Uncover new trends about your competitive landscape using real-time location data. Leading organizations leverage Unacast’s human mobility insights to build better products and make smarter decisions with real-world data.
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Measure market share and regional dominance over time
Benchmark one or more locations’ against competitors’ sites or total addressable market
Understand consumer behavior with competitors’ sites
Learn where, when, and how often customers visit your location vs. your competitors’
Compare your visitor demographics to your competitors’
Discover common characteristics of your competitors’ locations
While there are many different approaches and methods to aid in site selection, our data sets can be broadly applied in market assessments and trade area analyses.
Understanding a specific venue’s performance typically involves point-of-sale revenue, but this data doesn’t capture how well a store performs in terms of visitation. Site-specific data can also be combined with visitation trends across broader geographies providing an effective indicator of brand, category or industry vitality and consumer behavior patterns. Providing actual foot traffic counts allows users to:
Discover patterns in foot traffic such as peak visitation, repeat or lapsed visitors, and average time at site
Conduct cross shopping, cannibalization, and void analyses
Benchmark one or more locations’ against competitors’ sites or total addressable market
Calculate and monitor customer conversion rate (purchases vs. visitors) and store potential
Uncover cross-visitation trends and measure competitors’ share of foot traffic
Determine visitor profiles like where they come from and average income levels
Unacast provides a selection of specific data sets in our Site Selection solution, many of which can be segmented by area: census tract, county, or state; frequency: day, week, and month; and venue: home and work. For a list of our complete data schema and additional details and descriptions of these data sets, check out our data dictionary here.
Download our Data Dictonary
Emerging areas and migration patterns
Macro-level location data such as foot traffic at the county level
Micro-level location data such as foot traffic to a particular venue
Catchment area data such as origin of foot traffic or distance traveled
Cross-visitation traffic between venues
You can learn more about our methodologies and view our frequently asked questions
Learn MoreSchedule a meeting with the Unacast team: Jon Torre, Jimmy Greco, Paige Hollier, and John Ryan. Not ready to meet with us? Send us an email instead.
