FR
JP
Marketing Intelligence
Operational Intelligence
For Data and 
For Marketers
Commercial 
Media & Tech
Restaurants
Retail
Travel & Tourism
Audience Curation
Competitive Intelligence
Customer Insights
Market Research
Site Selection
Trade Area Analysis
Traveler Insights
Platform
Privacy
Case Studies
Resources
Blogs
Upcoming Events & Webinars
Leadership
Press Releases
Careers & Culture
Contact Us
In today’s rapidly evolving business landscape, understanding consumer behavior has become more pivotal than ever. Foot traffic analytics, empowered by consumer behavior data, has emerged as a game-changer for businesses across diverse industries. This sophisticated approach not only unveils valuable insights into customer movements but also aids in making informed strategic decisions that can significantly impact business growth.
What is Foot Traffic Analytics, and Why is it Important?
Foot traffic analytics involves the systematic collection and analysis of data pertaining to the physical movement of individuals within specific locations, such as retail stores, malls, restaurants, tourist destinations and more. It’s crucial as it provides real-world insights into customer behavior within physical spaces, offering businesses a deeper understanding of their clientele beyond online interactions.
What is Consumer Behavior Data, and How Can It Provide Insight into Foot Traffic Analytics?
Consumer behavior data is powerful data on people and places to understand visitation patterns, customer profiles, visitor origins and more. Consumer behavior data combines location intelligence collected from opt-in mobile device data with other critical insights including demographics, brand and location affinity, and more. When all these insights are pulled together, you can identify patterns, preferences, and trends.
Foot traffic analytics helps identify:
Peak hours and days
for any location
Popular zones within a
store or shopping center
Dwell times within
a store or center
Customer journey mapping
including path to purchase
Where consumers
are coming from
Offline attribution for digital marketing campaigns
With these insights, businesses can make better decisions around site selection, store formatting and merchandising, staffing, and marketing strategies for improved customer experiences.
What Use Cases Can Foot Traffic Analytics Enable?
Foot traffic analytics can be used across a wide range of industries, including commercial real estate, retail, restaurants, travel & tourism and more. The applications are diverse, and can help businesses improve ROI across both operational and marketing use cases:
Understand the volume of visitors to competing locations in the area and compare it to yours.
Conduct market area analysis more effectively by understanding foot traffic at certain times of day or days of week, and seeing trends over time.
Reduce risk around site selection by identifying locations with strong foot traffic that matches your customer profile.
Attribute the offline ROI of cross-channel campaigns based on real-world behaviors, like store foot traffic.
Keep tabs on changing traveler preferences with foot traffic data that moves as often as they do. Understand length of stay, visitor origin, what they do while they’re visiting a location, and more.
Build more accurate customer profiles based on their interests and visitation patterns drawn from foot traffic analytics.
There are even more potential ways to leverage foot traffic analytics – understanding the movement of consumers is a lynchpin to making better business decisions across industries and use cases.
What Are The Benefits Versus More Traditional Methods?
Compared to traditional methods like consumer surveys or rules of thumb, foot traffic analytics offers real-time, accurate data that is far more comprehensive. Its ability to provide actionable insights swiftly gives businesses a competitive edge in adapting quickly to changing consumer behaviors.
How Can You Get Started?
Embarking on foot traffic analytics often involves partnering with third-party data providers that specialize in taking the massive quantity of location data and turning it into high-quality consumer behavior data insights to derive actionable insights. Here are some tips for getting your team up to speed:
- Start with clear, specific questions and use cases you want to address
- Highlight elements that are easy to understand – e.g. trade area visualizations – before getting into more technical analysis
- Equip teams with templates and guidelines for utilizing the data
- Help teams understand how to interpret the data – and how to use it
- Find good, high quality data partners that can help guide you and your team
Harnessing consumer behavior data for foot traffic analytics is a strategic move for businesses aiming to thrive in a dynamic market. It’s not just about numbers; it’s about understanding customers on a deeper level and tailoring experiences that resonate with their preferences and behaviors. Embracing this analytical approach empowers businesses to make data-driven decisions that can positively impact their bottom line while fostering lasting customer relationships.
