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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






Stop guessing where to open next, and make informed decisions backed by data. Get insights on who your customers are, when and where they’re coming from, and what your communities’ interests are. Discover which locations match your market criteria and how traffic patterns affect your location.

Automate broker and partner submissions so every opportunity is centralized, enriched, and ready for review, without chasing emails or updating spreadsheets.

Understand why a site is likely to succeed and how each factor affects performance, while forecasting sales and cannibalization and generating streamlined REC packages.

Uncover risks and opportunities earlier by monitoring portfolio performance, identifying market gaps, and improving expansion, renewal, relocation, and closure decisions.
" I use the Pinpoint reports not only to identify markets but it's a part of the sales process ..."

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.

Find out what makes one location out-perform another.
Directional scoring 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 today 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.
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
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How are developers adapting how they market neighbourhoods and developments? How do you build for a transitioning demographic? How are major shifts in consumer patterns, work behaviour, and urban growth impacting retail and Developers? Read our interview with Marty Pawlina, at Rohit Developments to find out how.
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If the pandemic has taught us anything, it’s that consumer shopping behaviour has changed, likely forever. Convenience and safety are now a high priority which has reduced shopping trip frequency and dwell times in the store. We all know what that means - a reduced basket - making the economics of brick and mortar investment more challenging. So retailers have to adapt, and they have!
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