[SAMPLE] PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US ...

Our Aggregated Foot Data and Visit Data for the US South Eastern Cities uses advanced Geohash-7 to analyze visitation patterns (by day and hours), the number and type of specific businesses in a particular area (ex., number of small retailers), and users insights within that area (Ex. percentage of population that have children).

How to use this dataset?
Our clients use this dataset to enrich their ML models and analyze foot traffic patterns, real estate investing and planning, infrastructure development, site selection, user behavior analysis, marketing OHH strategies, POV analysis, among others.

What does this dataset include?
With this aggregated dataset with 80+ fields, you'll be able to explore:
- Pedestrian traffic per day and hour
- Vehicle traffic per day and hour
- Type and number of places like bars, restaurants, thrift stores, educational services, small retailers, manufacturing places, pharmacies, and more.

Also, our data analysis brings you pedestrian's insights like:
- Percentage of male and female population
- Percentage of population by age
- Percentage of population by ethnicity
- Percentage of the population that has children

US states covered by this dataset:
- Florida
- Alabama
- Georgia
- Louisiana
- Tennessee
- Mississippi

Historical coverage:
One year (2023).

Our aggregated aggregated foot traffic data is collected by request of quantity, coverage, and period.

Why should you trust PREDIK Data-Driven?
In 2023, we were listed as Datarade's top providers. Why? Our solutions, based on aggregated visit data, mobility data, and foot traffic data, are designed to adapt and cater to a company's specific needs. The PREDIK methodology is client-centric, focusing on the necessary elements for the success of their projects.