
Lyden Foust
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April 28, 2022
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min read
Foot traffic data has become a must for site analysis. While a clear metric like the number of site visits helps decision-making, we know that not every visit is equal. This data does an excellent job of answering the “where” and “how many” details of visits. But it leaves out the “who” aspect of visitors.
Understanding the people behind the visits unlocks the value of foot traffic data. The easiest way to understand otherwise anonymous visitors is to match visits to customer segments. Historically, it has been time-consuming and expensive to do this. Here are the options:
Both paths include a five-figure cost and a free headache.
This is why we put so many resources into building a tool that automates the process of segmenting store foot traffic. I am excited to introduce the mobile data upload tool. Upload a foot traffic report from any provider and get your visits segmented immediately.
Profiling visitors to your site requires three steps:
The first step is downloading a raw visit report in CSV format from your foot traffic provider. The CSV should indicate the home block group of the visit. The tool uses that home block group to assign a segment to visitors.
This is where the magic happens. Once you upload the report on the ‘File Upload’ page, our algorithm applies a weighted distribution of segments based on the home block group of the device. Learn more about this approach.
An email is sent when the report is ready to download. Below is a sample visitor profile report for the Cincinnati Museum Center.
Use cases include any time you’d want to know more about the visitors to a location, such as:
Understand the type of visitor to your city, event, or hotel and market to those types of visitors with relevant upcoming events. Recommend other attractions based on that segment’s interests while they are in town (wine tasting, sports, golf, etc). Learn more about tourism segmentation strategy.
Let the retail interests of visitors guide tenant selection. Profile potential tenants’ top locations to find a property that matches their customer profile.
Profile top stores and find markets with a high percentage of top segments. Enhance targeting for your current stores by running ads to your top customers near your store – personalized by segment.
The introduction of foot traffic data has been arguably the most significant innovation in market analysis over the past ten years because it provides a clear answer to two questions:
We believe that as the use of this data becomes more ubiquitous, people will start to ask:
PersonaLive now answers the “Who” in minutes. And by activating those audiences via the Audience Builder, segmentation moves foot traffic data from insightful to actionable.