Visit Data: Best Visit Datasets & Databases
What is Visit Data?
Visit data, like other types of geospatial data, gives you detailed information about the number of visitors to a certain area over a specific period of time. It is used by real estate developers to predict their next development areas, and retailers to track consumer movement.Learn more
Recommended Visit Data Products
Intuizi Visitation Dataset | Aggregated PoI Footfall Data | 6 Countries | Cloud delivery or Visualized via our platform | 400m Uniques
Olvin | Retail Brand Visit Data | Ground Truth Validated Dataset
Factori Mobility/ Raw Location Data | Global mobile location data (1 year history)
Area Visitors -- analyze global foot traffic trends for geographic areas via API or batch data delivery
SafeGraph Visit Attribution Data - US, UK, Canada| POI and Business Listing Information with Building Footprints and Spatial Hierarchy Metadata
Veraset- Geospatial 'Visits' or Point of Interest | US Only
Tamoco Store Visits USA | visitation data to brands and Point-of-Interests
Intuizi Visitation Details Dataset | Mobility detail data, 6 Countries | Cloud delivery &/or visualised on our platform | 400m Uniques, updated daily
Olvin | Store Visit Data | Ground Truth Validated Retail Dataset
Quadrant Visit Data - 900+ Million Unique Devices - 200+ Countries - Global Raw Location Data
More Visit Data Products
The Ultimate Guide to Visit Data 2023
What is Visit Data?
Visit data is similar to other sub-categories of geospatial data. It tells you the number of visitors to a specific place, area or landmark. This could be anything from the local shopping to a national monument. Much of this information is also covered by POI visitation and foot traffic datasets. A visit dataset can give you detailed visitor information, such as how many people came to visit over a specific period of time, how long they stayed for or even visitor demographics.
How is Visit Data collected?
There are 2 main ways of collecting visit data:
Geolocation data - one source of visit data is by using geolocation data. This can track how many people are in one area at a certain time by counting the number of devices, but although it is more frequently updated than on-site data it is often less accurate because geolocating is not always spot-on.
On-site data collection - visit data can also be collected on-site by measuring how many people pass through manually or recording numerical values, say the number of cars parked at the location or the number of visitors who bought tickets to an attraction. This method is fairly accurate and comprehensive because it comes from first-hand experience but it is also less efficient because it takes a long time to collect and process and is often more costly.
What are the attributes of Visit Data?
Typically visit data will provide information about the location visited - think coordinates, location, name, function etc. More importantly it will give you visitor information, such as how many people visited, when and whether they made a repeat visit at a later date. A visit dataset might also give you information on visitor demographics, such as gender or age.
Details about the location itself can be important, because unlike POI visitation datasets, visit data can be any location anywhere and so might not necessarily be a landmarked place. From there, you can work out why people are visiting and tailor marketing or business schemes around this information.
What is Visit Data used for?
Public institutions and private companies use visit data to learn more detailed information about different locations and the people who visit. This allows them to improve their visitors’ experience of the location.
Some organizations use visit data to study the public’s behavioral trends, while businesses can use this data to track their in-store progress and compare it to competitors.
Local governments can also use visit data to evaluate the popularity of public places and monuments and assess their performance.
Developers can use visit data to determine or predict areas of high traffic or foot traffic to work out where to locate their next project. If an area is suddenly gaining popularity amongst the generation about to hop on the property ladder, it would make sense to try to build a development there.
How can a user assess the quality of Visit Data?
The best visit datasets will provide real-time or regularly updated visitation data so you can have the most comprehensive overview of different POIs visitation performance. Historical visitation records are also often useful as you can see trends in the public’s behaviour and use this effectively. Always make sure to read the data provider’s reviews before buying any visit data and you should ask for a data sample before you purchase to ensure that their data is the right fit for your needs.
Where can I buy Visit Data?
Data providers and vendors listed on Datarade sell Visit Data products and samples. Popular Visit Data products and datasets available on our platform are Intuizi Visitation Dataset | Aggregated PoI Footfall Data | 6 Countries | Cloud delivery or Visualized via our platform | 400m Uniques by Intuizi, Olvin | Retail Brand Visit Data | Ground Truth Validated Dataset by Olvin, and Factori Mobility/ Raw Location Data | Global mobile location data (1 year history) by Factori.
How can I get Visit Data?
You can get Visit Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Visit Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Visit Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Visit Data?
Visit Data is similar to Foot Traffic Data, Restaurant Traffic Data, Foot Traffic Data USA, Trip Data, and Consumer Activity Data. These data categories are commonly used for Location-based Advertising and Foot Traffic Attribution.
What are the most common use cases for Visit Data?
The top use cases for Visit Data are Location-based Advertising, Foot Traffic Attribution, and Location-based Audience Analytics.