Analyze the performance of any retail location and integrate the foot traffic data to any third-party app via API.
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Foot traffic data, which provides visibility into where people go in the real world, has become the offline equivalent of website traffic analytics. Using anonymous location data from mobile devices, professionals across industries can gain unprecedented insight into brick-and-mortar consumer behavior: the stores people visit, the restaurants they like, and how long they spend at different locations. These insights can be harnessed by retailers, consumer packaged goods (CPG) companies, investors, and others to optimize every stage of running their businesses.
For many professionals, the best way to obtain foot traffic data is through a location intelligence platform that provides an accessible and easy-to-use User Interface (UI). But for others, a foot traffic API (Application Programming Interface) is the better choice. In this article, we’ll delve into some of the advantages and disadvantages of each of these options, and discuss some of the considerations that go into choosing the right foot traffic data solution.
Foot traffic APIs can be contrasted with foot traffic UIs. Foot traffic UIs allow users – including those with little to no technical know-how – to view, manipulate, and analyze relevant data on the location intelligence provider’s own platform.
With foot traffic UIs, professionals can create location analytics reports regarding specific chains or POIs, run analyses using additional datasets provided by the platform, and create visualizations that make it easy to derive insights from the data.
A foot traffic API, on the other hand, lets users integrate foot traffic data into their own business intelligence applications. The data can then be programmatically combined with sales and other types of first-party data to obtain enhanced insights, facilitate custom reporting, and better support business decisions.
Location analytics platforms with built-in UIs offer users some distinct advantages, including:
For companies that employ professional analytics or data science teams with the requisite technical expertise, a foot traffic API can offer an integrated foot traffic analytics experience. Some of these include:
Indeed, for many companies, a solution that combines the utility and capabilities of a platform’s own user interface with the added benefits of an API offers them the best of both worlds.
A few examples can help illustrate the potential benefits of using a foot traffic data API across industries:
In addition to its user-friendly and highly accessible user interface, Placer.ai offers a foot traffic API add-on that allows companies to extract Placer's rich location intelligence data for use in any internal or third-party application. With Placer’s foot traffic API, analysts and developers can enrich, filter, or combine foot traffic analytics with proprietary data to create custom dashboards, facilitate internal reporting, and more.
To find out more about Placer.ai’s location intelligence solution, check out our Guides section.