EllieReid's feature set is a single long answer to one question: which ZIP, for what service, with how much confidence.
Pillar scores are deterministic — a formula, not a model. Percentile-normalized against national baselines. Per-service-type weights. Everything visible, everything editable.
Count the noise, not the market.
Establishments per thousand households, weighted by review-count density. Quiet ZIPs — counterintuitively — score higher.
Read the incumbents' homepage. Score it.
We measure review velocity, star distribution, photo fluency, reply cadence, and SEO coverage. Sleepy competitors mean open lanes.
What does the neighborhood actually need?
Owner-occupancy, median home age, median home value, search-trend slope, and BLS wage growth combine into a pull index.
Will your pricing hold?
Median income, wage environment, disaster-risk discount from FEMA. A pricing-power index in one number.
Each capability solves one research question you'd otherwise answer with a consultant, a spreadsheet, and a lost weekend.
Point-and-radius in miles or kilometers. Handle address disambiguation, auto-resolve FIPS, return every candidate ZIP in the catchment.
Roofing, HVAC, pest, restoration, solar, hard-to-categorize niche — type it, weight it, save it. Your business logic, our data.
Click a dot, read a dossier. Cluster by pillar, split by income band, overlay FEMA exposure. Exports ship to CSV, XLSX, and PDF.
Ask the advisor in plain language. It classifies intent, drills the top ten ZIPs, and writes a narrated brief with the sources inline.
Star a ZIP, annotate it, share it. Markets persist across sessions; changes to underlying data trigger a re-score.
Slide the four pillar weights to match your thesis. Roof-and-gutter outfits weight disaster risk; solar outfits weight income. Saves per service type.