Score 200 candidate markets continuously, not one $80,000 study at a time
A single per-market score that combines competitor density, cannibalization risk, demographics, territory rules, foot traffic, and franchise-system performance — so picking the next location stops being a quarterly study.
The problem
You run 120 units and want to expand by 20 next year. You have 200 candidate markets on the list and no clean way to rank them. Each market needs a score that combines competitor density (how saturated is the area?), cannibalization risk (would this location steal traffic from a sister unit?), demographics (does the population match your customer?), territory protections (what does the franchise agreement allow?), foot traffic (is there real demand in this trade area?), and franchise-system performance (do similar markets in your system actually work?). The site-selection platforms (Buxton at $25,000 to $100,000 a year plus $80,000 per study, Tango, SiteZeus, ESRI Business Analyst, CARTO, Targomo, Placer.ai, SafeGraph) score markets as part of one-off site-selection engagements that run on a quarterly cadence — not as continuous scoring across the whole candidate pool. The market-research consultancies (Buxton consulting, Synergos, Kantar Retail, Nielsen Consumer Insights, McKinsey market-entry) run $50,000 to $500,000 engagements that ship after the moment you needed them. In-house GIS analysts with ArcGIS take four to twelve weeks per cycle and burn out past 20 markets. Manual scoring spreadsheets fall apart past a portfolio with more than one banner.
What success looks like
Every candidate market gets a continuous composite score that combines the signals that actually predict whether a location will work: competitor density, cannibalization risk against your existing units, demographics matched to your customer, territory protections, foot traffic in the trade area, and the performance of structurally similar markets already in your system. You see the breakdown of the score, not just the number, so you know whether Market 47 ranks high because of foot traffic and competitor density (a strong signal) or because of demographics alone (a weaker one). Multi-banner operators see scoring across every banner, with the same methodology applied consistently. Compliance-sensitive signals (HIPAA, FDA, California consumer-data) are handled correctly. Every score and every signal contribution is preserved so the board, an investor, or a private-equity sponsor can ask how a market got its rank and get a clean answer.
How most operators solve this today
Five categories of tools touch market scoring. None of them score 200 candidates continuously.
Site-selection platforms (Buxton, Tango, SiteZeus, Pitney Bowes Spectrum, ESRI Business Analyst, CARTO, Targomo, Placer.ai, SafeGraph)
$5,000 to $150,000+ per year, plus around $80,000 per one-off Buxton study
Built around one-off site-selection engagements. Not continuous scoring across a whole candidate pool.
Market-research consultancies (Buxton consulting, Synergos, MapInfo, Kalibrate, Kantar Retail, Nielsen Consumer Insights, McKinsey market-entry)
$50,000 to $500,000+ per engagement
Ships on a quarterly cadence. The answer arrives after the decision deadline.
In-house GIS and market analysts using ArcGIS or QGIS
$80,000 to $160,000 per year per analyst, plus four to twelve weeks per cycle
Custom Looker dashboards per scoring cycle. Falls apart past 20 markets or a multi-banner portfolio.
Demographic data API providers (Esri Demographics, Claritas PRIZM, Experian Mosaic, Acxiom Personicx, AnalyticsIQ, SafeGraph Demographics)
$1,500 to $200,000+ per year
Demographic inputs only. You still have to combine them with the other signals yourself.
Build it in-house
Excel scoring matrix, plus hours per cycle per analyst
Falls apart past 20 markets or any multi-banner portfolio.
What changes when this is an agent skill
Every candidate market gets a continuous score that combines the signals that actually predict whether a location will work. Competitor density tells you how saturated the area is. Cannibalization risk tells you whether this site would steal from a sister unit. Demographics tell you whether the population matches your customer. Territory protections tell you what the franchise agreement allows. Foot traffic tells you whether there is real demand in the trade area. Franchise-system performance tells you whether structurally similar markets already in your system actually work. You see the breakdown of every score, not just the number — so you can tell whether Market 47 ranks high for the right reasons (foot traffic plus competitor density plus demographics) or the wrong ones (demographics alone). Multi-banner operators get the same methodology applied across every banner, so a Phoenix market scored for the fitness brand and a Phoenix market scored for the urgent-care brand use the same logic, just different inputs. Compliance-sensitive signals are handled correctly out of the box. Every score and every signal contribution is preserved with a timestamp, so the board, an investor, or a private-equity sponsor can ask how a market got its rank and get a clean answer. Buxton, Tango, SiteZeus, and Placer.ai remain a reasonable choice for one-off site-selection studies. ArcGIS remains valuable for the GIS team. Consultancies remain useful for once-a-year market-entry advisory. This sits across all of it and gives you a continuous answer.
Agents that include this skill
Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.
Territory Analysis + Market Scoring Agent
Franchise-developer decisioning surface — per-market buy/skip/probe scoring with demographics, foot-traffic, real-estate, and FDD territorial-protection gating.
FAQ
- What does a market score actually tell me?
- How a candidate market ranks against your other candidates, what the underlying signals say, and which signals are doing the work. You see the number and the breakdown — so a high score for the right reasons reads differently from a high score for the wrong reasons.
- How is this different from Buxton, Tango, or SiteZeus?
- Those are excellent for one-off site-selection studies. Each study takes weeks and costs tens of thousands. This scores 200 candidates continuously and updates as the underlying signals change.
- How is this different from a Buxton, Kantar, or McKinsey market-entry engagement?
- Those are quarterly or annual engagements at $50,000 to $500,000+ a piece. Useful for set-piece strategy work. Not useful for the weekly decisions about which 5 of next month's 20 candidate sites should make the short list.
- Does it replace our GIS team?
- No. The GIS team's site-specific work — the deep dive on the top three candidates — is still where their judgment compounds. This handles the upstream ranking so they spend their time on the candidates that actually deserve it.
- Which signals feed the score?
- Competitor density in the trade area, cannibalization risk against your existing units, demographics matched to your customer, franchise-territory rules, foot traffic, and franchise-system performance from structurally similar markets already in your system.
- Does it work for multi-banner operators?
- Yes. The same methodology applies across every banner, so a Phoenix score for the fitness brand and a Phoenix score for the urgent-care brand use the same logic and produce comparable rankings.
- Can the board or a PE sponsor ask how a market got its score?
- Yes. Every score and every signal contribution is preserved with a timestamp. The audit trail is the answer.
- How fast does scoring update when new data lands?
- Continuously. A new foot-traffic feed, a new competitor opening, or a demographic shift all flow through automatically. You do not pay for a new study to capture them.