Over 8 million anonymised devices

Mobile data provides huge insights into the anonymised activities, movement, behaviours and interests of people.

Device data ingredients

Insights are only as good as the quality of the data. Here’s why our device behaviour data asset is so powerful:

  • 8.5 million devices with 50 billion location pings per year. Data is all anonymised.

  • Device location provides insight into travel patterns and shopping locations

  • User behaviour including the types of apps device owners use, owner demographics and online brand engagement

  • Device information including the Carrier, Make (device manufacturer brand name), Model (model number), Operating system and version, Device age and price

Use cases

The possibilities are endless, but the most common applications for this data asset include:

  • Retailers and multi-site businesses: can use movement data to understand store visitation and what their broader lives are like.

  • Outdoor advertisers: can identify, classify and quantify the types of people that are exposed to each advertising site.

  • Commercial property: can understand movement patterns of people into offices, shopping centres, or industrial facilities. This can be used to provide insight for both developments and ongoing operations.

Device data ingredients

Insights are only as good as the quality of the data. Here’s why our device behaviour data asset is so powerful:

  • 8.5 million devices with 50 billion location pings per year. Data is all anonymised.

  • Device location provides insight into travel patterns and shopping locations

  • User behaviour including the types of apps device owners use, owner demographics and online brand engagement

  • Device information including the Carrier, Make (device manufacturer brand name), Model (model number), Operating system and version, Device age and price

Use cases​

The possibilities are endless, but the most common applications for this data asset include:

  • Retailers and multi-site businesses: can use movement data to understand store visitation and what their broader lives are like.

  • Outdoor advertisers: can identify, classify and quantify the types of people that are exposed to each advertising site.

  • Commercial property: can understand movement patterns of people into offices, shopping centres, or industrial facilities. This can be used to provide insight for both developments and ongoing operations.

Got Questions?

We have all the answers! Well, maybe not all but we’ll do our best to help.