This is where Neighbourly is strongest. We turn Canadian property, boundary and demographic data into location analytics you can act on — so you know which markets to enter, where to open, and how to shape a network for growth.
Most expansion decisions are made on gut feel, a spreadsheet of last year's sales, or whatever data happened to be at hand. The result is markets entered too late, sites that underperform their neighbours, and networks that quietly cannibalize themselves. The signal exists in property, demographic and movement data — it is just rarely assembled and modelled with enough rigour to trust. We close that gap with defensible market analysis and location analytics built for the way you actually make decisions.
Clear, sourced reports on any market or catchment in Canada — demographics, demand drivers, competition, property and boundary context — so a market case is grounded in evidence rather than assumption.
A repeatable model that scores and ranks markets against the factors that drive your business, turning a long list of possibilities into a prioritized, defensible pipeline for expansion.
Location analytics and site selection modelling that estimate how a specific address will perform — trade areas, catchment demand, drive times and local competition — before you sign a lease or close a purchase.
Analysis of your existing footprint to find gaps, overlaps and cannibalization, then a modelled plan for where to add, relocate or consolidate locations across the network.
Geospatial modelling across neighbourhoods, boundaries and catchments — hot-spot detection, coverage analysis and demand surfaces that reveal patterns a flat table of numbers hides.
Movement and mobility data that shows how people actually flow through an area — footfall, commuting patterns and visitation — to validate catchments and sharpen every site decision.
A ranked, evidence-based view of where demand and opportunity are strongest, so you commit capital to the markets most likely to reward it — and skip the ones that only look good on paper.
Site selection grounded in real catchment, mobility and property data means new locations open into demand, not into hope, and outperform sites chosen on instinct.
See your footprint as a system: close gaps, reduce cannibalization, and plan additions and relocations that lift the performance of the network as a whole.
Every recommendation is traceable to its data and its model, giving leadership, investment committees and partners a market analysis they can scrutinize and stand behind.
We start with the decision you need to make — enter a market, choose a site, reshape a network — and translate it into clear, measurable questions and success criteria.
We bring together Canadian property, boundary, demographic and mobility data through Neighbourly and your own sources, cleaning and joining it into a trustworthy analytical base.
We build the market-ranking, site-selection or network models the question calls for, testing assumptions and validating results against reality rather than presenting a black box.
We deliver a clear recommendation with the maps, reports and models behind it, so your team can act now and keep re-running the analysis as markets change.
Market analysis asks which markets or regions to pursue and in what order; site selection asks which specific address within a chosen market will perform best. We do both, and the same location analytics feed each: market rankings narrow the field, then site-level modelling picks the winning location.
Our market analysis and site selection are grounded in Canadian property, boundary and demographic data through Neighbourly, combined with mobility and movement data and your own performance data. That mix is what makes the location analytics defensible.
Yes. Neighbourly is built around Canadian real estate and location intelligence, so our market analysis and site selection cover markets and catchments across the country, down to the neighbourhood and boundary level.
Absolutely. We join your performance data to our property, demographic and mobility layers so the models reflect how your business actually behaves. That is central to network optimization and to calibrating site-selection estimates.
Both. You get the reports and recommendations for the decision at hand, plus the underlying market-ranking and site-selection models, so your team can re-run the location analytics as new sites and markets come up.
Decide exactly where data should create value first, with a prioritized roadmap and aligned stakeholders.
Explore service →FoundationsClean, unify and enrich your records so your teams work from one accurate view.
Explore service →CustomersSee who your customers are, what they are worth, and where to find more of them.
Explore service →Tell us where you are and where you want to get to. We'll map the shortest path there.