Strategy
Building a Portfolio of Store Locations
When site selection becomes a repeatable system rather than a sequence of one-off decisions, expansion gets faster and cheaper. Here is how chains that do it well structure the process.
Insights
Thinking on retail site selection, trade areas, and expansion data.
Practical perspectives from practitioners. No fluff, no sponsored content.
Closing Underperformers: The Data Signals to Watch
The hardest decision in retail expansion is not where to open next. It is figuring out which existing locations are holding the portfolio back.
A Lease Decision Framework That Protects Against Overexpansion
Setting explicit numeric thresholds for what a candidate location must score before going to lease negotiation removes a category of mistake chains keep making.
Site Selection in Urban Markets and Dense Neighborhoods
Dense urban markets punish the standard fixed-radius trade area model. Walk-time polygons and layered mobility data are not optional here; they are the difference between a viable and a failed location.
Cannibalization Risk: How to Model It Before You Sign
Chains know cannibalization happens. The ones that expand well model it explicitly before committing to a location, not after the first year of sales transfer shows up in the numbers.
What Census Data Misses About Retail Location
Census data describes who lives near a candidate location. It says almost nothing about who shops near one. That is the gap mobility and transaction data exists to fill.
From Gut Feel to Data: Specialty Chain Expansion
Specialty retail chains often start with founder instinct on location. The ones that scale past 20 locations without a site selection crisis are the ones that replaced that instinct with a repeatable model early.
Trade Area Analysis in a World of Changing Shopping Habits
Post-pandemic shopping patterns have shifted which neighborhoods anchor consumer movement. Trade area models built on 2019 data are making 2026 decisions with the wrong priors.
Three Metrics Every Retail Site Selection Team Should Track
Most site selection decisions are evaluated on intuition or simple foot count. These three data-grounded metrics change the conversation from opinion to evidence.
How Growing Chains Evaluate Local Demand Before Opening
The difference between a location with strong foot traffic and one with genuine unmet demand for your category is what separates profitable opens from underperformers. Here is how chains measure the difference.
The Hidden Cost of Cannibalization in Multi-Location Retail
Chains undercount cannibalization because they measure it at the location level, not the portfolio level. The systemic revenue drag from a pattern of overlapping trade areas is larger than most expansion teams realize.
Why Foot Traffic Alone Does Not Tell You Where to Open
High foot traffic tells you people are nearby. It does not tell you whether they will come to your store, whether there is unmet demand for your category, or what your nearest existing location would lose if you opened. You need all three.