Spatial Data: Revolutionizing Out-of-Home Advertising
Technology Category
- Robots - Wheeled Robots
- Sensors - GPS
Applicable Industries
- Equipment & Machinery
- Telecommunications
Use Cases
- Outdoor Environmental Monitoring
About The Customer
The customer in this case study is Clear Channel Outdoor, one of the world's largest outdoor media companies. They have a diverse out-of-home portfolio of half a million sites in 21 countries throughout Europe, Asia, and Latin America. Clear Channel Outdoor's mission is to boost brands by connecting them with the people they want to reach, using media and ideas that enlighten, entertain, charm, challenge, and influence. They use mobile location data to link the physical and digital worlds, identifying devices exposed to their OOH panels and collecting these insights within their RADAR® product.
The Challenge
Clear Channel Outdoor, one of the world's largest outdoor media companies, faced a significant challenge in their operations. They were using mobile location data to link the physical and digital worlds, identifying devices exposed to their Out-of-Home (OOH) panels and collecting these insights within their RADAR® product. However, they encountered a problem in making this data easily accessible to advertisers for campaign planning. The challenge was to create a solution that would allow advertisers to easily access and utilize the insights derived from the mobile location data collected by Clear Channel Outdoor. This was crucial for the advertisers to plan their campaigns more effectively and reach their target audience more efficiently.
The Solution
Clear Channel Outdoor developed RADARView®, a dynamic campaign planning tool that uses aggregated, anonymized mobile location data. This tool was designed to help advertisers plan Out-of-Home campaigns more effectively. RADARView® works by showing what audience groups pass by Clear Channel's panels and mapping them to all of Clear Channel's advertising estate. This allows advertisers to choose the panels that are best suited to reach their target audience. Advertisers can select panels based on various audience attributes such as demographics, shopping habits, or travel patterns. This solution not only made the data easily accessible to advertisers but also provided them with a tool to make informed decisions about their campaign planning.
Operational Impact
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