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Case Study

EllieReid

A market-intelligence terminal for home-service operators. Combines six authoritative data sources and a four-pillar scoring system to surface high-potential service areas, with a narrative market brief on every ZIP in America.

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Tech Stack

Next.js
React
TypeScript
Census API
Google Places API
Google Trends
The Process
01

The Challenge

Home service businesses had no systematic way to identify high-potential service areas, relying on intuition rather than data-driven analysis of demographics, demand, and competition.

Built a multi-source market-intelligence platform that scores 50,000+ U.S. ZIP codes across four pillars, aggregating Census demographics, competition, and demand signals into heatmaps and an auto-generated narrative brief for every market.

Key Features

01

Four-pillar opportunity scoring across 50,000+ U.S. ZIP codes

02

Six authoritative data sources aggregated into one terminal

03

Auto-generated narrative market brief for every ZIP

04

Heatmap visualizations for opportunity scoring

05

Customizable filtering by service type and density