# Find the neighborhoods that look like where you already win. Site-selection discovery for retail and commercial real estate teams. LookAlike ranks all 83,008 US neighborhoods by resemblance to where your stores already win, and explains every match. Location intelligence for site selection LookAlike profiles the neighborhoods around your existing stores, ranks every neighborhood in the country by resemblance to that footprint, and explains, feature by feature, why each one made the list. [Get started](https://lookalikeiq.com/pricing/) [See how it works](https://lookalikeiq.com/method/) ![LookAlike Explore view: a dark national map of the United States with high-resemblance neighborhoods highlighted in orange and red, existing stores marked as dots, and a ranked list of top lookalike neighborhoods on the right.](https://lookalikeiq.com/shots/explore.webp) - 83,008neighborhoods scored - 21open-data features each - 383metro markets screened - Everyscore explained ## Rank every neighborhood in the country on one map. Pick a brand, yours or any US chain, and the national map lights up the neighborhoods that most resemble where it already operates. Only high-similarity areas are coloured, so the map points you at where to look first. - **Filter to open markets**High-resemblance neighborhoods where the brand has no store yet. - **Score live in your browser**Reweight and re-rank instantly, with no batch jobs to wait on. ![The national LookAlike map: high-resemblance neighborhoods light up in orange and red across the United States on a dark base, while everything below the similarity threshold stays uncoloured.](https://lookalikeiq.com/shots/explore.webp) Only the neighborhoods that most resemble the brand's footprint are coloured, so the map points you where to look first. ## Screen markets before you screen neighborhoods. The Markets report aggregates neighborhood resemblance for 383 metros, each with a scorecard for your brand, so an expansion team can choose which market to examine first. - **Fit**How strongly the metro's neighborhoods resemble your footprint. - **Opportunity**The open, high-resemblance share, adjusted so big metros don't win for being big. - **Headroom**Open lookalikes per existing store, and competitor presence. Markets · ranked for Trader Joe's 1. 1 Fort Collins–Loveland **52%** open fit 86th · 45 open · 1 store · 30% rival 2. 2 Santa Cruz–Watsonville **52%** open fit 86th · 36 open · 2 stores · 25% rival 3. 3 Santa Rosa–Petaluma **46%** open fit 81st · 56 open · 3 stores · 25% rival 4. 4 Boulder **45%** open fit 80th · 35 open · 1 store · 32% rival 5. 5 Olympia–Lacey–Tumwater **43%** open fit 84th · 26 open · 2 stores · 28% rival 6. 6 Madison **41%** open fit 78th · 62 open · 1 store · 26% rival ## Every match arrives with its explanation. Open any neighborhood to see its fingerprint against your brand's archetype: the features that drive the match, where it diverges, and a similarity percentile beside an absolute fit band. The score never stands alone. - **Percentile and band**National resemblance, plus a Strong, Moderate, or Weak fit against your own stores. - **Reliability flags**Noisy small-area estimates are marked, so you know which numbers to trust. Neighborhood fingerprint · vs Trader Joe's Brand archetype This neighborhood ## A shortlist your team can stand behind. Every ranking is built from features you can see and move, and every match opens into the reasons behind it: the features that line up, where a neighborhood diverges, and how much to trust the estimate. Your analysts bring the judgment. LookAlike ends the work of scanning 83,000 neighborhoods by hand and hands them a ranked, explained starting point they can take straight into the room. - Every match explained - Sources kept - Reweight and re-rank live - Yours to export ## Start with built-in brands, then use your own store list. Explore curated national brands, add any US chain by name, or upload your store list to rank the whole country against your real footprint. LookAlike gathers the open data for you; there is no data subscription to sign. - **Weight your winners**Use a performance column to tilt the archetype toward your best stores. - **Private, versioned datasets**Uploads stay in your workspace and load again later without re-uploading. Open-data foundations - **Residents** Population, income, education, and household makeup for every neighborhood. - **Places & access** Roads, walkability, and the businesses already trading around a site. - **Provenance kept** Every feature keeps its source and geographic level, visible in the app. No data subscription to sign. Every feature keeps its source, geographic level, and normalization, so any score can be traced back to the numbers behind it. ## Adjust your assumptions with visible sliders. Every ranking is driven by weights you can see and move. Six factor themes open into per-feature control, and the map and rankings re-score live in the browser. - **Presets and scenarios**Balanced, affluence-led, urbanism-led, and community-led, saved and shareable. - **Exclude by choice**Drop race and ethnicity with one click, with the trade-off explained. Weight the factors Balanced - Income, wealth & housing 1.0× - Education 1.0× - Density & transportation 1.0× - Age & household type 1.0× - Race & ethnicity 1.0× ## Compare two brands on one map. Compare your concept with a rival, or a built-in brand with your own upload, to see which brand each neighborhood resembles more closely and how contested the ground is. - **Three-way split**Neighborhoods that match you, resemble both, or match them more closely. - **Overlap count**The number of neighborhoods both brands would fight for. ![A diverging comparison map of the Chicago region: blue marks neighborhoods that resemble Sweetgreen, concentrated in the metro cores around Chicago and Milwaukee, and orange marks neighborhoods that resemble Tractor Supply across the surrounding countryside.](https://lookalikeiq.com/shots/compare-map.webp) Around Chicago and Lake Michigan, Sweetgreen (blue) holds the metro cores while Tractor Supply (orange) owns the countryside. ## Turn the map into a deliverable. Build a defensible shortlist straight from the map. Star neighborhoods, annotate the reason, the contact, and the next step, and flag bad matches as not a fit to review what they share. - **Print-ready report**A PDF a broker or franchise developer can hand to a client. - **CSV and share links**Fit bands, reliability flags, competition columns, and the full scenario in one link. Shortlist · 4 saved 1. 1 Tract 84.03, Sacramento County, CA Trader Joe's · 100th percentile 2. 2 Tract 33, Sacramento County, CA Trader Joe's · 100th percentile 3. 3 Tract 7.01, Multnomah County, OR Trader Joe's · 100th percentile 4. 4 Tract 53.33, Clark County, NV Trader Joe's · 100th percentile ## Built for people who put pins in maps for a living. [ ### Retail & restaurant expansion 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. Read more](https://lookalikeiq.com/for/retail-expansion/)[ ### Franchise development Screen territory whitespace against your existing franchisee neighborhoods, then give candidates a clear, evidence-backed record of the comparison. Read more](https://lookalikeiq.com/for/franchise-development/)[ ### CRE brokerage & tenant rep Rank markets and neighborhoods against the tenant's own footprint, explain every candidate, and give the deal team a shareable record of the assumptions. Read more](https://lookalikeiq.com/for/commercial-real-estate/) ## What else should you know? ### What does LookAlike actually tell me? Where to look first. It ranks every US neighborhood by how closely it resembles the places you already win, and opens every match into the reasons behind it — a ranked, explained shortlist your team acts on. ### How many neighborhoods and features does it use? LookAlike ranks all 83,008 US neighborhoods, one per census tract, on 21 open-data features covering residents, workers, access, and nearby business. Every score is explained feature by feature. ### Can I score my own stores, not just built-in brands? Yes. Upload your store list and it becomes a private, versioned dataset in your workspace, then rank the whole country against your real footprint. You can weight the archetype toward your best locations. ### Does it work outside the United States? No. Coverage is every US state at census-tract level. There is no international coverage today. More on [how the screen works](https://lookalikeiq.com/method/) and [who LookAlike is for](https://lookalikeiq.com/for/). ## See your brand's map. Pick a plan, upload your store list, and rank every US neighborhood against the places you already win. [Get started](https://lookalikeiq.com/pricing/) [See the method](https://lookalikeiq.com/method/) Canonical URL: https://lookalikeiq.com/