It’s no secret that the ease of online shopping and free two-day shipping has become an increasingly attractive alternative to shopping at traditional brick and mortar retail locations. Factors like COVID-19, the appeal of purchasing from an Instagram post, and much more have led to more than 12,600 stores closing in 2020 as of August 4, 2020. Retail is seeing household names like J.Crew, JC Penney, and Lord & Taylor claim bankruptcy as the future feels uncertain. While times may be hard for retail, location intelligence and foot traffic analysis can help retail stores gain insights into their customers, competitors, and their overall in-store traffic. This is all incredibly helpful for retail stores looking to expand, or change their location.
Shopping in person is not dead, but pressure from e-commerce does mean that retailers need to be better than ever at identifying store locations with the highest profit potential. Rather than using hunch-driven methods for choosing site locations, retailers need an accurate and data-driven process for retail site selection analysis so they can make educated decisions. To do this, they are turning to location intelligence and foot traffic analysis. This technology helps retailers:
- Determine heavy foot traffic areas
- Identify popular days of the week and times of the day
- Find an area that is popular among a target market
This article will take an in-depth look at this technology and give you some actionable advice on how to incorporate location intelligence and location based insights into retail site location analysis and selection so you’ll know how to choose the most optimal location for your store.
As a retailer looking to expand to a new location, there are multiple ways to use location intelligence and foot traffic analysis to enhance retail store location analytics and inform site selection. These include uncovering consumer demographics, understanding customer behavior and gaining insights into competitive performance.
Before we dive in, we’ll discuss what both location intelligence and foot traffic analysis are. Location intelligence is described as “the collection of insights we can gather from the interaction between people and physical locations”. At Skyhook, we define location intelligence as a methodology that marries location data and business data together to help solve a variety of business problems. Foot traffic analysis is derived from location intelligence and helps better understand how people move around certain physical locations. This allows businesses to analyze movement patterns around specific venues, like retail stores, to extract meaningful insights. These insights are then used for the use cases below:
Better Understand Customer Demographics
Since a trade area, or geographic area from which a brick and mortar store gets its customers, is vital to the success of a physical store location, your retail team needs to be sure that you’re opening stores where your target customers live or often visit. Instead of relying on broad census data or making assumptions based on competitor stores, location intelligence gives you real-world insight about the people who live and travel around specific retail site locations.
By using location intelligence for retail site analysis, you’ll gain insights about the customer demographics around your area of interest. In addition to the demographic information, you can see where else consumers like to shop or visit in their free time. And if you collect this data over time, your team can measure trends, like whether or not the target demographic is growing or shrinking in a given area and the rate at which the population is changing in a given area.
Location intelligence and foot traffic analysis ultimately gives you a data-driven method for measuring who visits specific locations, so you can more confidently choose a retail location that will last for years to come.
Learn More About Customer Behavior
Location intelligence and foot traffic analysis also gives you the ability to analyze consumer behavior to better understand potential customers at new retail locations. Whether you’re trying to decide between two different sites within an outdoor shopping center or opening a store in a completely new building, location intelligence can help you with retail site analysis by giving you the ability to look at how and where people shop.
With location intelligence, you can even monitor the behavior of people around certain areas to measure if there is enough foot traffic to open a store in that location. And for retailers who are trying to decide between two different storefronts in similar locations, foot traffic analysis can provide more information about the demographic makeup of people who tend to cluster around specific areas.
Unlike a person’s digital footprint, their actual footprints are more revealing and help you select a location that gets maximum traffic from your target audience and demographic. For instance, placing a Lululemon near a Wendy’s may not make the most sense in terms of those two brands’ sets of consumers, but placing it near a Sweetgreen, Dig Inn or Tender Greens is more logical since they all share similar consumers.