Car wash · QSR · Gas · C-store · Drive-thru · Brokers · Automotive Services · Franchise developers
Site decisions involve traffic, customers, competition, and demand - each a research question. We bring primary-source data, modeled scenarios, and a documented methodology to those questions, alongside operator judgment.
Traffic, demographics, and competitor density are research questions with verified, citable answers from federal and commercial sources - the kind of inputs that hold up to a lender or partner.
A new site is a $300K–$1.5M commitment. Base, bull, and bear revenue projections give that capital a documented analytical base alongside operator pro-formas.
Two candidate tracts can look identical on a map. Demand capture, customer fit, and competitive density modeling surface the differences that matter before lease or build.
Six analytical workstreams built on primary-source data, market research, and standardized evaluation criteria.
Census tracts evaluated across traffic volume, demographic fit, and competitive density to identify the strongest opportunities.
Assessment of trade area demographics and their alignment with the operator's target customer base.
Federal traffic counts supplemented with local demand indicators to evaluate customer activity and site exposure.
Base, upside, and downside scenarios developed from operating assumptions and estimated market demand.
Evaluation of key performance risks and factors that may influence first-year outcomes.
Geographic analysis of competitor locations and their overlap with the candidate trade area.
A relatively small research investment helps inform a capital decision that may involve hundreds of thousands of dollars in deployment risk.
Two trade areas appear comparable at first glance: both located on active commercial corridors and both presenting apparent demand. Our analysis found: Area A records approximately 18,000 vehicles per day, exhibits positive population growth, and faces lower competitive density. Area B records roughly 6,000 vehicles per day, has declining population trends, and contains three competing washes within a two-mile radius.
Projected outcome: Area A supports an estimated annual revenue potential exceeding $400K, while Area B does not meet break-even thresholds under comparable operating assumptions. A $4,500 Standard report helps identify this distinction before capital is committed.
A franchise developer is evaluating three prospective markets representing approximately $1.8M in planned capital deployment. On preliminary review, all three markets appear similar. A Tier 3 analysis identified meaningful differences: Markets A and B demonstrated strong indicators of first-year viability, while Market C showed weaker traffic fundamentals and increased competitive pressure from planned entrants.
Result: Capital is allocated to the stronger opportunities while the weaker market is deferred for further review. The analysis reduces uncertainty, improves resource allocation, and provides additional support for lender and investor discussions.
Pick the depth that fits the decision. Every report is fixed-fee with a defined deliverable.
Target geography, capital available, decision criteria, and what matters most.
Traffic counts, demographic tracts, and competitor inventory from primary sources.
Rank tracts, project revenue, and run downside probabilities under documented weights.
Annotated maps, written report, and a clear go / no-go recommendation.
Every input is authoritative and traceable. No third-party guesstimates layered on each other.
| Source | What it covers |
|---|---|
| Federal Highway Data | Daily traffic counts at the road-segment level |
| U.S. Census · ACS | Tract-level population, income, age, and education |
| BEA / BLS Series | County-level economic growth and labor signals |
| County Business Patterns | Establishment counts by industry, for competitive density |
| Live places API | Operating competitor locations and trade-area overlap (live) |
| CPI series | Purchasing-power adjustments on revenue projections |
I founded AniPoint to bring a more structured, data-driven approach to site selection. Our research combines demographic analysis, traffic data, competitive intelligence, and geospatial methods to help operators evaluate locations before capital is committed.
Share the geography, target use case, or candidate sites, and we'll recommend an appropriate research scope.