Retail Footfall Analysis
Leverage footfall traffic to gain insight and drive sales in your store.
Increase Sales
Drive revenue with location-based insights to get ahead of competitors.
As a retail store owner, you know just how competitive the world of retail is. Having something that can give you an advantage over your competition can ensure your business is and stays successful. Grow your business and drive revenue with the help of On Location Data Company.
Retail Footfall Analysis
You may not realize it, but the people who enter and exit your store are leaving all kinds of clues about their shopping preferences. from their favorite times or days to shop to their favorite products to buy. Even if a customer doesn’t purchase something, there’s usually a hint that can explain why they didn’t. Studying retail footfall statistics can reveal these clues, which you can use to improve your business.
At On Location Data Company, we give you access to this crucial footfall data. Through our service, we collect mobile location intelligence from consumers and convert it into actionable foot traffic data. With our solution, we help you understand the activity at your target locations to find the most active high intent audience based on their actual physical behaviors.
Reach New Customers
70%
of consumers are neutral or OK with sharing location data
30%
of enterprise time is spent on non-value-added tasks
20%
of consumers captured with location data
How Does Retail Location Analysis Help?
Footfall analytics helps you use insights to market to shoppers who are ready to purchase when they are in or near your store. It can also be used to reveal where consumers prefer to shop or which events they enjoy attending, allowing you to do a targeted marketing campaign. Additionally, foot traffic data lets you know when, where, and how to engage with audiences to optimize messaging. Other ways data can help include:
Find New Audiences
The mobile location data that On Location Data Company provides delivers insights retailers can use to build audience profiles divided by interest. This takes the guesswork out of finding ideal buyer populations. For example, an electronics store can look at consumers who are known as “electronics buyers.” This can refer to anyone who has attended electronics shows or visited electronics stores. This demographic would have a high likelihood of making a purchase.
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