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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
Learn who your customers are and choose the best locations for your stores. Stop guessing where to open next, and use our data to make smart decisions.
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.
It comes as no surprise that the absence of a focused data strategy centered on location intelligence is a significant hurdle to the practical application of AI to Real Estate planning. Real Estate executives and GIS experts agreed that in the absence of a holistic data strategy, the organization suffered from three typical roadblocks to leveraging AI effectively: 1) data silos within the organization - non-integrated spatial and other data sources, 2) missing data - incomplete consumer or real estate supply data, 3) acquiring unique sources of new data for competitive advantage.
Read More ...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
Read More ...