Our Blog What we're up to, what we're seeing, and what we're thinking
We added a lot of new functionality this release, connecting the Data Mining module to the rest of Polaris, connecting Targeting directly to the rest of Polaris, and adding Point-Based Trade Areas. We added a new type of trade area called “Point-Based”. These trade areas are defined by a single or a group of postal codes. These “Point-Based” trade areas can be combined with each other in the same way that typical trade areas can be, which enables a new level of precision to Trade Area Analysis! […]
As reported by the Financial Times [paywall], spending on out-of-home advertising is the only traditional media that continues to grow while others are declining and being replaced by online advertising.
What is out of home? Out of home refers to billboards, outdoor posters, street furniture (e.g. bus stops), airports, truck ads, and restrooms. Outdoor advertising as a category has grown […]
As McDonald’s starts selling Beyond Meat sandwiches in Canada, we are reminded of all the ways that Canada, and in particular, markets like London Ontario, serves as a test market for global corporations. In recent years, Ikea’s pick-up warehouses, Lululemon’s loyalty program, Facebook Dating, Twitter modifications, and in the early 2000s, McDonald’s Chicken Nugget and Swiffer’s Wet Jet, have all been tested in Canada before being […]
DX3 is Canada’s biggest retail, marketing, and technology event. 2020’s conference will be held on March 10 and 11 at the Metro Toronto Convention Centre. We will be exhibiting at booth #115, and we hope to see you there! They will be extending early-bird pricing by 1 week. DX3 is also providing 25 free Full-Access tickets to charities! Send them an email at firstname.lastname@example.org […]
In the latest release, we added functionality to the Data Mining module, improved stability across the platform, and enhanced the ability to save and load maps. We created a simple Frequently Asked Questions (FAQ) page. We connected the Data Mining module to the Polaris database, which means users can now save files on the cloud and work on them later. We enhanced the stability and performance of the Map Layers tab. We added tabs to the Data Mining module to make it a little more user-friendly. […]
It’s not easy to choose where to open a new retail location, let alone a new supermarket. This article from the Toronto Star covers the closing of T & T’s Cherry Street location as well as some considerations retailers, especially sophisticated retailers like Longo’s, make when they evaluate new locations. Polaris Intelligence is perfect for this kind of use case. Strategists can use Polaris to evaluate neighbourhood demographics […]
Santa’s elves have been hard at work fixing some issues and adding a couple exciting new features. For example, the “Pre-defined Markets” tab has been added to the Mapping Centre. This lets you load up these markets on the map and compare them to your custom trade areas. We added the ability to save and load map layers and combinations, including Heat Map layers and POI Maps. This means you can save a map that has multiple trade areas, a Heat Map, and Points of Interest, and reload that map. […]
We presented and had a booth at the Data and AI Marketing conference. We co-presented with Outfront Media about finding and reaching specific audiences with a small budget, showing many data visualizations including heat maps, lift charts, and geo-fences. We also co-presented with Pat Pellegrini, the CEO of Vividata on cannabis usage. Vividata’s robust surveys show that social acceptability for Cannabis usage has not changed meaningfully since legalization. […]
Vividata, Canada’s leader in consumer and cross media research, and Manifold Data Mining have partnered to deliver market insights within Manifold’s newly updated Polaris Intelligence platform. Applying collaborative filtering and supervised deep learning techniques to Vividata’s Survey of the Canadian Consumer (SCC) and Consumer Cannabis Study, Manifold has extrapolated the survey to the 6-digit postal code level. […]
We use cutting-edge analytics and technology, and work with leading researchers in Big Data and Data Science. We published a paper in Advances in Knowledge Discovery and Data Mining with York University on using a recommendation system in a novel way. Recommendation systems have been used for job sites and Facebook’s recommended friends system, but have primarily been used in ecommerce and news. This paper looks at recommender systems in healthcare. […]
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