PiinPoint’s Location Intelligence platform provides an easy to use interface for your analytics and data to increase your location success. We use AI & machine learning to provide deep insights into markets across North America and Australia.
Giving you the data and insights you need to evaluate site locations, understand your customers, competitors, and identify growth or optimization opportunities for your company.Explore PiinPoint's Location Intelligence>
PiinPoint can help you create a detailed site report in seconds, helping you understand the people who live, work and play around any location, the retail landscape, competitors, points of interest, traffic counts, movement patterns, and trade areas.Create a Detail Site Report in Seconds>
It’s impossible to make decisions about your business that you can be confident with when you’re relying on outdated dataset or missing key information.
We have partnered with the industry’s leading data providers to give you access to up-to-date, reliable and comprehensive datasets, and a platform that allows you to combine them with your own data. Giving you the insights you need to make business decisions with confidence.
Mobile Location Data
Zoning and Development Data
Integrate your internal data into PiinPoint to see sales patterns over time across online and in-store channels, simulate strategy for new store openings, relocations, closures, or plan your entry into e-commerce
Looking to validate a potential location or understand the unique characteristics of an existing site? PiinPoint can help you test your assumptions, pull trends across different sites, monitor changes, and understand how well the consumers that dwell there fit your unique requirements.
Visualize, compare, and report on a myriad of raw datasets using an easy-to-use mapping platform.
Get to know the area around your existing, potential, or competitor locations. PiinPoint gives you access to demographic data, pedestrian and vehicular traffic counts, and identifies nearby competitors and points of interest for any trade area.
Query any location to quickly identify how well a location will do in sales, allowing you to identify the locations that hold the highest sales potential and reject those in your real estate pipeline that don’t.
PiinPoint’s Impact Analysis helps you understand the ripple effects caused by changes in your network, so you can answer questions like: Will opening a location here cannibalize sales from other locations? What happens if I close or relocate this location?
PiinPoint can help you analyze your existing profile, to understand how many locations a market can support, where the market is oversaturated, and how many opportunities exist for your brand.
Get to know your customers, beyond their demographics. PiinPoint combines your customer data with mobile location data to learn who your customers are, where they come from, how you can reach them, and what is important to them.
Find out what impact competition and points of interest have on stores success, and how store performance will be affected by their presence in the market.
Determine a store’s capture rate by exploring where your customers live, work, and go before and after visiting a location using mobile location data.
Landlords and CRE professionals are leveraging technology to establish new ways of leasing and purposing space in an era of physical distancing. For retailers, the pandemic has forced many to reevaluate their real estate strategies. In light of this reimagination, our team has been working hard to provide tools for retailers to develop new strategies for their physical footprint; be it to evaluate changes and performance in their network, understand the potential of omnichannel, or experiment with new operations. No matter who you are, we’re all acknowledging that this “new normal” requires a plan for success.Read More...
How well do you know your customers? You may have figured out their age, income level, and household type, but do you know what they tweet about? Can you segment them based on what they share on Instagram? Can you tell the behavioural differences between two middle-aged, affluent females that look quite similar demographically, but whose lifestyles are quite different?Read More...