Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
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.
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.
Location planning historically has had a tendency to confirm organizational biases, rather than inform an overall strategy or direction. The future is to try and remove that bias and build a location intelligence and analytics capability to guide the real estate and store planning teams to strategic decisions where
In light of Hurricanes Harvey & Irma, we’ve built a new flood risk layer in PiinPoint that allows any user to view flood zones across the United States. Using this layer, users can anticipate the risk of flooding for existing or potential real estate in any market.
