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What our Competitive Intelligence solution solves for

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

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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

How five below uses retail location data to spot new emerging areas

Featured Resources

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How to work with the data

Working with Unacast’s Competitive Intelligence solution, users can explore trends and insights in visitation, demographics, capture rate and area traffic, local trade area, and cross visitation behavior as well as benchmarking to brands, other venues, and competitors.

Positioning Analysis

Understanding your business’s positioning typically involves sample-based methods that are limited in scope and thus difficult to understand real-world trends or conduct with regular frequency. Unacast’s actual foot traffic insights helps customers augment their competitive analysis by allowing them to:

Benchmark against competitors’ foot traffic, peak visitations, visitor trends, etc.

Analyze potential cannibalization effects, localized brand affinity and conduct void analyses

Uncover cross-visitation trends and discover previously unknown competitors

Compare your visitors’ demographic profiles to those of your competitors

Understand consumer behavior with competitors’ sites and effects of their omnichannel sales

Data sets in
this solution

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.

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Emerging areas and migration patterns

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Macro-level location data such as foot traffic at the county level

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Micro-level location data such as foot traffic to a particular venue

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Catchment area data such as origin of foot traffic or distance traveled

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Cross-visitation traffic between venues

Additional Resources

How Gas Stations Use Location Data
How Gas Stations Use Location Data
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Methodology & FAQs

You can learn more about our methodologies and view our frequently asked questions

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