ZIP codes analyzed
census data sources
weighted factors
Precision Garage Door, a leading national garage door service provider, needed a sophisticated approach to identify optimal markets for expansion across Ohio and Pennsylvania.
Traditional market analysis methods were time-consuming and often missed key demographic indicators that correlate with garage door service demand. Precision needed a data-driven solution that could analyze thousands of ZIP codes simultaneously.
MOOD developed a comprehensive analytics platform that leverages US Census data and proprietary algorithms to score and rank ZIP codes based on multiple factors including housing types, income levels, and population density.
The result was a powerful market intelligence tool that transformed how Precision identifies and prioritizes expansion opportunities, providing actionable insights backed by real demographic data.
Precision Garage Door faced the challenge of analyzing over 10,000 ZIP codes across multiple states to identify areas with the highest potential for garage door services.
The analysis needed to account for multiple variables including the percentage of single-family homes, median household income, home values, and population density—all factors that correlate with garage ownership and service demand.
Traditional market research approaches would have taken months and provided limited insights. Precision needed a solution that could process vast amounts of demographic data and deliver actionable recommendations.
The challenge was to create a scoring algorithm that accurately weighted different factors and could be applied consistently across diverse geographic areas.
"We needed more than just demographic data—we needed intelligence. MOOD's analytics solution gave us the precision to make confident expansion decisions based on real market potential."
* Client testimonials have been edited for clarity and brevity while maintaining the original intent and meaning.
Precision Garage Door
Leadership Team
Developed sophisticated SQL views that process US Census Bureau ACS 5-Year Estimate data across five key tables: median income, home values, structure age, population, and housing types.
Created a weighted scoring model with specific factors: 35% single-family detached homes, 25% median household income, 20% median home value, and 20% population size (excluding ZIPs under 10,000 residents).
Implemented distance calculations from reference locations using latitude/longitude data to identify clusters of high-potential markets and optimize service territory planning.
Built normalization algorithms that ensure fair comparison across diverse ZIP codes, accounting for regional variations in income, home values, and population density.
The analytics platform provided Precision Garage Door with unprecedented insights into market potential, enabling data-driven expansion decisions that significantly improved targeting accuracy and ROI.
Comprehensive analysis across Ohio and Pennsylvania markets.
Income, home values, population, housing types, and structure age.
Housing type (35%), income (25%), home value (20%), population (20%).
ZIP codes under 10,000 residents excluded from analysis.
Build right. Scale fast. Deliver outcomes. Better MOOD.