Overview
This is the documentation for the latest version of our Visitation product. If you have an existing integration all details might not align with what you are receiving.
Unacast's Visitation datasets are your solution for unlocking the power of physical location intelligence. Our advanced machine learning models combine multiple data sources such as historical foot-traffic, area profile, demographic context, or privacy-friendly first party GPS data to estimate visitation at different locations. With this data, you can benchmark your brick and mortar stores against competitors, make informed site selection decisions, investigate back-to-office behaviour, and improve location performance.
Potential Use Cases
Retail
- Stop guessing where your customers come from. See where your store captures people from and where visitation gaps exist.
- Take charge of your physical store strategy by understanding your visitor demographics and cross shopping behavior.
- Decide on the best new locations for your expansion strategy by comparing foot traffic and potential customer base.
Commercial Real Estate
- Mitigate risk and make data-informed property acquisition and rent decisions.
- Find optimal co-tenants by understanding regional and national trends.
- Monitor back-to-office foot traffic performance for existing portfolio locations.
Financial Services
- Incorporate foot traffic data into your models for predicting performance.
- Identify new opportunities by finding brands and locations that are gaining popularity.
- Monitor the foot traffic of your existing portfolio companies for making investment decisions.
About the Datasets
We provide these datasets:
- Foot Traffic: estimated visitation to your location
- Trade Area: estimated home and work locations of your visitors
- Demographics: estimated demographic breakdown of your visitors
We provide those datasets with the following locations:
| Datasets/Locations | Point Of Interests (POIs) | Census Block Groups (CBGs) | Custom Boundaries |
|---|---|---|---|
| Foot Traffic | ✔️ | ✔️ | ✔️ |
| Trade Areas | ✔️ | ✔️ | ✔️ |
| Demographics | ✔️ | ✔️ | ✔️ |
And those datasets are coming with the following cadences:
| Datasets/Cadence | Weekly | Monthly | Quarterly |
|---|---|---|---|
| Foot Traffic | ✔️ | ✔️ | |
| Trade Areas | ✔️ | ||
| Demographics | ✔️ |