnaround time decreased. The Retail Coach now enjoys a 90% client retention rate and high customer satisfaction.
Relu AI wanted to help advertisers measure and improve their out-of-home (OOH) campaigns in India. Advertisers had trouble knowing if their OOH ads worked because they lacked good data. Relu AI used ...Unacast’s location data to give advertisers clear and accurate ways to track their campaigns. This helped advertisers plan better, trust the results, and spend their budgets more wisely. The platform made it easier for advertisers to try new ideas and see what worked, leading to better business results.
Unacast helps M1 Data & Analytics build better attribution models for connected TV (CTV) campaigns. M1 uses Unacast data to link ad exposure to real-world consumer actions. The solution lets clients ...set custom attribution windows, like three or seven days. Unacast’s data adds detail about devices and households. M1 can now show how CTV ads drive visits to physical stores.
Henry Ford Health System wanted to understand how human movement affected air quality in Detroit. Before 2020, it was hard to tell how much cars versus factories caused pollution. During the pandemic..., they used Unacast’s Social Distancing Scoreboard data with air quality data. This helped them see that less movement meant lower air pollution. The new data was very helpful for their research. They plan to keep using this data as they study more changes.
Unacast’s Social Distancing Scoreboard helped Henry Ford Health System study air quality in Detroit during the pandemic. The health system used human mobility data to see how reduced vehicle traffic ...affected pollution. They found that less movement matched lower air pollution levels. This new data gave them valuable insights for their research. Henry Ford Health System plans to use this data in more studies.
Unacast's location data helped an AdTech client improve hyper-local advertising. The client needed reliable location data to power its programmatic ad platform. Unacast provided strong data validatio...n and fewer errors, making integration easy and fast. The partnership led to better targeting and platform performance. The client praised Unacast's support and plans to keep working with them.
Unacast’s Location Insights Platform and Spatial.ai’s PersonaLive Platform helped a nationwide pet industry client with over fifty locations improve their marketing. The client wanted to move away fr...om assumptions and use real data to understand customer behavior and demographics. With Unacast, they gained detailed trade area analysis by zip code, making media planning and targeting easier. Spatial.ai enabled them to identify top customer segments and create targeted campaigns. The client saw better marketing results and plans to keep using these tools for deeper customer insights and a stronger brand.
An AdTech client wanted to improve hyper-local targeting for its advertising platform. They needed reliable location data to power their campaigns. The client chose Unacast for its strong data valida...tion and helpful support team. Integration was easy and finished ahead of schedule. The partnership led to better platform performance and more accurate location-based targeting. The client is very satisfied and plans to keep working with Unacast.
