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"PiinPoint has become an integral part of my role as Retail Analyst at Cushman & Wakefield Waterloo Region. The platform allows me to put together professional looking reports and provide clients with the insights they need to make real estate decisions.
I honestly don’t know how I would do my job effectively without PiinPoint."
Jessica McCabe, M.Ed.
Retail Analyst
Find out exactly who your customers are and capture high-performing sites that match your success factors. Take the guesswork out of site selection and optimize your network using industry leading spatial location data.
Make the decision process easy by analyzing sites, predicting sales and comparing locations.
Our customer success team are experts in location intelligence and happy to share their insights.
Bring your store and customer data into PiinPoint and enrich it with up-to-date data on demographics, mobile traffic, competitors and more.
Sitematch allows you and your realtor to directly upload property listings into your map. Make quick analysis, compare sites and find out if you want to acquire the listing or not.
Explore Sitematch Portals >Find out what makes one location out-perform another.
Marketmatch uses powerful, statistical models to uncover the key attributes driving your store performance and creates a detailed roadmap to plan your future network growth.
Confidently forecast store sales using PiinPoints customized sales modeling approach to quickly validate candidate locations.
Our AI & machine learning technology provides deep insights for real estate and location analysis teams to achieve optimal network performance.
Leverage game-changing insights using mobile data to discover who is visiting a trade area and when, in order to perform detailed site analyses.
Explore Mobile Location Data >Visualize points of interest and demographics around candidate and existing locations. Get started with the Starter Plan and begin your analysis.
Access thousands of data points including; Demographics, Traffic Counts, Mobile Location, Geosocial and more.
Connect with our data science team to optimize your store network through custom store forecasting, cannibalization and performance models.
Join us and special guest Phil Besner from Sleep Country Canada, as we discover insights from Canadian retail execs on the pressing trends impacting decision-making for retail and what the future holds for market planning.
The collaborative synergy among Analytical Teams - particularly between geographic information science (GIS) and data science (DS) teams - separates organizations that have an AI strategy and have invested in “Centers of Excellence” around data and machine learning operations (MLOps) from the rest. Read more on how to overcome this in your organization…
Read More ...As an increasing number of companies collect and distribute mobile location data, we wanted to highlight some of the top applications for tapping into the dataset. We connected with various experts in the field to learn about the primary ways mobile location data is used for real estate decision-making.
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 ...