RETAIL EXPANSION
Decide which market comes next before paying to study the wrong one.
LookAlike screens 383 metros and 83,008 neighborhoods against the footprint you already operate, then explains why each candidate belongs on the list.
The problem
Expansion teams face a sequencing problem. Local studies and broker work are valuable, but they are expensive to run everywhere. Starting from a property or a familiar metro can push the team into detailed work before anyone has compared the national opportunity set.
A useful first screen has to compare markets consistently, distinguish apparent fit from real open headroom, and let the team see which assumptions moved a metro up the list. It also has to move cleanly from the market level into the neighborhoods that create the opportunity score. Otherwise the committee receives a ranking without a practical path to investigate it.
LookAlike provides discovery and triage for retail site selection. It measures neighborhood resemblance on open data, identifies open-market candidates, and turns them into an explained shortlist. It does not predict sales, revenue, foot traffic, or whether a proposed store will succeed.
How expansion teams use LookAlike
- 01
Screen markets
Rank 383 metros by fit, opportunity, and headroom to decide where deeper work belongs.
- 02
Explore and filter neighborhoods
Open a market, inspect ranked neighborhoods, filter for whitespace, and apply distance or competitor constraints.
- 03
Explain and stress-test
Review all 21 features, change visible weights live in the browser, and check whether a rank survives different assumptions.
- 04
Shortlist and export
Star candidates, add notes, preserve the scenario, and export the work for review.
Deliverables for the real estate committee
The work product is a ranked shortlist with enough evidence to challenge. Shareable links preserve the brand, filters, weights, and shortlist so analysts, operators, and real estate leaders can inspect the same scenario. A CSV carries fit bands, reliability flags, competition columns, and the disclaimer into committee analysis. A print-ready PDF gives the discussion a clean, consistent record.
Because reweighting happens live in the browser, the team can test a question during review rather than wait for a new batch. A leader can ask what happens when urban form carries less weight or when a factor theme is removed, and the screen updates while the assumptions remain visible.
The result is a clearer decision about which metros and neighborhoods deserve site-specific work, while the final property decision stays with the team. Analysts gain a reproducible screen, operators gain an explained candidate list, and the real estate committee gets a documented starting point for approving deeper diligence.
Questions from expansion teams
Can LookAlike identify open markets?
Yes. Teams can filter for high-resemblance neighborhoods where the brand has no store, review metro scorecards, and examine distance from existing locations. Open means absent from the tracked footprint, subject to the stated coverage caveat.
Can an expansion team change the model assumptions?
Yes. Factor themes and individual features have visible weights. Changes re-score the map and rankings live in the browser, and saved or shared scenarios preserve their assumptions.
Does the shortlist replace a site study?
No. It helps teams decide which markets and neighborhoods deserve a site study. Property economics, zoning, access, visibility, co-tenancy, and other site-specific questions still require diligence.