How to Use Business Data to Choose the Best Location for a Store
Location is the #1 success factor for retail. Here is how to use data — not gut — to pick the right spot.
The Data-Driven Approach
Most location decisions are driven by gut, broker pitches, and "I like this neighbourhood." Data-driven decisions outperform consistently.
The 4 Data Inputs
1. Competitor density (AI business search).
2. Foot traffic (Google Maps popular times, drone counts).
3. Demographics (Census Bureau).
4. Anchor tenants (what brings people to this area).
The Decision Matrix
Score each candidate location on: Distance from direct competitors (further = better, all else equal). Foot traffic (higher = better). Demographic match (higher = better). Co-tenant strength (more strong neighbours = better).
Sample Process
Comparing 5 retail spaces. AI search shows competitor distance for each. Census shows demographics. Google Maps shows foot traffic. Score each, pick the highest total.
Cost
2 hours of analysis vs. 5 years stuck in a wrong location. Worth it.
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