PiinPoint's Cheif Product Officer shares what she has learned from having over 100 conversations with people in the retail real estate industry, and how those conversations have helped shape what products we build.
Today we are excited to announce the integrating ChainXY’s dataset into PiinPoint's Location Intelligence platform. This will provide users with broader and up-to-date brand coverage, more intuitive POI categories, and significantly improved accuracy.
The Government of Ontario has announced that they will change the rules governing retail sales of cannabis in the province, eliminating the lottery system and removing the cap on the number of private retail cannabis stores starting in January 2020. How can Cannabis Retailers take advantage of this new open market, find the best location for their new stores, and ensure they are compliant with all provincial and municipal zoning rules.
Retailers know a location is key to the success of their business, and it’s no different for cannabis retailers. However, the challenge is whether you can find that great location that also fits with the myriad of rules set out by both the province and that particular municipality. This guide helps you navigate the location rules for operating a brick-and-mortar cannabis company in Canada.
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.
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.
As the world goes mobile, the importance of being able to access and interpret the patterns of human movement is becoming more and more critical to retail. On October 12th, 2017 join PiinPoint founders Jim Robeson and Adam Saunders in a compelling talk on the power of using cell phone signal data in site selection.
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.
In this short article, we outline three not-so-obvious ways in which you can leverage your customer loyalty data to improve your business. By employing these methods, you can maximize the ROI from your loyalty program.
Site selection is a difficult process with an overwhelming number of factors to consider. We've built out a framework of key considerations and questions that need to be answered prior to pulling the trigger on a multi-year lease.
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