Retail expansion

Decide which market comes next before you study the wrong one.

LookAlike screens 383 metros and 83,008 neighborhoods against the footprint you already operate, then explains why each candidate earns a place on the list.

The problem it solves first.

Expansion teams face a sequencing problem. Local studies and broker work are valuable, but expensive to run everywhere, and starting from a familiar metro pushes the team into detailed work before anyone has compared the national opportunity set.

LookAlike is the screen that comes first. It measures neighborhood resemblance on open data, separates apparent fit from real open headroom, and turns the result into a ranked, explained shortlist your team can act on.

Markets · ranked for Trader Joe's

  1. 1
    Fort Collins–Loveland52% open

    fit 86th · 45 open · 1 store · 30% rival

  2. 2
    Santa Cruz–Watsonville52% open

    fit 86th · 36 open · 2 stores · 25% rival

  3. 3
    Santa Rosa–Petaluma46% open

    fit 81st · 56 open · 3 stores · 25% rival

  4. 4
    Boulder45% open

    fit 80th · 35 open · 1 store · 32% rival

  5. 5
    Olympia–Lacey–Tumwater43% open

    fit 84th · 26 open · 2 stores · 28% rival

  6. 6
    Madison41% open

    fit 78th · 62 open · 1 store · 26% rival

Four ways retail & restaurant expansion teams use it.

  • Screen marketsRank 383 metros by fit, opportunity, and headroom so deeper analysis starts in the right place.
  • Explore whitespaceOpen a market, inspect ranked neighborhoods, and filter for high-resemblance areas with no store yet.
  • Explain and stress-testReview all 21 features and move visible weights to see whether a rank survives different assumptions.
  • Shortlist and exportStar candidates, add notes, keep the scenario, and export a PDF and CSV for the committee.

Questions from retail & restaurant expansion teams

Can LookAlike identify open markets?

Yes. Filter for high-resemblance neighborhoods where the brand has no store yet, review metro scorecards, and examine distance from existing locations.

Can an expansion team change the model assumptions?

Yes. Factor themes and individual features have visible weights, and changes re-score the map and rankings live in the browser. Saved and shared scenarios preserve their assumptions.

Does the shortlist replace a site study?

No. It helps the team decide which markets and neighborhoods warrant a study. Property economics, zoning, access, visibility, and co-tenancy still require diligence.

See your brand's map.

Pick a plan, upload your store list, and rank every US neighborhood against the places you already win.