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To get the most well rounded picture of your customers and markets, location analysis uses a combination of these data points:
Start exploring the markets and trade areas you are interested in with our Starter Plan. Tap into the trade area make-up, demographic distribution and available real estate to determine if it matches your businesses clientele.
Visualize competitors, anchors and industry groupings around your markets. For North America, Points of Interest data is sourced from ChainXY. They collect and validate chain lists regularly to improve positional accuracy. All chain-based data on our app is updated on a quarterly base.
Get insights into the unique behaviours, interests, and beliefs that characterize any area with location-based social media data. Our geosocial data, acquired through Spatial.ai, can help you identify behavioural trends across regions.
Demographic data is based on the most up-to-date census information available from Statistics Canada (Canada), the U.S. Census Bureau (USA), Synergos Technologies and the Australian Bureau of Statistics (Australia).
Visualize stats on housing, age distribution, income, work force, spoken languages and more.
View traffic counts and patterns around your site. Understand directional traffic volumes by time, day and year. PiinPoint partners with mobile location data provider, NEAR.
Get a customized report of the people who visit any location boundary you define with custom geofences. Using mobile location data provided by NEAR you can understand the movement of your customers; get daily traffic volumes, length of visits, monthly trend analysis, and more.
Demographic data is based on the most up-to-date information available from Statistics Canada (Canada), the U.S. Census Bureau (USA), Synergos Technologies and the Australian Bureau of Statistics (Australia).
Visualize stats on housing, age distribution, income, work force, spoken languages and more.
Visualize competitors, anchors and industry groupings around your markets. For North America, Points of Interest data is sourced from ChainXY. They collect and validate chain lists regularly to improve positional accuracy. All chain-based data on our app is updated on a quarterly base.
Get insights into the unique behaviours, interests, and beliefs that characterize any area with location-based social media data. Our geosocial data, acquired through Spatial.ai, can help you identify behavioural trends across regions.
View traffic counts and patterns around your sites. Understand directional traffic volumes by time, day and year.
Get a customized report of the people who visit any location boundary you define with custom geofences. Using mobile location data you can understand the movement of your customers; get daily traffic volumes, length of visits, monthly trend analysis, and more.
The location strategies and portfolios of North America’s top retailers can be awe inspiring when you put some thought into how they got to be where they are today. We often take for granted the sheer amount of decision making and analysis that’s required to take a company from its first location to a hundred locations, let alone to a thousand or more.
In this interview, we sit down with the founders of Capriotti’s to learn how they grew the franchise to over 100 locations in just ten years.
Data comes in many forms, and any retail or real estate professional knows that good data is the cornerstone of making sound site selection decisions. Here, we look at the different types of customer data, why customer data is so powerful, and how easy it is to leverage customer data to inform your retail and site selection strategy.
