Cuebiq, a next generation location intelligence company that helps businesses glean actionable insights about real-world consumer behaviors and trends, will be using location data to make predictions about the outcome of the U.S. presidential election on November 8, 2016.
The company will analyze and record foot traffic of those who are coming out to vote on Election Day in 13 swing states, where the race is closest. Through its anonymized geo-behavioral data, Cuebiq can determine likely political party affiliation for the voters coming out to the polls. Under the assumption that the majority vote along their party lines, Cuebiq will predict who will be the next president of the United States by seeing if more Republicans or Democrats come out to support their party’s candidate.
“We’re excited to embark on this project of analyzing footfall rates for Republicans vs Democrats on Election Day,” said Antonio Tomarchio, CEO of Cuebiq. “It will be interesting to see the application of location data technology to see if it might help to determine the outcome at a faster and more accurate rate.”
Cuebiq will analyze footfall at all polling stations in each swing state as well as census data on Election Day to determine likely turnout rates. Based on its audience segmentation, Cuebiq will breakdown voters by their likely party affiliation and predict election results for each swing state based on this data. The results will be uploaded to a dedicated page on the Cuebiq site and updated hourly.
The 13 swing states to be analyzed are below. Polling times (noted in Eastern Standard Time) are also indicated below. Cuebiq will be calling the winner in each state minutes after the polling stations in that state close.
- Colorado: 9am – 9pm
- Florida: 7am – 7pm
- Iowa: 8am – 10pm
- Michigan: 7am – 8pm
- Nevada: 10am – 10pm
- New Hampshire: 6am – 8pm
- North Carolina: 6:30am – 7:30pm
- Ohio: 6:30am – 7:30pm
- Pennsylvania: 7am – 8pm
- Wisconsin: 8am – 9pm
- Minnesota: 9am – 9pm
- Arizona: 9am – 10pm
- Georgia: 7am – 7pm
Cuebiq has partnerships with over 150 mobile apps and analyzes offline behavior and footfall through its proprietary data methodology, which includes mobile users’ proximity signals, frequency and dwell time. Its intelligence platform analyzes a combination of GPS, Wi-Fi, and beacon signals when collecting mobile user data, and only analyzes data from users who accepted to share location with Cuebiq’s partner apps.
For this specific study, Cuebiq will be using its mobile user data that consists of over 40 million daily active users in addition to census data. As a member of the advertising industry privacy watch group The Network Advertising Initiative (NAI), Cuebiq ensures that all the data it collects, including that which it will use for this study, meets NAI’s specific privacy regulations and that users’ personally identifiable information is kept out of Cuebiq’s data collection pool.
Cuebiq is a next generation location intelligence company that allows businesses to glean actionable insights about real-world consumer behaviors and trends. Using its data intelligence platform, Cuebiq provides geo-behavioral insights and offline location analytics, geo-behavioral audiences for cross-platform ad targeting, and offline attribution analysis. Cuebiq is a member of the Network Advertising Initiative (NAI), the leading self-regulatory industry association dedicated to responsible data collection and its use for digital advertising. Cuebiq is headquartered in New York with offices in Italy and China.